Aussie AI

Temporal Reasoning

  • Last Updated 17 November, 2025
  • by David Spuler, Ph.D.

Research on Temporal Reasoning

Research papers include:

  • Jonas Wallat, Adam Jatowt, Avishek Anand, March 2024, Temporal Blind Spots in Large Language Models, WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data Mining, Pages 683–692, https://arxiv.org/abs/2401.12078, https://doi.org/10.1145/3616855.3635818, https://dl.acm.org/doi/abs/10.1145/3616855.3635818
  • Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri, 22 Apr 2024 (v3), Large Language Models Can Learn Temporal Reasoning, https://arxiv.org/abs/2401.06853
  • Bowen Zhao, Zander Brumbaugh, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, 26 Feb 2024, Set the Clock: Temporal Alignment of Pretrained Language Models, https://arxiv.org/abs/2402.16797 Code: https://github.com/yizhongw/llm-temporal-alignment
  • 16 Nov 2023, Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning, Qingyu Tan, Hwee Tou Ng, Lidong Bing, https://arxiv.org/abs/2311.09821
  • Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen, 16 Nov 2023 (v2), Are Large Language Models Temporally Grounded? https://arxiv.org/abs/2311.08398 Code: https://github.com/yfqiu-nlp/temporal-llms
  • Raghav Jain, Daivik Sojitra, Arkadeep Acharya, Sriparna Saha, Adam Jatowt, Sandipan Dandapat, December 2023, Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing https://aclanthology.org/2023.emnlp-main.418/ PDF: https://aclanthology.org/2023.emnlp-main.418.pdf
  • Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu, 8 Oct 2023, MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models, https://arxiv.org/abs/2310.05157
  • Himanshu Beniwal, Kowsik Nandagopan D, Mayank Singh, 19 Feb 2024, Remember This Event That Year? Assessing Temporal Information and Reasoning in Large Language Models, https://arxiv.org/abs/2402.11997
  • Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi, 13 Jun 2024, Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning, https://arxiv.org/abs/2406.09170
  • Irwin Deng, Kushagra Dixit, Vivek Gupta, Dan Roth, 22 Jul 2024, Enhancing Temporal Understanding in LLMs for Semi-structured Tables, https://arxiv.org/abs/2407.16030
  • Dimitris Spathis, Fahim Kawsar, The first step is the hardest: pitfalls of representing and tokenizing temporal data for large language models, Journal of the American Medical Informatics Association, Volume 31, Issue 9, September 2024, Pages 2151–2158, https://doi.org/10.1093/jamia/ocae090 https://academic.oup.com/jamia/advance-article-abstract/doi/10.1093/jamia/ocae090/7702405?redirectedFrom=fulltext
  • Mayi Xu, Yunfeng Ning, Yongqi Li, Jianhao Chen, Jintao Wen, Yao Xiao, Shen Zhou, Birong Pan, Zepeng Bao, Xin Miao, Hankun Kang, Ke Sun, Tieyun Qian, 2 Jan 2025, Reasoning based on symbolic and parametric knowledge bases: a survey, https://arxiv.org/abs/2501.01030 (Extensive survey of reasoning from CoT to knowledge graphs to table-based reasoning.)
  • Yubin Ge, Salvatore Romeo, Jason Cai, Raphael Shu, Monica Sunkara, Yassine Benajiba, Yi Zhang, 3 Feb 2025, TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues, https://arxiv.org/abs/2502.01630
  • Jongho Kim, Seung-won Hwang, 17 Feb 2025, Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models, https://arxiv.org/abs/2502.11425
  • Ningke Li, Yahui Song, Kailong Wang, Yuekang Li, Ling Shi, Yi Liu, Haoyu Wang, 19 Feb 2025, Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning, https://arxiv.org/abs/2502.13416
  • Yuhan Xie, William Cappelletti, Mahsa Shoaran and Pascal Frossard, 13 Aug 2025, rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data, https://arxiv.org/abs/2508.10147
  • Xuanhao Mu, G\"okhan Demirel, Yuzhe Zhang, Jianlei Liu, Thorsten Schlachter and Veit Hagenmeyer, 14 Aug 2025, Self-Supervised Temporal Super-Resolution of Energy Data using Generative Adversarial Transformer, https://arxiv.org/abs/2508.10587
  • Qianru Zhang, Xinyi Gao, Haixin Wang, Dong Huang, Siu-Ming Yiu and Hongzhi Yin, 14 Aug 2025, HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning, https://arxiv.org/abs/2410.10915
  • Chandra Raskoti, Iftekharul Islam, Xuan Wang, and Weizi Li, 13 Aug 2025, MIAT: Maneuver-Intention-Aware Transformer for Spatio-Temporal Trajectory Prediction, https://arxiv.org/abs/2504.05059
  • Luca Salvatore Lorello, Nikolaos Manginas, Marco Lippi, Stefano Melacci, 23 Jul 2025, LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning, https://arxiv.org/abs/2507.17482
  • Shaohan Li, Hao Yang, Min Chen, Xiaolin Qin, 23 Jul 2025, Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems, https://arxiv.org/abs/2507.17189
  • Tobias Morocutti, Jonathan Greif, Paul Primus, Florian Schmid, Gerhard Widmer, 23 Jul 2025, On Temporal Guidance and Iterative Refinement in Audio Source Separation, https://arxiv.org/abs/2507.17297
  • Weihua Gao, Chunxu Ren, Wenlong Niu, Xiaodong Peng, 23 Jul 2025, Temporal Point-Supervised Signal Reconstruction: A Human-Annotation-Free Framework for Weak Moving Target Detection, https://arxiv.org/abs/2507.17334
  • Jianhao Chen, Junyang Ren, Wentao Ding, Haoyuan Ouyang, Wei Hu, Yuzhong Qu, 23 Jul 2025, Conflict Detection for Temporal Knowledge Graphs:A Fast Constraint Mining Algorithm and New Benchmarks, https://arxiv.org/abs/2312.11053
  • Guangqiang Li, M. Amine Atoui and Xiangshun Li, 23 Jul 2025, Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes, https://arxiv.org/abs/2504.05172
  • Pascal K\"undig, Fabio Sigrist, 23 Jul 2025, A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios, https://arxiv.org/abs/2410.02846
  • Xi Yang, Jiachen Wang, Song Han, Suining He, 21 Jul 2025, Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network, https://arxiv.org/abs/2507.16020
  • Chang Li, Yaren Zhang, Haoran Lv, Qiong Cao, Chao Xue, Xiaodong He, 22 Jul 2025, Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs, https://arxiv.org/abs/2507.16473
  • Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang, 22 Jul 2025, Reducing GPU Memory Fragmentation via Spatio-Temporal Planning for Efficient Large-Scale Model Training, https://arxiv.org/abs/2507.16274
  • Alireza Dizaji, Benedict Aaron Tjandra, Mehrab Hamidi, Shenyang Huang, Guillaume Rabusseau, 22 Jul 2025, T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs, https://arxiv.org/abs/2507.10183
  • Shiyuan Zhang, Tong Li, Zhu Xiao, Hongyang Du, Kaibin Huang, 23 Jul 2025, LSDM: LLM-Enhanced Spatio-temporal Diffusion Model for Service-Level Mobile Traffic Prediction, https://arxiv.org/abs/2507.17795
  • Jianchao Wang, Qingfeng Li, Pengcheng Zheng, Xiaorong Pu, Yazhou Ren, 24 Jul 2025, ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory, https://arxiv.org/abs/2507.18183
  • Ruizhe Chen, Zhiting Fan, Tianze Luo, Heqing Zou, Zhaopeng Feng, Guiyang Xie, Hansheng Zhang, Zhuochen Wang, Zuozhu Liu, Huaijian Zhang, 24 Jul 2025, Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning, https://arxiv.org/abs/2507.18100
  • Edward Fish and Andrew Gilbert, 24 Jul 2025, PLOT-TAL: Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization, https://arxiv.org/abs/2403.18915
  • Haoyang Li, Yuming Xu, Yiming Li, Hanmo Liu, Darian Li, Chen Jason Zhang, Lei Chen, Qing Li, 18 Jul 2025, When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction, https://arxiv.org/abs/2507.13825
  • Pedro Cabalar, Mart\'in Di\'eguez, Fran\c{c}ois Olivier, Torsten Schaub and Igor St\'ephan, 18 Jul 2025, Towards Constraint Temporal Answer Set Programming, https://arxiv.org/abs/2507.13958
  • Itay Katav, Aryeh Kontorovich, 18 Jul 2025, ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal Dependencies, https://arxiv.org/abs/2507.13998
  • Jianhong Chen, Meng Zhao, Mostafa Reisi Gahrooei, Xubo Yue, 18 Jul 2025, Toward Temporal Causal Representation Learning with Tensor Decomposition, https://arxiv.org/abs/2507.14126
  • Sirui Wang, Zhou Guan, Bingxi Zhao, Tongjia Gu, 17 Jul 2025, CaSTFormer: Causal Spatio-Temporal Transformer for Driving Intention Prediction, https://arxiv.org/abs/2507.13425
  • Garapati Keerthana, Manik Gupta, 18 Jul 2025, DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits, https://arxiv.org/abs/2507.14079
  • Haoyu He, Haozheng Luo, Yan Chen, Qi R. Wang, 18 Jul 2025, Efficient Temporal Tokenization for Mobility Prediction with Large Language Models, https://arxiv.org/abs/2507.14017
  • Jiayu Song, Mahmud Elahi Akhter, Dana Atzil Slonim, Maria Liakata, 18 Jul 2025, Temporal reasoning for timeline summarisation in social media, https://arxiv.org/abs/2501.00152
  • Lingyu Li, Yang Yao, Yixu Wang, Chubo Li, Yan Teng, Yingchun Wang, 21 Jul 2025, The Other Mind: How Language Models Exhibit Human Temporal Cognition, https://arxiv.org/abs/2507.15851
  • Xuetao Lin (1 and 2), Tianhao Peng (1 and 2), Peihong Dai (1 and 2), Yu Liang (3), Wenjun Wu (1 and 2) ((1) Beihang University, Beijing, China, (2) SKLCCSE, Beijing, China, (3) Beijing University of Technology, Beijing, China), 19 Jul 2025, Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition, https://arxiv.org/abs/2507.14698
  • Mehak Arora, Ayman Ali, Kaiyuan Wu, Carolyn Davis, Takashi Shimazui, Mahmoud Alwakeel, Victor Moas, Philip Yang, Annette Esper, Rishikesan Kamaleswaran, 19 Jul 2025, CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories, https://arxiv.org/abs/2507.14766
  • Rabia Latief Bhat and Iqra Altaf Gillani, 21 Jul 2025, Spatio-Temporal Demand Prediction for Food Delivery Using Attention-Driven Graph Neural Networks, https://arxiv.org/abs/2507.15246
  • Matthew J. Bryan, Felix Schwock, Azadeh Yazdan-Shahmorad, Rajesh P N Rao, 21 Jul 2025, Temporal Basis Function Models for Closed-Loop Neural Stimulation, https://arxiv.org/abs/2507.15274
  • Xinxin Dong, Baoyun Peng, Haokai Ma, Yufei Wang, Zixuan Dong, Fei Hu, Xiaodong Wang, 20 Jul 2025, LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering, https://arxiv.org/abs/2507.14784
  • Shaohang Wei, Wei Li, Feifan Song, Wen Luo, Tianyi Zhuang, Haochen Tan, Zhijiang Guo, Houfeng Wang, 19 Jul 2025, TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios, https://arxiv.org/abs/2505.12891
  • Duygu Sezen Islakoglu, Jan-Christoph Kalo, 21 Jul 2025, ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events, https://arxiv.org/abs/2501.03040
  • Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang, Jingren Zhou, 19 Jul 2025, Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation, https://arxiv.org/abs/2409.07416
  • Yijing Lin, Mengqi Huang, Shuhan Zhuang, Zhendong Mao, 20 Jul 2025, RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models, https://arxiv.org/abs/2503.10406
  • Bo-Cheng Chiu, Jen-Jee Chen, Yu-Chee Tseng and Feng-Chi Chen, 21 Jul 2025, DaMO: A Data-Efficient Multimodal Orchestrator for Temporal Reasoning with Video LLMs, https://arxiv.org/abs/2506.11558
  • Yiming Yang, Yueru Luo, Bingkun He, Hongbin Lin, Suzhong Fu, Chao Zheng, Zhipeng Cao, Erlong Li, Chao Yan, Shuguang Cui, Zhen Li, 20 Jul 2025, TopoStreamer: Temporal Lane Segment Topology Reasoning in Autonomous Driving, https://arxiv.org/abs/2507.00709
  • Agnideep Aich, Ashit Baran Aich, Dipak C. Jain, 21 Jul 2025, Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting, https://arxiv.org/abs/2507.05470
  • Zhaoyu Chen, Hongnan Lin, Yongwei Nie, Fei Ma, Xuemiao Xu, Fei Yu, Chengjiang Long, 10 Aug 2025, Invert4TVG: A Temporal Video Grounding Framework with Inversion Tasks for Enhanced Action Understanding, https://arxiv.org/abs/2508.07388
  • Jie Li, Haoye Dong, Zhengyang Wu, Zetao Zheng, Mingrong Lin, 11 Aug 2025, Disentangling Multiplex Spatial-Temporal Transition Graph Representation Learning for Socially Enhanced POI Recommendation, https://arxiv.org/abs/2508.07649
  • Yiran Huang, Amirhossein Nouranizadeh, Christine Ahrends, Mengjia Xu, 9 Aug 2025, BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation, https://arxiv.org/abs/2508.07106
  • Sichen Zhao, Wei Shao, Jeffrey Chan, Ziqi Xu, Flora Salim, 11 Aug 2025, FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction, https://arxiv.org/abs/2508.07518
  • Mohammed-Khalil Ghali, Cecil Pang, Oscar Molina, Carlos Gershenson-Garcia, Daehan Won, 24 Jul 2025, Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News, https://arxiv.org/abs/2508.06497
  • Zihao Sheng, Zilin Huang, Yen-Jung Chen, Yansong Qu, Yuhao Luo, Yue Leng, Sikai Chen, 9 Aug 2025, SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understanding, https://arxiv.org/abs/2508.06763
  • Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu, 10 Aug 2025, Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment, https://arxiv.org/abs/2508.07195
  • Chaohong Guo, Xun Mo, Yongwei Nie, Xuemiao Xu, Chao Xu, Fei Yu, and Chengjiang Long, 11 Aug 2025, TAR-TVG: Enhancing VLMs with Timestamp Anchor-Constrained Reasoning for Temporal Video Grounding, https://arxiv.org/abs/2508.07683
  • Zhuqiang Lu, Zhenfei Yin, Mengwei He, Zhihui Wang, Zicheng Liu, Zhiyong Wang and Kun Hu, 11 Aug 2025, B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens, https://arxiv.org/abs/2412.09919
  • Jiawen Qi, Chang Gao, Zhaochun Ren, Qinyu Chen, 25 Jul 2025, DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference, https://arxiv.org/abs/2507.19608
  • Pritom Ray Nobin, Imran Ahammad Rifat, 28 Jul 2025, STARN-GAT: A Multi-Modal Spatio-Temporal Graph Attention Network for Accident Severity Prediction, https://arxiv.org/abs/2507.20451
  • Yongzheng Liu, Yiming Wang, Po Xu, Yingjie Xu, Yuntian Chen, Dongxiao Zhang, 28 Jul 2025, BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network, https://arxiv.org/abs/2507.20838
  • Gongli Xi, Ye Tian, Yannan Hu, Yuchao Zhang, Yapeng Niu and Xiangyang Gong, 27 Jul 2025, Packet-Level DDoS Data Augmentation Using Dual-Stream Temporal-Field Diffusion, https://arxiv.org/abs/2507.20115
  • Javier Sol\'is-Garc\'ia, Bel\'en Vega-M\'arquez, Juan A. Nepomuceno, Isabel A. Nepomuceno-Chamorro, 26 Jul 2025, CoSTI: Consistency Models for (a faster) Spatio-Temporal Imputation, https://arxiv.org/abs/2501.19364
  • Dyuman Aditya, Colton Payne, Mario Leiva, Paulo Shakarian, 27 Jul 2025, Machine Learning Model Integration with Open World Temporal Logic for Process Automation, https://arxiv.org/abs/2506.17776
  • Lei Zheng, Ning Li, Weinan Zhang, Yong Yu, 27 Jul 2025, Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System, https://arxiv.org/abs/2404.15678
  • Yu Tai, Xinglong Wu, Hongwei Yang, Hui He, Duanjing Chen, Yuanming Shao and Weizhe Zhang, 28 Jul 2025, How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method, https://arxiv.org/abs/2411.00612
  • Pallavi Zambare, Venkata Nikhil Thanikella, Ying Liu, 25 Jul 2025, Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues, https://arxiv.org/abs/2507.21161
  • Jing Ren, Suyu Ma, Hong Jia, Xiwei Xu, Ivan Lee, Haytham Fayek, Xiaodong Li, Feng Xia, 29 Jul 2025, LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection, https://arxiv.org/abs/2507.21756
  • Zhengpeng Feng, Clement Atzberger, Sadiq Jaffer, Jovana Knezevic, Silja Sormunen, Robin Young, Madeline C Lisaius, Markus Immitzer, David A. Coomes, Anil Madhavapeddy, Andrew Blake and Srinivasan Keshav, 29 Jul 2025, TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis, https://arxiv.org/abs/2506.20380
  • Boyuan Zheng and Victor W. Chu, 30 Jul 2025, Multi-Hazard Early Warning Systems for Agriculture with Featural-Temporal Explanations, https://arxiv.org/abs/2507.22962
  • Sofiane Bouaziz, Adel Hafiane, Raphael Canals, Rachid Nedjai, 30 Jul 2025, FuseTen: A Generative Model for Daily 10 m Land Surface Temperature Estimation from Spatio-Temporal Satellite Observations, https://arxiv.org/abs/2507.23154
  • Molly Wang, Kin.K Leung, 31 Jul 2025, Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic, https://arxiv.org/abs/2507.22174
  • Shahla John, 30 Jul 2025, Efficient Spatial-Temporal Modeling for Real-Time Video Analysis: A Unified Framework for Action Recognition and Object Tracking, https://arxiv.org/abs/2507.22421
  • Mohammed Kamran, Maria Bernathova, Raoul Varga, Christian Singer, Zsuzsanna Bago-Horvath, Thomas Helbich, Georg Langs, Philipp Seeb\"ock, 1 Aug 2025, LesiOnTime -- Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI, https://arxiv.org/abs/2508.00496
  • Camille Bourgaux, Anton Gnatenko, Micha\"el Thomazo, 1 Aug 2025, Analysing Temporal Reasoning in Description Logics Using Formal Grammars, https://arxiv.org/abs/2508.00575
  • Mingyu Kang, Duxin Chen, Ning Meng, Gang Yan and Wenwu Yu, 1 Aug 2025, Identifying Unique Spatial-Temporal Bayesian Network without Markov Equivalence, https://arxiv.org/abs/2211.10085
  • Yujing Ke and Kevin George and Kathan Pandya and David Blumenthal and Maximilian Sprang and Gerrit Gro{\ss}mann and Sebastian Vollmer and David Antony Selby, 2 Aug 2025, BioDisco: Multi-agent hypothesis generation with dual-mode evidence, iterative feedback and temporal evaluation, https://arxiv.org/abs/2508.01285
  • Jingtian Yan, Stephen F. Smith, Jiaoyang Li, 2 Aug 2025, WinkTPG: An Execution Framework for Multi-Agent Path Finding Using Temporal Reasoning, https://arxiv.org/abs/2508.01495
  • Zijian Guo, \.Ilker I\c{s}{\i}k, H. M. Sabbir Ahmad, Wenchao Li, 3 Aug 2025, One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning, https://arxiv.org/abs/2508.01561
  • Dong Li, Yichen Niu, Ying Ai, Xiang Zou, Biqing Qi, Jianxing Liu, 3 Aug 2025, T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval, https://arxiv.org/abs/2508.01680
  • Zhenan Lin, Yuni Lai, Wai Lun Lo, Richard Tai-Chiu Hsung, Harris Sik-Ho Tsang, Xiaoyu Xue, Kai Zhou, Yulin Zhu, 25 Jul 2025, Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting, https://arxiv.org/abs/2508.00884
  • Bang Hu, Changze Lv, Mingjie Li, Yunpeng Liu, Xiaoqing Zheng, Fengzhe Zhang, Wei cao, Fan Zhang, 4 Aug 2025, SpikeSTAG: Spatial-Temporal Forecasting via GNN-SNN Collaboration, https://arxiv.org/abs/2508.02069
  • Wei Hao, Bin Chong, Ronghua Ji, and Chen Hou, 4 Aug 2025, User Trajectory Prediction Unifying Global and Local Temporal Information, https://arxiv.org/abs/2508.02161
  • Erhang Zhang, Junyi Ma, Yin-Dong Zheng, Yixuan Zhou, Hesheng Wang, 4 Jun 2025, Zero-Shot Temporal Interaction Localization for Egocentric Videos, https://arxiv.org/abs/2506.03662
  • Jose M. S\'anchez Vel\'azquez, Mingbo Cai, Andrew Coney, \'Alvaro J. Garc\'ia- Tejedor, Alberto Nogales, 28 Jul 2025, Benefits of Feature Extraction and Temporal Sequence Analysis for Video Frame Prediction: An Evaluation of Hybrid Deep Learning Models, https://arxiv.org/abs/2508.00898
  • Weihong Li, Shaohua Dong, Haonan Lu, Yanhao Zhang, Heng Fan, Libo Zhang, 3 Aug 2025, DMTrack: Spatio-Temporal Multimodal Tracking via Dual-Adapter, https://arxiv.org/abs/2508.01592
  • Zhaoyu Hu, Hao Guo, Yuan Tian, Erpeng Xue, Jianyang Wang, Xianyang Qi, Hongxiang Lin, Lei Wang, Sheng Chen, 4 Aug 2025, Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation, https://arxiv.org/abs/2508.02451
  • Yixuan He, Aaron Sandel, David Wipf, Mihai Cucuringu, John Mitani, Gesine Reinert, 3 Aug 2025, Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions, https://arxiv.org/abs/2502.00302
  • Fengbin Zhu, Junfeng Li, Liangming Pan, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua, 3 Aug 2025, Towards Temporal-Aware Multi-Modal Retrieval Augmented Generation in Finance, https://arxiv.org/abs/2503.05185
  • Yihe Wang, Nadia Mammone, Darina Petrovsky, Alexandros T. Tzallas, Francesco C. Morabito, Xiang Zhang, 4 Aug 2025, ADformer: A Multi-Granularity Spatial-Temporal Transformer for EEG-Based Alzheimer Detection, https://arxiv.org/abs/2409.00032
  • Osama Mohammed, Jiaxin Pan, Mojtaba Nayyeri, Daniel Hern\'andez and Steffen Staab, 5 Aug 2025, Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning, https://arxiv.org/abs/2508.03251
  • Irene Ferfoglia, Simone Silvetti, Gaia Saveri, Laura Nenzi, Luca Bortolussi, 5 Aug 2025, Towards Interpretable Concept Learning over Time Series via Temporal Logic Semantics, https://arxiv.org/abs/2508.03269
  • Evangelos Sariyanidi, John D. Herrington, Lisa Yankowitz, Pratik Chaudhari, Theodore D. Satterthwaite, Casey J. Zampella, Robert T. Schultz, Russell T. Shinohara, Birkan Tunc, 29 Jul 2025, Measuring Dependencies between Biological Signals with Temporal Self-supervision, and its Limitations, https://arxiv.org/abs/2508.02703
  • Yi Zhang, Nikolaos Farmakidis, Ioannis Roumpos, Miltiadis Moralis-Pegios, Apostolos Tsakyridis, June Sang Lee, Bowei Dong, Yuhan He, Samarth Aggarwal, Nikolaos Pleros and Harish Bhaskaran, 5 Aug 2025, All-optical temporal integration mediated by subwavelength heat antennas, https://arxiv.org/abs/2505.04405
  • Amin Farajzadeh, Hongzhao Zheng, Sarah Dumoulin, Trevor Ha, Halim Yanikomeroglu, Amir Ghasemi, 5 Aug 2025, Data-Driven Spectrum Demand Prediction: A Spatio-Temporal Framework with Transfer Learning, https://arxiv.org/abs/2508.03863
  • Krishnakanta Barik and Goutam Paul, 6 Aug 2025, Quantum Temporal Fusion Transformer, https://arxiv.org/abs/2508.04048
  • Xiangzhe Xu, Guangyu Shen, Zian Su, Siyuan Cheng, Hanxi Guo, Lu Yan, Xuan Chen, Jiasheng Jiang, Xiaolong Jin, Chengpeng Wang, Zhuo Zhang, Xiangyu Zhang, 5 Aug 2025, ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants, https://arxiv.org/abs/2508.03936
  • Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu, 6 Aug 2025, Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction, https://arxiv.org/abs/2405.04336
  • Keivan Faghih Niresi, Ismail Nejjar, Olga Fink, 6 Aug 2025, Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion, https://arxiv.org/abs/2411.06917
  • Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng, 6 Aug 2025, UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting, https://arxiv.org/abs/2502.20634
  • Luis Mandl and Dibyajyoti Nayak and Tim Ricken and Somdatta Goswami, 7 Aug 2025, Physics-Informed Time-Integrated DeepONet: Temporal Tangent Space Operator Learning for High-Accuracy Inference, https://arxiv.org/abs/2508.05190
  • Shuonan Yang, Tailin Chen, Rahul Singh, Jiangbei Yue, Jianbo Jiao, Zeyu Fu, 6 Aug 2025, Revealing Temporal Label Noise in Multimodal Hateful Video Classification, https://arxiv.org/abs/2508.04900
  • Zhu Xu, Ting Lei, Zhimin Li, Guan Wang, Qingchao Chen, Yuxin Peng, Yang liu, 7 Aug 2025, TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring, https://arxiv.org/abs/2508.04943
  • Long Yang, Lianqing Zheng, Wenjin Ai, Minghao Liu, Sen Li, Qunshu Lin, Shengyu Yan, Jie Bai, Zhixiong Ma, Tao Huang and Xichan Zhu, 7 Aug 2025, MetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies, https://arxiv.org/abs/2501.15384
  • Serkan Sulun, Paula Viana, Matthew E. P. Davies, 7 Aug 2025, Video Soundtrack Generation by Aligning Emotions and Temporal Boundaries, https://arxiv.org/abs/2502.10154
  • Wenhao Dong, Yueyang Li, Weiming Zeng, Lei Chen, Hongjie Yan, Wai Ting Siok, and Nizhuan Wang, 7 Aug 2025, STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis, https://arxiv.org/abs/2501.00378
  • Barak Gahtan, Alex M. Bronstein, 8 Aug 2025, Architecture-Aware Generalization Bounds for Temporal Networks: Theory and Fair Comparison Methodology, https://arxiv.org/abs/2508.06066
  • Yidong Wang, Xin Wang, Cunxiang Wang, Junfeng Fang, Qiufeng Wang, Jianing Chu, Xuran Meng, Shuxun Yang, Libo Qin, Yue Zhang, Wei Ye, Shikun Zhang, 8 Aug 2025, Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future, https://arxiv.org/abs/2508.06026
  • Sofiane Bouaziz, Adel Hafiane, Raphael Canals, Rachid Nedjai, 8 Aug 2025, WGAST: Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion, https://arxiv.org/abs/2508.06485
  • Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Zhengkun Xiao, Yupu zhang, Haibo Wang, and Shigang Chen, 8 Aug 2025, Spatio-Temporal Partial Sensing Forecast for Long-term Traffic, https://arxiv.org/abs/2408.02689
  • Ignatius Rollere, Caspian Hartsfield, Seraphina Courtenay, Lucian Fenwick, Aurelia Grunwald, 8 Aug 2025, Algorithmic Segmentation and Behavioral Profiling for Ransomware Detection Using Temporal-Correlation Graphs, https://arxiv.org/abs/2501.17429
  • Abhishek Rajgaria, Kushagra Dixit, Mayank Vyas, Harshavardhan Kalalbandi, Dan Roth, Vivek Gupta, 7 Aug 2025, No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning, https://arxiv.org/abs/2506.11246
  • Ningning Fu, Shengheng Liu, Weiliang Xie, Yongming Huang, 1 Aug 2025, Multi-grained spatial-temporal feature complementarity for accurate online cellular traffic prediction, https://arxiv.org/abs/2508.08281
  • Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher, 11 Aug 2025, Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations, https://arxiv.org/abs/2508.08454
  • Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher, 11 Aug 2025, Using LLMs to Capture Users' Temporal Context for Recommendation, https://arxiv.org/abs/2508.08512
  • Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh, 12 Aug 2025, Not in My Backyard! Temporal Voting Over Public Chores, https://arxiv.org/abs/2508.08810
  • Ziyi Guo and Yan Wang, 12 Aug 2025, Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change, https://arxiv.org/abs/2508.08976
  • Maxim A. Patratskiy, Alexey K. Kovalev, Aleksandr I. Panov, 12 Aug 2025, Spatial Traces: Enhancing VLA Models with Spatial-Temporal Understanding, https://arxiv.org/abs/2508.09032
  • Wen Wang, Bozhen Fang, Chenchen Jing, Yongliang Shen, Yangyi Shen, Qiuyu Wang, Hao Ouyang, Hao Chen, Chunhua Shen, 12 Aug 2025, Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models, https://arxiv.org/abs/2508.09138
  • Yunhua Pei and John Cartlidge and Anandadeep Mandal and Daniel Gold and Enrique Marcilio and Riccardo Mazzon, 12 Aug 2025, Cross-Modal Temporal Fusion for Financial Market Forecasting, https://arxiv.org/abs/2504.13522
  • Victor Shea-Jay Huang, Le Zhuo, Yi Xin, Zhaokai Wang, Fu-Yun Wang, Yuchi Wang, Renrui Zhang, Peng Gao, Hongsheng Li, 12 Aug 2025, TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation, https://arxiv.org/abs/2503.07050
  • Yanlai Yang and Mengye Ren, 11 Aug 2025, Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos, https://arxiv.org/abs/2501.12254
  • Yue Yao, Zhen Xu, Youzhu Liu, Kunyuan Ma, Yuxiu Lin, Mohan Jiang, 13 Aug 2025, Integrating Feature Attention and Temporal Modeling for Collaborative Financial Risk Assessment, https://arxiv.org/abs/2508.09399
  • Faruk Alpay, Bugra Kilictas, Hamdi Alakkad, 13 Aug 2025, Temporal Anchoring in Deepening Embedding Spaces: Event-Indexed Projections, Drift, Convergence, and an Internal Computational Architecture, https://arxiv.org/abs/2508.09693
  • Wouter M. Kouw, 13 Aug 2025, Bayesian autoregression to optimize temporal Mat\'ern kernel Gaussian process hyperparameters, https://arxiv.org/abs/2508.09792
  • Jihang Wang, Dongcheng Zhao, Ruolin Chen, Qian Zhang, Yi Zeng, 15 Aug 2025, Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble, https://arxiv.org/abs/2508.11279
  • Changhong Jing, Yan Liu, Shuqiang Wang, Bruce X.B. Yu, Gong Chen, Zhejing Hu, Zhi Zhang, Yanyan Shen, 15 Aug 2025, PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding, https://arxiv.org/abs/2508.11357
  • Ahmad Mousavi, Yeganeh Abdollahinejad, Roberto Corizzo, Nathalie Japkowicz, and Zois Boukouvalas, 15 Aug 2025, E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection, https://arxiv.org/abs/2508.11197
  • Rahmat K. Adesunkanmi, Ashfaq Khokhar, Goce Trajcevski, Sohail Murad, 17 Aug 2025, Root Cause Analysis of Hydrogen Bond Separation in Spatio-Temporal Molecular Dynamics using Causal Models, https://arxiv.org/abs/2508.12500
  • Xiangxiang Cui, Min Zhao, Dongmei Zhi, Shile Qi, Vince D Calhoun, Jing Sui, 15 Aug 2025, BRIEF: BRain-Inspired network connection search with Extensive temporal feature Fusion enhances disease classification, https://arxiv.org/abs/2508.11732
  • Sishun Liu, Ke Deng, Xiuzhen Zhang, Yan Wang, 16 Aug 2025, Learning Marked Temporal Point Process Explanations based on Counterfactual and Factual Reasoning, https://arxiv.org/abs/2508.11943
  • Haolong Chen, Liang Zhang, Zhengyuan Xin, Guangxu Zhu, 17 Aug 2025, STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction, https://arxiv.org/abs/2508.12247
  • Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh, 18 Aug 2025, TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML, https://arxiv.org/abs/2508.12905
  • Alicja Ziarko, Michal Bortkiewicz, Michal Zawalski, Benjamin Eysenbach and Piotr Milos, 18 Aug 2025, Contrastive Representations for Temporal Reasoning, https://arxiv.org/abs/2508.13113
  • Yueyang Liu, Lance Kennedy, Ruochen Kong, Joon-Seok Kim, Andreas Z\"ufle, 18 Aug 2025, Training Machine Learning Models on Human Spatio-temporal Mobility Data: An Experimental Study [Experiment Paper], https://arxiv.org/abs/2508.13135
  • Friedhelm Hamann, Emil Mededovic, Fabian G\"ulhan, Yuli Wu, Johannes Stegmaier, Jing He, Yiqing Wang, Kexin Zhang, Lingling Li, Licheng Jiao, Mengru Ma, Hongxiang Huang, Yuhao Yan, Hongwei Ren, Xiaopeng Lin, Yulong Huang, Bojun Cheng, Se Hyun Lee, Gyu Sung Ham, Kanghan Oh, Gi Hyun Lim, Boxuan Yang, Bowen Du, Guillermo Gallego, 18 Aug 2025, SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop, https://arxiv.org/abs/2508.12813
  • Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr, 18 Aug 2025, An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models, https://arxiv.org/abs/2404.15518
  • Zhiyuan Zheng, Jianpeng Qi, Jiantao Li, Guoqing Chao, Junyu Dong, Yanwei Yu, 18 Aug 2025, Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs, https://arxiv.org/abs/2504.15979
  • Jiayu Fang, Zhiqi Shao, S T Boris Choy, Junbin Gao, 19 Aug 2025, STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting, https://arxiv.org/abs/2508.13433
  • Su Chen, Xiaohua Qi, Xixun Lin, Yanmin Shang, Xiaolin Xu and Yangxi Li, 17 Aug 2025, Deep Graph Neural Point Process For Learning Temporal Interactive Networks, https://arxiv.org/abs/2508.13219
  • Tinh-Anh Nguyen-Nhu, Triet Dao Hoang Minh, Dat To-Thanh, Phuc Le-Gia, Tuan Vo-Lan, Tien-Huy Nguyen, 19 Aug 2025, STER-VLM: Spatio-Temporal With Enhanced Reference Vision-Language Models, https://arxiv.org/abs/2508.13470
  • Zongyuan Huang, Weipeng Wang, Shaoyu Huang, Marta C. Gonzalez, Yaohui Jin, Yanyan Xu, 19 Aug 2025, Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction, https://arxiv.org/abs/2501.06561
  • Qianang Zhou, Junhui Hou, Meiyi Yang, Yongjian Deng, Youfu Li, Junlin Xiong, 19 Aug 2025, Spatially-guided Temporal Aggregation for Robust Event-RGB Optical Flow Estimation, https://arxiv.org/abs/2501.00838
  • Songyu Ke and Chenyu Wu and Yuxuan Liang and Xiuwen Yi and Yanping Sun and Junbo Zhang and Yu Zheng, 13 Aug 2025, GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values, https://arxiv.org/abs/2508.14083
  • Donghwa Kang, Doohyun Kim, Sang-Ki Ko, Jinkyu Lee, Brent ByungHoon Kang, Hyeongboo Baek, 19 Aug 2025, STAS: Spatio-Temporal Adaptive Computation Time for Spiking Transformers, https://arxiv.org/abs/2508.14138
  • Lian Lian, Yilin Li, Song Han, Renzi Meng, Sibo Wang, Ming Wang, 20 Aug 2025, Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services, https://arxiv.org/abs/2508.14503
  • Jiafeng Xiong and Rizos Sakellariou, 20 Aug 2025, Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning, https://arxiv.org/abs/2508.14859
  • Anushka A. Kore, Frank G. te Nijenhuis, Matthijs van der Sluijs, Wim van Zwam, Charles Majoie, Geert Lycklama \`a Nijeholt, Danny Ruijters, Frans Vos, Sandra Cornelissen, Ruisheng Su, Theo van Walsum, 19 Aug 2025, OccluNet: Spatio-Temporal Deep Learning for Occlusion Detection on DSA, https://arxiv.org/abs/2508.14286
  • Peiming Li, Ziyi Wang, Yulin Yuan, Hong Liu, Xiangming Meng, Junsong Yuan, Mengyuan Liu, 20 Aug 2025, UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling, https://arxiv.org/abs/2508.14604
  • Yutian Liu, Zhengyi Yang, Jiancan Wu, Xiang Wang, 20 Aug 2025, Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning, https://arxiv.org/abs/2507.03047
  • Jiacheng Hu, Bo Zhang, Ting Xu, Haifeng Yang, Min Gao, 20 Aug 2025, Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction, https://arxiv.org/abs/2508.14942
  • Haodi Zhong, Liuxin Zou, Di Wang, Bo Wang, Zhenxing Niu, Quan Wang, 21 Aug 2025, EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction, https://arxiv.org/abs/2508.15378
  • H. I. Nurdin and C. A. Nijhuis, 21 Aug 2025, A Solvable Molecular Switch Model for Stable Temporal Information Processing, https://arxiv.org/abs/2508.15451
  • Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang, 21 Aug 2025, Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models, https://arxiv.org/abs/2410.03290
  • Jihua Huang, Yi Yao and Ajay Divakaran, 21 Aug 2025, Transforming Causality: Transformer-Based Temporal Causal Discovery with Prior Knowledge Integration, https://arxiv.org/abs/2508.15928
  • Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu, 22 Aug 2025, STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach, https://arxiv.org/abs/2508.16161
  • Nadia Asif and Zhiqing Hong and Shaogang Ren and Xiaonan Zhang and Xiaojun Shang and Yukun Yuan, 22 Aug 2025, MuST2-Learn: Multi-view Spatial-Temporal-Type Learning for Heterogeneous Municipal Service Time Estimation, https://arxiv.org/abs/2508.16503
  • Shunsuke Iwashita, Ning Ding, Keisuke Fujii, 25 Aug 2025, Evaluating Movement Initiation Timing in Ultimate Frisbee via Temporal Counterfactuals, https://arxiv.org/abs/2508.17611
  • Bangchao Deng, Lianhua Ji, Chunhua Chen, Xin Jing, Ling Ding, Bingqing QU, Pengyang Wang, Dingqi Yang, 14 Aug 2025, STRelay: A Universal Spatio-Temporal Relaying Framework for Location Prediction with Future Spatiotemporal Contexts, https://arxiv.org/abs/2508.16620
  • Weilin Ruan, Xilin Dang, Ziyu Zhou, Sisuo Lyu, Yuxuan Liang, 14 Aug 2025, A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction, https://arxiv.org/abs/2508.16623
  • Zhuding Liang, Jianxun Cui, Qingshuang Zeng, Feng Liu, Nenad Filipovic, Tijana Geroski, 21 Aug 2025, STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting, https://arxiv.org/abs/2508.16685
  • Bicheng Wang and Junping Wang and Yibo Xue, 22 Aug 2025, Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience, https://arxiv.org/abs/2508.16836
  • YongKyung Oh, Dong-Young Lim, Sungil Kim, Alex Bui, 24 Aug 2025, TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification, https://arxiv.org/abs/2508.17519
  • Hoyoung Lee, Wonbin Ahn, Suhwan Park, Jaehoon Lee, Minjae Kim, Sungdong Yoo, Taeyoon Lim, Woohyung Lim, Yongjae Lee, 23 Aug 2025, THEME : Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics, https://arxiv.org/abs/2508.16936
  • Ziyao Shangguan, Chuhan Li, Yuxuan Ding, Yanan Zheng, Yilun Zhao, Tesca Fitzgerald, Arman Cohan, 25 Aug 2025, TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models, https://arxiv.org/abs/2410.23266
  • Xiuyuan Cheng, Zheng Dong, Yao Xie, 22 Aug 2025, Deep spatio-temporal point processes: Advances and new directions, https://arxiv.org/abs/2504.06364
  • Aarush Kumbhakern, Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das, 4 Sep 2025, Towards an Action-Centric Ontology for Cooking Procedures Using Temporal Graphs, https://arxiv.org/abs/2509.04159
  • Yin Huang, Yongqi Dong, Youhua Tang, Li Li, 4 Sep 2025, Parking Availability Prediction via Fusing Multi-Source Data with A Self-Supervised Learning Enhanced Spatio-Temporal Inverted Transformer, https://arxiv.org/abs/2509.04362
  • Zhaoyan Gong, Juan Li, Zhiqiang Liu, Lei Liang, Huajun Chen, Wen Zhang, 4 Sep 2025, RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models, https://arxiv.org/abs/2509.03995
  • Brett Daley, Prabhat Nagarajan, Martha White, Marlos C. Machado, 4 Sep 2025, An Analysis of Action-Value Temporal-Difference Methods That Learn State Values, https://arxiv.org/abs/2507.09523
  • Zacharia A. Rudge, Dominik Dold, Moritz Fieback, Dario Izzo, Said Hamdioui, 2 Sep 2025, Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Temporal Averaging and SIRENs, https://arxiv.org/abs/2509.04506
  • Konstantinos Drossos and Mikko Heikkinen and Paschalis Tsiaflakis, 5 Sep 2025, Lightweight DNN for Full-Band Speech Denoising on Mobile Devices: Exploiting Long and Short Temporal Patterns, https://arxiv.org/abs/2509.05079
  • Mahishanka Withanachchi, 23 Aug 2025, Learning Spatio-Temporal Dynamics via Operator-Valued RKHS and Kernel Koopman Methods, https://arxiv.org/abs/2508.18307
  • Yunyang Cao, Juekai Lin, Wenhao Li, Bo Jin, 26 Aug 2025, MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes, https://arxiv.org/abs/2508.18873
  • Yao Wu, 26 Aug 2025, HierCVAE: Hierarchical Attention-Driven Conditional Variational Autoencoders for Multi-Scale Temporal Modeling, https://arxiv.org/abs/2508.18922
  • Hudson de Martim, 26 Aug 2025, An Ontology-Driven Graph RAG for Legal Norms: A Hierarchical, Temporal, and Deterministic Approach, https://arxiv.org/abs/2505.00039
  • Yongbin Lee, Ki H. Chon, 26 Aug 2025, Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture, https://arxiv.org/abs/2508.19361
  • Haruki Yonekura, Ren Ozeki, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi, 27 Aug 2025, MobText-SISA: Efficient Machine Unlearning for Mobility Logs with Spatio-Temporal and Natural-Language Data, https://arxiv.org/abs/2508.19554
  • Chenghao Liu, Jiachen Zhang, Chengxuan Li, Zhimu Zhou, Shixin Wu, Songfang Huang and Huiling Duan, 15 Aug 2025, TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models, https://arxiv.org/abs/2508.19257
  • Amirhossein Sohrabbeig, Omid Ardakanian, and Petr Musilek, 26 Aug 2025, Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis, https://arxiv.org/abs/2505.22474
  • Zeyue Zhang, Lin Song, Erkang Bao, Xiaoling Lv, Xinyue Wang, 28 Aug 2025, ATM-GAD: Adaptive Temporal Motif Graph Anomaly Detection for Financial Transaction Networks, https://arxiv.org/abs/2508.20829
  • Chengjun Zhang, Yuhao Zhang, Jie Yang and Mohamad Sawan, 28 Aug 2025, Ultra-Low-Latency Spiking Neural Networks with Temporal-Dependent Integrate-and-Fire Neuron Model for Objects Detection, https://arxiv.org/abs/2508.20392
  • Yi Jiang, Malyaban Bal, Brian Matejek, Susmit Jha, Adam Cobb, Abhronil Sengupta, 23 Aug 2025, Spatio-Temporal Pruning for Compressed Spiking Large Language Models, https://arxiv.org/abs/2508.20122
  • Yunwoo Kim, Junhyuk Hwang, 29 Aug 2025, Predicting Social Media Engagement from Emotional and Temporal Features, https://arxiv.org/abs/2508.21650
  • Aditya Makineni, Baocheng Geng, Qing Tian, 28 Aug 2025, Full-Frequency Temporal Patching and Structured Masking for Enhanced Audio Classification, https://arxiv.org/abs/2508.21243
  • Shanshan Song, Hui Tang, Honglong Yang, Xiaomeng Li, 29 Aug 2025, DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation, https://arxiv.org/abs/2505.03401
  • Zifeng Ding, Shenyang Huang, Zeyu Cao, Emma Kondrup, Zachary Yang, Xingyue Huang, Yuan Sui, Zhangdie Yuan, Yuqicheng Zhu, Xianglong Hu, Yuan He, Farimah Poursafaei, Michael Bronstein, Andreas Vlachos, 31 Aug 2025, Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning, https://arxiv.org/abs/2509.00975
  • Giacomo Acciarini and Simone Mestici and Halil Kelebek and Linnea Wolniewicz and Michael Vergalla and Madhulika Guhathakurta and Umaa Rebbapragada and Bala Poduval and At{\i}l{\i}m G\"une\c{s} Baydin and Frank Soboczenski, 30 Aug 2025, Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers, https://arxiv.org/abs/2509.00631
  • Mengjie Zhao and Olga Fink, 30 Aug 2025, Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models, https://arxiv.org/abs/2509.00639
  • Binqing Wu, Jianlong Huang, Zongjiang Shang, Ling Chen, 2 Sep 2025, ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting, https://arxiv.org/abs/2509.02217
  • Jinzhou Tang, Jusheng zhang, Sidi Liu, Waikit Xiu, Qinhan Lv, Xiying Li, 29 Aug 2025, Beyond Pixels: Introducing Geometric-Semantic World Priors for Video-based Embodied Models via Spatio-temporal Alignment, https://arxiv.org/abs/2509.00210
  • Zhen Chen, Xingjian Luo, Kun Yuan, Jinlin Wu, Danny T.M. Chan, Nassir Navab, Hongbin Liu, Zhen Lei, Jiebo Luo, 30 Aug 2025, SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding, https://arxiv.org/abs/2509.00357
  • Junxiang Liu and Junming Lin and Jiangtong Li and Jie Li, 1 Sep 2025, DynaMind: Reconstructing Dynamic Visual Scenes from EEG by Aligning Temporal Dynamics and Multimodal Semantics to Guided Diffusion, https://arxiv.org/abs/2509.01177
  • James Amarel, Nicolas Hengartner, Robyn Miller, Kamaljeet Singh, Siddharth Mansingh, Arvind Mohan, Benjamin Migliori, Emily Casleton, Alexei Skurikhin, Earl Lawrence, Gerd J. Kunde, 18 Aug 2025, Generalization vs. Memorization in Autoregressive Deep Learning: Or, Examining Temporal Decay of Gradient Coherence, https://arxiv.org/abs/2509.00024
  • Jiawei Cao, Jie Ouyang, Zhaomeng Zhou, Mingyue Cheng, Yupeng Li, Jiaxian Yan, Qi Liu, 1 Sep 2025, Re3: Learning to Balance Relevance & Recency for Temporal Information Retrieval, https://arxiv.org/abs/2509.01306
  • Yves Stebler, Thomas M. Sutter, Ece Ozkan, Julia E. Vogt, 1 Sep 2025, Temporal Representation Learning for Real-Time Ultrasound Analysis, https://arxiv.org/abs/2509.01433
  • Chengyuan Ma, Peng Jia, Hongyue Guo, and Wenming Yang, 2 Sep 2025, ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection, https://arxiv.org/abs/2509.02471
  • Rui Li, Xiaohan Wang, Yuhui Zhang, Orr Zohar, Zeyu Wang, Serena Yeung-Levy, 1 Sep 2025, Temporal Preference Optimization for Long-Form Video Understanding, https://arxiv.org/abs/2501.13919
  • Minjung Park, Gyuyeon Na, Soyoun Kim, Sunyoung Moon, HyeonJeong Cha, Sangmi Chai, 3 Sep 2025, HyPV-LEAD: Proactive Early-Warning of Cryptocurrency Anomalies through Data-Driven Structural-Temporal Modeling, https://arxiv.org/abs/2509.03260
  • Kaustuv Mukherji, Jaikrishna Manojkumar Patil, Dyuman Aditya, Paulo Shakarian, Devendra Parkar, Lahari Pokala, Clark Dorman, Gerardo I. Simari, 3 Sep 2025, Lattice Annotated Temporal (LAT) Logic for Non-Markovian Reasoning, https://arxiv.org/abs/2509.02958
  • Huaicheng Zhang, Ruoxin Wang, Chenlian Zhou, Jiguang Shi, Yue Ge, Zhoutong Li, Sheng Chang, Hao Wang, Jin He and Qijun Huang, 3 Sep 2025, S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG, https://arxiv.org/abs/2509.03066
  • Mattia Litrico and Francesco Guarnera and Mario Valerio Giuffrida and Daniele Rav\`i and Sebastiano Battiato, 3 Sep 2025, Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal Regularisation, https://arxiv.org/abs/2509.03141
  • Joel Jaskari, Chandreyee Roy, Fumiko Ogushi, Mikko Saukkoriipi, Jaakko Sahlsten, Kimmo Kaski, 3 Sep 2025, Temporal social network modeling of mobile connectivity data with graph neural networks, https://arxiv.org/abs/2509.03319
  • Naoufal El Bekri, Lucas Drumetz, Franck Vermet, 3 Sep 2025, FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing Flows and the Feynman-Kac Formula, https://arxiv.org/abs/2503.11427
  • Wei Chen, Yuqian Wu, Yuanshao Zhu, Xixuan Hao, Shiyu Wang, Yuxuan Liang, 6 Sep 2025, Select, then Balance: A Plug-and-Play Framework for Exogenous-Aware Spatio-Temporal Forecasting, https://arxiv.org/abs/2509.05779
  • Shaoqi Wei, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Ruijun Ma, Tianming Ni, Xiaoqing Wen and Hiroshi Takahashi, 8 Sep 2025, A Spatio-Temporal Graph Neural Networks Approach for Predicting Silent Data Corruption inducing Circuit-Level Faults, https://arxiv.org/abs/2509.06289
  • Guanjie Cheng, Boyi Li, Peihan Wu, Feiyi Chen, Xinkui Zhao, Mengying Zhu, Shuiguang Deng, 8 Sep 2025, DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT, https://arxiv.org/abs/2509.06483
  • Henry Graf\'e, Hugo Van hamme, 5 Sep 2025, Graph Connectionist Temporal Classification for Phoneme Recognition, https://arxiv.org/abs/2509.05399
  • Aswini Kumar Patra, 8 Sep 2025, Improved Classification of Nitrogen Stress Severity in Plants Under Combined Stress Conditions Using Spatio-Temporal Deep Learning Framework, https://arxiv.org/abs/2509.06625
  • Jingyu Li, Tiehua Zhang, Jinze Wang, Yi Zhang, Yuhuan Li, Yifan Zhao, Zhishu Shen, Libing Wu, Jiannan Liu, 6 Sep 2025, MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification for Health Management with Spatial-Temporal Hypergraph Enhanced Meta-Learning, https://arxiv.org/abs/2505.17142
  • Md. Kamrul Hasan, Guang Yang, Choon Hwai Yap, 6 Sep 2025, Motion-enhanced Cardiac Anatomy Segmentation via an Insertable Temporal Attention Module, https://arxiv.org/abs/2501.14929
  • Haruki Yokota, Koki Yamada, Yuichi Tanaka, Antonio Ortega, 8 Sep 2025, Time-Varying Graph Learning with Constraints on Graph Temporal Variation, https://arxiv.org/abs/2001.03346
  • Weichen Wu, Yuting Wei, Alessandro Rinaldo, 6 Sep 2025, Uncertainty quantification for Markov chain induced martingales with application to temporal difference learning, https://arxiv.org/abs/2502.13822
  • Xueyi Wang and Elisabeth Wilhelm, 28 Aug 2025, Individualized and Interpretable Sleep Forecasting via a Two-Stage Adaptive Spatial-Temporal Model, https://arxiv.org/abs/2509.06974
  • Yuxuan Bai, Yuxuan Sun, Tan Chen, Wei Chen, Sheng Zhou, Zhisheng Niu, 9 Sep 2025, FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning, https://arxiv.org/abs/2509.07342
  • Seyd Teymoor Seydi, 9 Sep 2025, Deep Learning-Based Burned Area Mapping Using Bi-Temporal Siamese Networks and AlphaEarth Foundation Datasets, https://arxiv.org/abs/2509.07852
  • Ibne Farabi Shihab, Sanjeda Akter and Anuj Sharma, 9 Sep 2025, Enhancing Traffic Incident Response through Sub-Second Temporal Localization with HybridMamba, https://arxiv.org/abs/2504.03235
  • Ali Mazyaki, Mohammad Naghizadeh, Samaneh Ranjkhah Zonouzaghi, Hossein Setareh, 5 Sep 2025, Temporal Preferences in Language Models for Long-Horizon Assistance, https://arxiv.org/abs/2509.09704
  • Mingyu Kang and Duxin Chen and Ziyuan Pu and Jianxi Gao and Wenwu Yu, 12 Sep 2025, Spatio-Temporal Graphical Counterfactuals: An Overview, https://arxiv.org/abs/2407.01875
  • Hong Liu and Kerui Cen and Yanxing Chen and Zige Liu and Dong Chen and Zifeng Yang and Chitin Hon, 12 Sep 2025, MAESTRO: Multi-modal Adaptive Estimation for Temporal Respiratory Disease Outbreak, https://arxiv.org/abs/2509.08578
  • Jan V\'avra (1 and 2), Bettina Gr\"un (1) and Paul Hofmarcher (2) ((1) Vienna University of Economics and Business, (2) Paris-Lodron University of Salzburg), 12 Sep 2025, Evolving Voices Based on Temporal Poisson Factorisation, https://arxiv.org/abs/2410.18486
  • Julia Gastinger, Christian Meilicke, Heiner Stuckenschmidt, 11 Sep 2025, CountTRuCoLa: Rule Confidence Learning for Temporal Knowledge Graph Forecasting, https://arxiv.org/abs/2509.09474
  • Daria Laslo, Efthymios Georgiou, Marius George Linguraru, Andreas Rauschecker, Sabine Muller, Catherine R. Jutzeler, Sarah Bruningk, 11 Sep 2025, Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor Growth, https://arxiv.org/abs/2509.09610
  • Shengsheng Lin, Haojun Chen, Haijie Wu, Chunyun Qiu, Weiwei Lin, 11 Sep 2025, Temporal Query Network for Efficient Multivariate Time Series Forecasting, https://arxiv.org/abs/2505.12917
  • Junhong Lin, Song Wang, Xiaojie Guo, Julian Shun, Yada Zhu, 18 Sep 2025, Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs, https://arxiv.org/abs/2509.15464
  • M. Giselle Fern\'andez-Godino, Meir H. Shachar, Kevin Korner, Jonathan L. Belof, Mukul Kumar, Jonathan Lind, and William J. Schill, 19 Sep 2025, Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media, https://arxiv.org/abs/2509.16139
  • Dylan L\'eveill\'e (Carleton University), 17 Sep 2025, Generating Plans for Belief-Desire-Intention (BDI) Agents Using Alternating-Time Temporal Logic (ATL), https://arxiv.org/abs/2509.15238
  • Mulugeta Weldezgina Asres, Christian Walter Omlin, Long Wang, David Yu, Pavel Parygin, Jay Dittmann, Georgia Karapostoli, Markus Seidel, Rosamaria Venditti, Luka Lambrecht, Emanuele Usai, Muhammad Ahmad, Javier Fernandez Menendez, Kaori Maeshima and the CMS-HCAL Collaboration, 19 Sep 2025, Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter, https://arxiv.org/abs/2311.04190
  • Qi Xiong, Kai Tang, Minbo Ma, Ji Zhang, Jie Xu, Tianrui Li, 19 Sep 2025, Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting, https://arxiv.org/abs/2406.04777
  • Da Long, Shandian Zhe, Samuel Williams, Leonid Oliker, Zhe Bai, 18 Sep 2025, StFT: Spatio-temporal Fourier Transformer for Long-term Dynamics Prediction, https://arxiv.org/abs/2503.11899
  • Yubo Li, Xinyu Yao, Rema Padman, 19 Sep 2025, No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism, https://arxiv.org/abs/2503.19285
  • Michael Somma, 19 Sep 2025, Hybrid Temporal Differential Consistency Autoencoder for Efficient and Sustainable Anomaly Detection in Cyber-Physical Systems, https://arxiv.org/abs/2504.06320
  • Hyeonseok Jin, Geonmin Kim, Kyungbaek Kim, 19 Sep 2025, Deformable Dynamic Convolution for Accurate yet Efficient Spatio-Temporal Traffic Prediction, https://arxiv.org/abs/2507.11550
  • Jinmeiyang Wang, Jing Dong, Li Zhou, 13 Sep 2025, Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning, https://arxiv.org/abs/2509.12269
  • Konstantinos Vasili, Zachery T. Dahm, Stylianos Chatzidakis, 15 Sep 2025, Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder, https://arxiv.org/abs/2509.12372
  • Pratik Nag, 16 Sep 2025, Spatio-temporal DeepKriging in PyTorch: A Supplementary Application to Precipitation Data for Interpolation and Probabilistic Forecasting, https://arxiv.org/abs/2509.12708
  • Francis Ndikum Nji, Vandana Janaja, Jianwu Wang, 16 Sep 2025, B-TGAT: A Bi-directional Temporal Graph Attention Transformer for Clustering Multivariate Spatiotemporal Data, https://arxiv.org/abs/2509.13202
  • Susanta Mitra, 15 Sep 2025, Agentic Temporal Graph of Reasoning with Multimodal Language Models: A Potential AI Aid to Healthcare, https://arxiv.org/abs/2509.11944
  • Amirhossein Ghaffari, Huong Nguyen, Lauri Lov\'en, Ekaterina Gilman, 4 Sep 2025, STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions, https://arxiv.org/abs/2509.10528
  • Yuan Gao, Xuelong Wang, Zhenguo Dong and Yong Zhang, 15 Sep 2025, Dynamic Adaptive Parsing of Temporal and Cross-Variable Patterns for Network State Classification, https://arxiv.org/abs/2509.11601
  • Ocheme Anthony Ekle and William Eberle, 15 Sep 2025, Adaptive-GraphSketch: Real-Time Edge Anomaly Detection via Multi-Layer Tensor Sketching and Temporal Decay, https://arxiv.org/abs/2509.11633
  • Arash Peik, Mohammad Ali Zare Chahooki, Amin Milani Fard, Mehdi Agha Sarram, 6 Sep 2025, Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction, https://arxiv.org/abs/2509.10542
  • Mika Sipil\"a, Klaus Nordhausen and Sara Taskinen, 15 Sep 2025, Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation, https://arxiv.org/abs/2509.11962
  • Shrey Ganatra, Spandan Anaokar, Pushpak Bhattacharyya, 15 Sep 2025, Timing Matters: Enhancing User Experience through Temporal Prediction in Smart Homes, https://arxiv.org/abs/2411.18719
  • Hyeju Shin, Vincent-Daniel, Kyudan Jung, Seongwon Yun, 13 Sep 2025, Fast Fourier Transform-Based Spectral and Temporal Gradient Filtering for Differential Privacy, https://arxiv.org/abs/2505.04468
  • Parv Kapoor, Kazuki Mizuta, Eunsuk Kang, Karen Leung, 15 Sep 2025, STLCG++: A Masking Approach for Differentiable Signal Temporal Logic Specification, https://arxiv.org/abs/2501.04194
  • Padmaksha Roy, Almuatazbellah Boker, Lamine Mili, 18 Sep 2025, Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection, https://arxiv.org/abs/2509.15033
  • Dan Zhang, Min Cai, Jonathan Li, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang, 18 Sep 2025, TDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference, https://arxiv.org/abs/2509.15110
  • Feng Ding, Haisheng Fu, Soroush Oraki, Jie Liang, 18 Sep 2025, LSTC-MDA: A Unified Framework for Long-Short Term Temporal Convolution and Mixed Data Augmentation in Skeleton-Based Action Recognition, https://arxiv.org/abs/2509.14619
  • Liangjin Liu, Haoyang Zheng, Zhengzhong Zhu, Pei Zhou, 18 Sep 2025, Skeleton-based sign language recognition using a dual-stream spatio-temporal dynamic graph convolutional network, https://arxiv.org/abs/2509.08661
  • Ali Amini, Mohammad Alijanpour, Behnam Latifi, and Ali Motie Nasrabadi, 10 Sep 2025, ADHDeepNet From Raw EEG to Diagnosis: Improving ADHD Diagnosis through Temporal-Spatial Processing, Adaptive Attention Mechanisms, and Explainability in Raw EEG Signals, https://arxiv.org/abs/2509.08779
  • Hyotaek Jeon, Hyunwook Lee, Juwon Kim and Sungahn Ko, 17 Sep 2025, ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting, https://arxiv.org/abs/2509.13753
  • Ivana Kesi\'c, Alja\v{z} Blatnik, Carolina Fortuna, Bla\v{z} Bertalani\v{c}, 17 Sep 2025, Deep Temporal Graph Networks for Real-Time Correction of GNSS Jamming-Induced Deviations, https://arxiv.org/abs/2509.14000
  • Jun Wang, Jiaming Tong, Kaiyuan Tan, Yevgeniy Vorobeychik, Yiannis Kantaros, 17 Sep 2025, Conformal Temporal Logic Planning using Large Language Models, https://arxiv.org/abs/2309.10092
  • Xinran Zheng, Shuo Yang, Edith C.H. Ngai, Suman Jana, Lorenzo Cavallaro, 17 Sep 2025, Learning Temporal Invariance in Android Malware Detectors, https://arxiv.org/abs/2502.05098
  • Junwon Lee, Jaekwon Im, Dabin Kim, Juhan Nam, 17 Sep 2025, Video-Foley: Two-Stage Video-To-Sound Generation via Temporal Event Condition For Foley Sound, https://arxiv.org/abs/2408.11915
  • Antonio \'Alvarez-L\'opez and Marcos Matabuena, 17 Sep 2025, Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data, https://arxiv.org/abs/2505.08698
  • Koyena Chowdhury, Paramita Koley, Abhijnan Chakraborty, and Saptarshi Ghosh, 26 Sep 2025, RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction, https://arxiv.org/abs/2510.01262
  • Thomas Gravier, Thomas Boyer, Auguste Genovesio, 2 Oct 2025, Multi-marginal temporal Schr\"odinger Bridge Matching for video generation from unpaired data, https://arxiv.org/abs/2510.01894
  • Shira Schiber, Ofir Lindenbaum, Idan Schwartz, 2 Oct 2025, TempoControl: Temporal Attention Guidance for Text-to-Video Models, https://arxiv.org/abs/2510.02226
  • Zixuan Xie, Xinyu Liu, Rohan Chandra, Shangtong Zhang, 2 Oct 2025, Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features, https://arxiv.org/abs/2505.21391
  • Tianyang Luo, Xikun Zhang, Dongjin Song, 2 Oct 2025, FTSCommDetector: Discovering Behavioral Communities through Temporal Synchronization, https://arxiv.org/abs/2510.00014
  • Junyi Xie, Jina Kim, Yao-Yi Chiang, Lingyi Zhao, Khurram Shafique, 14 Oct 2025, BeSTAD: Behavior-Aware Spatio-Temporal Anomaly Detection for Human Mobility Data, https://arxiv.org/abs/2510.12076
  • David Berghaus and Patrick Seifner and Kostadin Cvejoski and Ramses J. Sanchez, 14 Oct 2025, On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery, https://arxiv.org/abs/2510.12640
  • Youhao Si, Yuan Liao, Qiushi Han, Yuhang Yang, Rui Dai and Liya Huang, 14 Oct 2025, TFGA-Net: Temporal-Frequency Graph Attention Network for Brain-Controlled Speaker Extraction, https://arxiv.org/abs/2510.12275
  • Sebastian Griesbach, Carlo D'Eramo, 14 Oct 2025, Learning to Explore in Diverse Reward Settings via Temporal-Difference-Error Maximization, https://arxiv.org/abs/2506.13345
  • Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Qi Hu, Yan Li and Chang Liu, 14 Oct 2025, GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection (Preprint), https://arxiv.org/abs/2510.07285
  • Weilin Xin, Chenyu Huang, Peilin Li, Jing Zhong, Jiawei Yao, 1 Oct 2025, UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction, https://arxiv.org/abs/2510.00457
  • Yanbo Xu, Yu Wu, Sungjae Park, Zhizhuo Zhou, Shubham Tulsiani, 1 Oct 2025, Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models, https://arxiv.org/abs/2510.01184
  • Chukwuemeka Ugwu and Oluwafemi Oyeleke, 26 Sep 2025, Temporal-Aware Iterative Speech Model for Dementia Detection, https://arxiv.org/abs/2510.00030
  • Yue Meng, Fei Chen, Chuchu Fan, 30 Sep 2025, TGPO: Temporal Grounded Policy Optimization for Signal Temporal Logic Tasks, https://arxiv.org/abs/2510.00225
  • Anja Adamov, Markus Chardonnet, Florian Krach, Jakob Heiss, Josef Teichmann and Nicholas A. Bokulich, 30 Sep 2025, Revealing the temporal dynamics of antibiotic anomalies in the infant gut microbiome with neural jump ODEs, https://arxiv.org/abs/2510.00087
  • Victor Brabant, Angela Bonifati, R\'emy Cazabet, 1 Oct 2025, Discovering Communities in Continuous-Time Temporal Networks by Optimizing L-Modularity, https://arxiv.org/abs/2510.00741
  • Md Hasan Shahriar, Md Mohaimin Al Barat, Harshavardhan Sundar, Ning Zhang, Naren Ramakrishnan, Y. Thomas Hou, Wenjing Lou, 1 Oct 2025, Temporal Misalignment Attacks against Multimodal Perception in Autonomous Driving, https://arxiv.org/abs/2507.09095
  • Wendong Yao, Binhua Huang and Soumyabrata Dev, 1 Oct 2025, Multi-modal Spatio-Temporal Transformer for High-resolution Land Subsidence Prediction, https://arxiv.org/abs/2509.25393
  • Kuiye Ding and Fanda Fan and Chunyi Hou and Zheya Wang and Lei Wang and Zhengxin Yang and Jianfeng Zhan, 23 Sep 2025, TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding, https://arxiv.org/abs/2509.19406
  • Kevin Garcia, Cassandra Garza, Brooklyn Berry, Yifeng Gao, 24 Sep 2025, Symbol-Temporal Consistency Self-supervised Learning for Robust Time Series Classification, https://arxiv.org/abs/2509.19654
  • Mohsen Nayebi Kerdabadi, William Andrew Byron, Xin Sun, Amirfarrokh Iranitalab, 24 Sep 2025, Spatio-Temporal Directed Graph Learning for Account Takeover Fraud Detection, https://arxiv.org/abs/2509.20339
  • Chang Wang, Ming Zhu, Shahram Latifi, Buddhadeb Dawn, and Shengjie Zhai, 5 Sep 2025, Graph-Based Spatio-temporal Attention and Multi-Scale Fusion for Clinically Interpretable, High-Fidelity Fetal ECG Extraction, https://arxiv.org/abs/2509.19308
  • Shangqing Yuan, Wenshuang Zhai, and Shengwen Guo, 15 Sep 2025, A Spatio-Temporal Feature Fusion EEG Virtual Channel Signal Generation Network and Its Application in Anxiety Assessment, https://arxiv.org/abs/2509.19334
  • Ranga Shaarad Ayyagari, Revanth Raj Eega, Ambedkar Dukkipati, 24 Sep 2025, Markov Decision Processes under External Temporal Processes, https://arxiv.org/abs/2305.16056
  • Yisong Fu, Fei Wang, Zezhi Shao, Boyu Diao, Lin Wu, Zhulin An, Chengqing Yu, Yujie Li, Yongjun Xu, 24 Sep 2025, On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting, https://arxiv.org/abs/2408.09695
  • Xintong Wang, Haihan Nan, Ruidong Li and Huaming Wu, 24 Sep 2025, DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework, https://arxiv.org/abs/2504.03792
  • Siwei Zhang, Yun Xiong, Yateng Tang, Jiarong Xu, Xi Chen, Zehao Gu, Xuezheng Hao, Zian Jia, Jiawei Zhang, 24 Sep 2025, Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models, https://arxiv.org/abs/2503.14411
  • Ahmad Bin Rabiah, Julian McAuley, 24 Sep 2025, GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation, https://arxiv.org/abs/2505.11552
  • Gagan Bhatia, Maxime Peyrard, Wei Zhao, 24 Sep 2025, Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning, https://arxiv.org/abs/2505.16088
  • Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Yupu Zhang, Zhengkun Xiao, Haibo Wang, Shigang Chen, 28 Oct 2025, Spatio-temporal Multivariate Time Series Forecast with Chosen Variables, https://arxiv.org/abs/2510.24027
  • Edward Markai, Sina Molavipour, 28 Oct 2025, Temporal Knowledge Graph Hyperedge Forecasting: Exploring Entity-to-Category Link Prediction, https://arxiv.org/abs/2510.24240
  • Marco S\"alzer, Przemys{\l}aw Andrzej Wa{\l}\k{e}ga, Martin Lange, 28 Oct 2025, The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics, https://arxiv.org/abs/2505.11930
  • Keisuke Kawano, Takuro Kutsuna, Naoki Hayashi, Yasushi Esaki, Hidenori Tanaka, 28 Oct 2025, CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots, https://arxiv.org/abs/2505.17354
  • Yuting Huang, Ziquan Fang, Zhihao Zeng, Lu Chen, Yunjun Gao, 28 Oct 2025, Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach, https://arxiv.org/abs/2505.17637
  • Vahid Jalili, 22 Oct 2025, The Temporal Graph of Bitcoin Transactions, https://arxiv.org/abs/2510.20028
  • Marin Bilo\v{s}, Anderson Schneider, Yuriy Nevmyvaka, 22 Oct 2025, Speculative Sampling for Parametric Temporal Point Processes, https://arxiv.org/abs/2510.20031
  • Qitai Tan, Yiyun Chen, Mo Li, Ruiwen Gu, Yilin Su, Xiao-Ping Zhang, 23 Oct 2025, SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series, https://arxiv.org/abs/2510.20273
  • Yuhang Wang, 23 Oct 2025, InvDec: Inverted Decoder for Multivariate Time Series Forecasting with Separated Temporal and Variate Modeling, https://arxiv.org/abs/2510.20302
  • Sishun Liu, Ke Deng, Xiuzhen Zhang, Yongli Ren, Yan Wang, 23 Oct 2025, Addressing Mark Imbalance in Integration-free Neural Marked Temporal Point Processes, https://arxiv.org/abs/2510.20414
  • Jiahao Meng, Xiangtai Li, Haochen Wang, Yue Tan, Tao Zhang, Lingdong Kong, Yunhai Tong, Anran Wang, Zhiyang Teng, Yujing Wang, Zhuochen Wang, 23 Oct 2025, Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence, https://arxiv.org/abs/2510.20579
  • Minseok Kang, Minhyeok Lee, Minjung Kim, Donghyeong Kim, and Sangyoun Lee, 23 Oct 2025, Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding, https://arxiv.org/abs/2510.20244
  • Luckeciano C. Melo, Alessandro Abate, Yarin Gal, 23 Oct 2025, Temporal-Difference Variational Continual Learning, https://arxiv.org/abs/2410.07812
  • Abdellah Rahmani, Pascal Frossard, 23 Oct 2025, Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises, https://arxiv.org/abs/2506.17065
  • Ioan Hedea, 16 Oct 2025, Algorithms for dynamic scheduling in manufacturing, towards digital factories Improving Deadline Feasibility and Responsiveness via Temporal Networks, https://arxiv.org/abs/2510.16047
  • Mustafa F. Abdelwahed, Alice Toniolo, Joan Espasa, Ian P. Gent, 20 Oct 2025, Diverse Planning with Simulators via Linear Temporal Logic, https://arxiv.org/abs/2510.17418
  • Dongchan Cho, Jiho Han, Keumyeong Kang, Minsang Kim, Honggyu Ryu, Namsoon Jung, 18 Oct 2025, Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection, https://arxiv.org/abs/2510.16511
  • Shihao Ji, Zihui Song, 19 Oct 2025, Xiaoice: Training-Free Video Understanding via Self-Supervised Spatio-Temporal Clustering of Semantic Features, https://arxiv.org/abs/2510.16781
  • Panos Kalnis. Shuo Shang, Christian S. Jensen, 20 Oct 2025, Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models, https://arxiv.org/abs/2510.17301
  • Shengnan Guo, Tonglong Wei, Yiheng Huang, Yan Lin, Zekai Shen, Yujuan Dong, Junliang Lin, Youfang Lin, Huaiyu Wan, 17 Oct 2025, A Survey and Benchmarking of Spatial-Temporal Traffic Data Imputation Models, https://arxiv.org/abs/2412.04733
  • Haoyu He, Haozheng Luo, Yan Chen, Qi R. Wang, 20 Oct 2025, RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility, https://arxiv.org/abs/2509.23115
  • Danyang Li, Yixuan Wang, Matthew Cleaveland, Mingyu Cai, Roberto Tron, 17 Oct 2025, Conformal Prediction for Signal Temporal Logic Inference, https://arxiv.org/abs/2509.25473
  • Shahriar Noroozizadeh, Sayantan Kumar, Jeremy C. Weiss, 18 Oct 2025, Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare, https://arxiv.org/abs/2504.10340
  • David Wang and Mohammad Abdulaziz, 19 Oct 2025, Formally Verified Certification of Unsolvability of Temporal Planning Problems, https://arxiv.org/abs/2510.10189
  • Yassir Lairgi, Ludovic Moncla, Khalid Benabdeslem, R\'emy Cazabet, Pierre Cl\'eau, 26 Oct 2025, ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs, https://arxiv.org/abs/2510.22590
  • Crimson Stambaugh and Rajesh P. N. Rao, 27 Oct 2025, Mixed Density Diffuser: Efficient Planning with Non-uniform Temporal Resolution, https://arxiv.org/abs/2510.23026
  • Micha{\l} Bortkiewicz, W{\l}adys{\l}aw Pa{\l}ucki, Mateusz Ostaszewski, Benjamin Eysenbach, 24 Oct 2025, Is Temporal Difference Learning the Gold Standard for Stitching in RL?, https://arxiv.org/abs/2510.21995
  • Zhongyi Yu, Jianqiu Wu, Zhenghao Wu, Shuhan Zhong, Weifeng Su, Chul-Ho Lee, Weipeng Zhuo, 23 Oct 2025, TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction, https://arxiv.org/abs/2510.23577
  • Mohammad Ali Etemadi Naeen, Hoda Mohammadzade, Saeed Bagheri Shouraki, 24 Oct 2025, Human-Centric Anomaly Detection in Surveillance Videos Using YOLO-World and Spatio-Temporal Deep Learning, https://arxiv.org/abs/2510.22056
  • Anooshka Bajaj, Deven Mahesh Mistry, Sahaj Singh Maini, Yash Aggarwal, Zoran Tiganj, 26 Oct 2025, Beyond Semantics: How Temporal Biases Shape Retrieval in Transformer and State-Space Models, https://arxiv.org/abs/2510.22752
  • Haruki Settai, Naoya Takeishi, and Takehisa Yairi, 26 Oct 2025, A Temporal Difference Method for Stochastic Continuous Dynamics, https://arxiv.org/abs/2505.15544
  • Kelvin J.L. Koa, Yunshan Ma, Yi Xu, Ritchie Ng, Huanhuan Zheng, Tat-Seng Chua, 25 Oct 2025, Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes, https://arxiv.org/abs/2410.17266
  • Dayoung Baik, Jaejun Yoo, 25 Oct 2025, Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction, https://arxiv.org/abs/2501.09049
  • Ruijia Liu, Ancheng Hou, Xiao Yu, Xiang Yin, 26 Oct 2025, Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks, https://arxiv.org/abs/2501.13457
  • Nilava Metya and Ankit Shah and Arunesh Sinha, 24 Oct 2025, Temporal Robustness in Discrete Time Linear Dynamical Systems, https://arxiv.org/abs/2505.02347
  • Yi Wang, Zeyu Xue, Mujie Liu, Tongqin Zhang, Yan Hu, Zhou Zhao, Chenguang Yang and Zhenyu Lu, 27 Oct 2025, Open-Vocabulary Spatio-Temporal Scene Graph for Robot Perception and Teleoperation Planning, https://arxiv.org/abs/2509.23107
  • Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li, 26 Oct 2025, AttentionPredictor: Temporal Patterns Matter for KV Cache Compression, https://arxiv.org/abs/2502.04077
  • Cecilia Di Florio, Huimin Dong, Antonino Rotolo, 15 Oct 2025, A Modal Logic for Temporal and Jurisdictional Classifier Models, https://arxiv.org/abs/2510.13691
  • Muhammad Faraz Ul Abrar, Nicol\`o Michelusi, and Erik G. Larsson, 15 Oct 2025, Time-Varying Optimization for Streaming Data Via Temporal Weighting, https://arxiv.org/abs/2510.13052
  • Md. Joshem Uddin, Soham Changani, Baris Coskunuzer, 15 Oct 2025, T3former: Temporal Graph Classification with Topological Machine Learning, https://arxiv.org/abs/2510.13789
  • Jialong Zhou, Lichao Wang, Xiao Yang, 15 Oct 2025, GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling, https://arxiv.org/abs/2505.19234
  • Jan Corazza, Hadi Partovi Aria, Hyohun Kim, Daniel Neider, Zhe Xu, 14 Oct 2025, Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information, https://arxiv.org/abs/2506.07829
  • Haozhen Zheng, Beitong Tian, Mingyuan Wu, Zhenggang Tang, Klara Nahrstedt, Alex Schwing, 15 Oct 2025, Spatio-Temporal LLM: Reasoning about Environments and Actions, https://arxiv.org/abs/2507.05258
  • Houliang Zhou, Rong Zhou, Yangying Liu, Kanhao Zhao, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He, and Alzheimer's Disease Neuroimaging Initiative, 26 Sep 2025, Uncovering Alzheimer's Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks, https://arxiv.org/abs/2509.21735
  • Sai Varun Kodathala and Rakesh Vunnam, 25 Sep 2025, Temporal vs. Spatial: Comparing DINOv3 and V-JEPA2 Feature Representations for Video Action Analysis, https://arxiv.org/abs/2509.21595
  • Niharika Hegde, Subarnaduti Paul, Lars Joel-Frey, Manuel Brack, Kristian Kersting, Martin Mundt, Patrick Schramowski, 26 Sep 2025, CHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models, https://arxiv.org/abs/2509.22360
  • Zhongbin Guo, Yuhao Wang, Ping Jian, Chengzhi Li, Xinyue Chen, Zhen Yang, Ertai E, 26 Sep 2025, TAMMs: Temporal-Aware Multimodal Model for Satellite Image Change Understanding and Forecasting, https://arxiv.org/abs/2506.18862
  • Cristian Meo, Varun Sarathchandran, Avijit Majhi, Shao Hung, Carlo Saccardi, Ruben Imhoff, Roberto Deidda, Remko Uijlenhoet, Justin Dauwels, 7 Oct 2025, BlockGPT: Spatio-Temporal Modelling of Rainfall via Frame-Level Autoregression, https://arxiv.org/abs/2510.06293
  • Zhipeng Liu and Peibo Duan and Xuan Tang and Baixin Li and Yongsheng Huang and Mingyang Geng and Changsheng Zhang and Bin Zhang and Binwu Wang, 8 Oct 2025, TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting, https://arxiv.org/abs/2510.06680
  • Krishna Sri Ipsit Mantri, Or Feldman, Moshe Eliasof, Chaim Baskin, 8 Oct 2025, Revisiting Node Affinity Prediction in Temporal Graphs, https://arxiv.org/abs/2510.06940
  • Laurent Brisson (IMT Atlantique - DSD), C\'ecile Bothorel (IMT Atlantique - DSD), Nicolas Duminy (IMT Atlantique, IMT Atlantique - DSD), 3 Oct 2025, DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal Networks, https://arxiv.org/abs/2510.06245
  • Avishree Khare, Hideki Okamoto, Bardh Hoxha, Georgios Fainekos, Rajeev Alur, 7 Oct 2025, LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval, https://arxiv.org/abs/2510.06512
  • Xing Han, Hsing-Huan Chung, Joydeep Ghosh, Paul Pu Liang, Suchi Saria, 8 Oct 2025, Guiding Mixture-of-Experts with Temporal Multimodal Interactions, https://arxiv.org/abs/2509.25678
  • David L\"udke, Marten Lienen, Marcel Kollovieh, Stephan G\"unnemann, 8 Oct 2025, Edit-Based Flow Matching for Temporal Point Processes, https://arxiv.org/abs/2510.06050
  • Yolo Yunlong Tang, Daiki Shimada, Jing Bi, Mingqian Feng, Hang Hua, Chenliang Xu, 8 Oct 2025, Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding, https://arxiv.org/abs/2403.16276
  • Hang Hua, Yolo Yunlong Tang, Chenliang Xu, Jiebo Luo, 8 Oct 2025, V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning, https://arxiv.org/abs/2404.12353
  • Nidhi Soley, Vishal M Patel, Casey O Taylor, 2 Oct 2025, AttentiveGRUAE: An Attention-Based GRU Autoencoder for Temporal Clustering and Behavioral Characterization of Depression from Wearable Data, https://arxiv.org/abs/2510.02558
  • Tarun Kumar Biswas, Ashrafun Zannat, Waqas Ishtiaq, Md. Alamgir Hossain, 3 Oct 2025, A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks, https://arxiv.org/abs/2510.02711
  • Rina Foygel Barber, Ashwin Pananjady, 2 Oct 2025, Predictive inference for time series: why is split conformal effective despite temporal dependence?, https://arxiv.org/abs/2510.02471
  • Weichen Wu, Gen Li, Yuting Wei, Alessandro Rinaldo, 3 Oct 2025, Statistical Inference for Temporal Difference Learning with Linear Function Approximation, https://arxiv.org/abs/2410.16106
  • Francis Ndikum Nji, Vandana Janeja, Jianwu Wang, 20 Oct 2025, Attention-Guided Deep Adversarial Temporal Subspace Clustering (A-DATSC) Model for multivariate spatiotemporal data, https://arxiv.org/abs/2510.18004
  • Jay Phil Yoo, Kazuma Kobayashi, Souvik Chakraborty, Syed Bahauddin Alam, 20 Oct 2025, Cross-Domain Long-Term Forecasting: Radiation Dose from Sparse Neutron Sensor via Spatio-Temporal Operator Network, https://arxiv.org/abs/2510.18041
  • Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang, 21 Oct 2025, Towards Identifiability of Hierarchical Temporal Causal Representation Learning, https://arxiv.org/abs/2510.18310
  • Yili Wang, Tairan Huang, Changlong He, Qiutong Li, Jianliang Gao, 21 Oct 2025, Simple and Efficient Heterogeneous Temporal Graph Neural Network, https://arxiv.org/abs/2510.18467
  • Xiang Zhang, Suping Wu, Weibin Qiu, Zhaocheng Jin, Sheng Yang, 21 Oct 2025, Hyperbolic Space Learning Method Leveraging Temporal Motion Priors for Human Mesh Recovery, https://arxiv.org/abs/2510.18256
  • Xue Han, Qian Hu, Yitong Wang, Wenchun Gao, Lianlian Zhang, Qing Wang, Lijun Mei, Chao Deng, Junlan Feng, 21 Oct 2025, Temporal Alignment of LLMs through Cycle Encoding for Long-Range Time Representations, https://arxiv.org/abs/2503.04150
  • Yue Jiang, Jichu Li, Yang Liu, Dingkang Yang, Feng Zhou, Quyu Kong, 21 Oct 2025, DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding, https://arxiv.org/abs/2505.18411
  • Lutz Oettershagen, Othon Michail, 21 Oct 2025, Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity, https://arxiv.org/abs/2510.03899
  • Christoph D\"using and Philipp Cimiano, 25 Sep 2025, Federated Markov Imputation: Privacy-Preserving Temporal Imputation in Multi-Centric ICU Environments, https://arxiv.org/abs/2509.20867
  • Xin Zhang, Qiyu Wei, Yingjie Zhu, Fanyi Wu, Sophia Ananiadou, 24 Sep 2025, THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction, https://arxiv.org/abs/2506.17844
  • Xiaowen Ma, Shuning Ge, Fan Yang, Xiangyu Li, Yun Chen, Mengting Ma, Wei Zhang, Zhipeng Liu, 27 Sep 2025, TimeExpert: Boosting Long Time Series Forecasting with Temporal Mix of Experts, https://arxiv.org/abs/2509.23145
  • Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu, 27 Sep 2025, ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting, https://arxiv.org/abs/2509.23313
  • Xiangchen Song, Jiaqi Sun, Zijian Li, Yujia Zheng, Kun Zhang, 27 Sep 2025, LLM Interpretability with Identifiable Temporal-Instantaneous Representation, https://arxiv.org/abs/2509.23323
  • Divyam Madaan, Sumit Chopra, Kyunghyun Cho, 27 Sep 2025, Temporal Generalization: A Reality Check, https://arxiv.org/abs/2509.23487
  • Xiangfei Qiu, Liu Yang, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Jilin Hu, 28 Sep 2025, Multi-Scale Spatial-Temporal Hypergraph Network with Lead-Lag Structures for Stock Time Series Forecasting, https://arxiv.org/abs/2509.23668
  • Yao Luan, Ni Mu, Yiqin Yang, Bo Xu, Qing-Shan Jia, 28 Sep 2025, STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning, https://arxiv.org/abs/2509.23802
  • Tao Yin and Xiaohong Zhang and Shaochen Fu and Zhibin Zhang and Li Huang and Yiyuan Yang and Kaixiang Yang and Meng Yan, 29 Sep 2025, ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection, https://arxiv.org/abs/2509.24414
  • Sophia N. Wilson, Jens Hesselbjerg Christensen, Raghavendra Selvan, 29 Sep 2025, Trading Carbon for Physics: On the Resource Efficiency of Machine Learning for Spatio-Temporal Forecasting, https://arxiv.org/abs/2509.24517
  • David Berghaus, Patrick Seifner, Kostadin Cvejoski, C\'esar Ojeda, Rams\'es J. S\'anchez, 29 Sep 2025, In-Context Learning of Temporal Point Processes with Foundation Inference Models, https://arxiv.org/abs/2509.24762
  • Lingyu Zhang, Guobin Wu, Yan Wang, Pengfei Xu, Jian Liang, Xuan Song, Yunhai Wang, 29 Aug 2025, Next Point-of-interest (POI) Recommendation Model Based on Multi-modal Spatio-temporal Context Feature Embedding, https://arxiv.org/abs/2509.22661
  • Rohit Chowdhury, Aniruddha Bala, Rohan Jaiswal, Siddharth Roheda, 27 Sep 2025, Vid-Freeze: Protecting Images from Malicious Image-to-Video Generation via Temporal Freezing, https://arxiv.org/abs/2509.23279
  • Md. Saiful Bari Siddiqui and Utsab Saha, 27 Sep 2025, AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Robust Phonocardiogram Classification, https://arxiv.org/abs/2509.23454
  • Gyuhyeon Seo, Jungwoo Yang, Junseong Pyo, Nalim Kim, Jonggeun Lee, Yohan Jo, 29 Sep 2025, SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents, https://arxiv.org/abs/2509.24282
  • Ibrahim Delibasoglu and Fredrik Heintz, 26 Sep 2025, Learning Temporal Saliency for Time Series Forecasting with Cross-Scale Attention, https://arxiv.org/abs/2509.22839
  • Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer, 29 Sep 2025, Double Machine Learning Based Structure Identification from Temporal Data, https://arxiv.org/abs/2311.06012
  • Yan Ru Pei, Olivier Coenen, 27 Sep 2025, PLEIADES: Building Temporal Kernels with Orthogonal Polynomials, https://arxiv.org/abs/2405.12179
  • Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang, 29 Sep 2025, Functional Complexity-adaptive Temporal Tensor Decomposition, https://arxiv.org/abs/2502.06164
  • Longlong Li, Cunquan Qu, Guanghui Wang, 28 Sep 2025, TGT: A Temporal Gating Transformer for Smartphone App Usage Prediction, https://arxiv.org/abs/2502.16957
  • Yang Du, Yuqi Liu, Qin Jin, 28 Sep 2025, Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text Retrieval, https://arxiv.org/abs/2412.19178
  • Kumar Manas, Stefan Zwicklbauer and Adrian Paschke, 27 Sep 2025, CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought Reasoning, https://arxiv.org/abs/2410.16207
  • Jan Corazza, Hadi Partovi Aria, Daniel Neider, Zhe Xu, 17 Oct 2025, Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment, https://arxiv.org/abs/2510.15456
  • Yunyang Cao, Juekai Lin, Hongye Wang, Wenhao Li, Bo Jin, 17 Oct 2025, Interpretable Hybrid-Rule Temporal Point Processes, https://arxiv.org/abs/2504.11344
  • Jiaxiang Chen, Mingxi Zou, Zhuo Wang, Qifan Wang, Dongning Sun, Chi Zhang, Zenglin Xu, 17 Oct 2025, FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making, https://arxiv.org/abs/2506.09080
  • Ankit Bhardwaj, Ananth Balashankar, Lakshminarayanan Subramanian, 4 Oct 2025, FieldFormer: Physics-Informed Transformers for Spatio-Temporal Field Reconstruction from Sparse Sensors, https://arxiv.org/abs/2510.03589
  • Haotian Gao, Zheng Dong, Jiawei Yong, Shintaro Fukushima, Kenjiro Taura, Renhe Jiang, 6 Oct 2025, How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning, https://arxiv.org/abs/2510.04908
  • Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen, 4 Oct 2025, Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation, https://arxiv.org/abs/2409.19635
  • S M Rafiuddin, 9 Oct 2025, Edu-EmotionNet: Cross-Modality Attention Alignment with Temporal Feedback Loops, https://arxiv.org/abs/2510.08802
  • T. Ed Li, Junyu Ren, 9 Oct 2025, Time-Aware Feature Selection: Adaptive Temporal Masking for Stable Sparse Autoencoder Training, https://arxiv.org/abs/2510.08855
  • Haroon Gharwi, Kai Shu, 10 Oct 2025, Variability Aware Recursive Neural Network (VARNN): A Residual-Memory Model for Capturing Temporal Deviation in Sequence Regression Modeling, https://arxiv.org/abs/2510.08944
  • Jose Tupayachi, Mustafa C. Camur, Kevin Heaslip, Xueping Li, 10 Oct 2025, Spatio-Temporal Graph Convolutional Networks for EV Charging Demand Forecasting Using Real-World Multi-Modal Data Integration, https://arxiv.org/abs/2510.09048
  • Vu Duc Anh Nguyen, Ziyue Li, 10 Oct 2025, Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network, https://arxiv.org/abs/2510.09350
  • Abigail J. Hayes, Tobias Schumacher, Markus Strohmaier, 10 Oct 2025, What Do Temporal Graph Learning Models Learn?, https://arxiv.org/abs/2510.09416
  • Disharee Bhowmick, Ranjith Ramanathan, Sathyanarayanan N. Aakur, 10 Oct 2025, STaTS: Structure-Aware Temporal Sequence Summarization via Statistical Window Merging, https://arxiv.org/abs/2510.09593
  • Vishakha Lall, Yisi Liu, 2 Oct 2025, Dynamic Stress Detection: A Study of Temporal Progression Modelling of Stress in Speech, https://arxiv.org/abs/2510.08586
  • Beige Jerry Jin, Leila Wehbe, 10 Oct 2025, Estimating Brain Activity with High Spatial and Temporal Resolution using a Naturalistic MEG-fMRI Encoding Model, https://arxiv.org/abs/2510.09415
  • Harsh Poonia, Felix Divo, Kristian Kersting, Devendra Singh Dhami, 10 Oct 2025, Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data, https://arxiv.org/abs/2502.09981
  • Xiangrui Liu, Minghao Qin, Yan Shu, Zhengyang Liang, Yang Tian, Chen Jason Zhang, Bo Zhao, Zheng Liu, 10 Oct 2025, TimeScope: Towards Task-Oriented Temporal Grounding In Long Videos, https://arxiv.org/abs/2509.26360
  • Zhongyu Ouyang, Qianlong Wen, Chunhui Zhang, Yanfang Ye, Soroush Vosoughi, 10 Oct 2025, What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context, https://arxiv.org/abs/2506.02261
  • Zan Li, Rui Fan, 23 Oct 2025, Crisis-Resilient Portfolio Management via Graph-based Spatio-Temporal Learning, https://arxiv.org/abs/2510.20868
  • Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay, Gabor Karsai, Abhishek Dubey, 24 Oct 2025, ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs, https://arxiv.org/abs/2510.21107
  • Lei Liu, Zhenxin Huang, Hong Wang, huanshuo dong, Haiyang Xin, Hongwei Zhao, Bin Li, 24 Oct 2025, Accelerating Data Generation for Nonlinear temporal PDEs via homologous perturbation in solution space, https://arxiv.org/abs/2510.21592
  • Lucas Maystre, Gabriel Barello, Tudor Berariu, Aleix Cambray, Rares Dolga, Alvaro Ortega Gonzalez, Andrei Nica, David Barber, 24 Oct 2025, Incremental Sequence Classification with Temporal Consistency, https://arxiv.org/abs/2505.16548
  • Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian J. Reich, 23 Oct 2025, STACI: Spatio-Temporal Aleatoric Conformal Inference, https://arxiv.org/abs/2505.21658
  • Martina G. Vilas, Safoora Yousefi, Besmira Nushi, Eric Horvitz, Vidhisha Balachandran, 12 Oct 2025, Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning, https://arxiv.org/abs/2510.10494
  • Wentao Wang, Heqing Zou, Tianze Luo, Rui Huang, Yutian Zhao, Zhuochen Wang, Hansheng Zhang, Chengwei Qin, Yan Wang, Lin Zhao, Huaijian Zhang, 13 Oct 2025, Video-STR: Reinforcing MLLMs in Video Spatio-Temporal Reasoning with Relation Graph, https://arxiv.org/abs/2510.10976
  • Vahidreza Jahanmard, Ali Ramezani-Kebrya, Robinson Hordoir, 10 Oct 2025, Principled Operator Learning in Ocean Dynamics: The Role of Temporal Structure, https://arxiv.org/abs/2510.09792
  • Jeffrey Camlin, 10 Oct 2025, Temporal Lifting as Latent-Space Regularization for Continuous-Time Flow Models in AI Systems, https://arxiv.org/abs/2510.09805
  • Ziyu Zhou and Keyan Hu and Ling Zhang and Zhaohui Xue and Yutian Fang and Yusha Zheng, 11 Oct 2025, Progressive Scale Convolutional Network for Spatio-Temporal Downscaling of Soil Moisture: A Case Study Over the Tibetan Plateau, https://arxiv.org/abs/2510.10244
  • Zhongju Yuan, Geraint Wiggins, Dick Botteldooren, 12 Oct 2025, BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics, https://arxiv.org/abs/2510.10790
  • Javier Garc\'ia-Sig\"uenza, Mirco Nanni, Fara\'on Llorens-Largo, Jos\'e F. Vicent, 12 Oct 2025, PruneGCRN: Minimizing and explaining spatio-temporal problems through node pruning, https://arxiv.org/abs/2510.10803
  • Youngrok Park, Hojung Jung, Sangmin Bae, Se-Young Yun, 13 Oct 2025, Temporal Alignment Guidance: On-Manifold Sampling in Diffusion Models, https://arxiv.org/abs/2510.11057
  • Nicola Albor\'e, Gabriele Di Antonio, Fabrizio Coccetti, Andrea Gabrielli, 13 Oct 2025, Cross-Scale Reservoir Computing for large spatio-temporal forecasting and modeling, https://arxiv.org/abs/2510.11209
  • Di Wu abd Shuaidong Pan, 12 Oct 2025, Dynamic Topic Evolution with Temporal Decay and Attention in Large Language Models, https://arxiv.org/abs/2510.10613
  • Zifeng Ding, Sikuan Yan, Zhangdie Yuan, Xianglong Hu, Fangru Lin, Andreas Vlachos, 13 Oct 2025, TCP: a Benchmark for Temporal Constraint-Based Planning, https://arxiv.org/abs/2505.19927
  • Haoyu Zhang, Wentao Zhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang, 11 Oct 2025, STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization, https://arxiv.org/abs/2505.19547
  • Weizheng Wang, Baijian Yang, Sungeun Hong, Wenhai Sun, and Byung-Cheol Min, 11 Oct 2025, Hyper-STTN: Hypergraph Augmented Spatial-Temporal Transformer Network for Trajectory Prediction, https://arxiv.org/abs/2401.06344
  • Jinling Gan, Churong Liang, Runnan Li, 9 Oct 2025, Prepared mind, fast response: A temporal decoupling framework for adaptive knowledge orchestration in open-domain dialogue, https://arxiv.org/abs/2510.08175
  • Jacob Chmura, Shenyang Huang, Tran Gia Bao Ngo, Ali Parviz, Farimah Poursafaei, Jure Leskovec, Michael Bronstein, Guillaume Rabusseau, Matthias Fey, Reihaneh Rabbany, 8 Oct 2025, TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs, https://arxiv.org/abs/2510.07586
  • Justus Viga, Penelope Mueck, Alexander L\"oser, and Torben Weis, 9 Oct 2025, FuelCast: Benchmarking Tabular and Temporal Models for Ship Fuel Consumption, https://arxiv.org/abs/2510.08217
  • Chengzhi Li, Heyan Huang, Ping Jian, Zhen Yang, Yaning Tian, 9 Oct 2025, Improving Temporal Understanding Logic Consistency in Video-Language Models via Attention Enhancement, https://arxiv.org/abs/2510.08138
  • Javier Meza-Arroyo, Benius Dunn, Weijie Xu, Yu-Chieh Chen, Jen-Sue Chen, and Julia W.P. Hsu, 8 Oct 2025, Bayesian Optimization of Multi-Bit Pulse Encoding in In2O3/Al2O3 Thin-film Transistors for Temporal Data Processing, https://arxiv.org/abs/2510.07421
  • Yubo Yang and Yichen Zhu and Bo Jiang, 15 Sep 2025, AdaSTI: Conditional Diffusion Models with Adaptive Dependency Modeling for Spatio-Temporal Imputation, https://arxiv.org/abs/2509.18144
  • Wenying Luo, Zhiyuan Lin, Wenhao Xu, Minghao Liu, Zhi Li, 23 Sep 2025, GSTM-HMU: Generative Spatio-Temporal Modeling for Human Mobility Understanding, https://arxiv.org/abs/2509.19135
  • Hao Wang, Eiki Murata, Lingfang Zhang, Ayako Sato, So Fukuda, Ziqi Yin, Wentao Hu, Keisuke Nakao, Yusuke Nakamura, Sebastian Zwirner, Yi-Chia Chen, Hiroyuki Otomo, Hiroki Ouchi, and Daisuke Kawahara, 23 Sep 2025, VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction, https://arxiv.org/abs/2509.19002
  • Gabriel Maldonado, Narges Rashvand, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Hamed Tabkhi, 23 Sep 2025, Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps, https://arxiv.org/abs/2509.19252
  • Wendong Yao, Saeed Azadnejad, Binhua Huang, Shane Donohue and Soumyabrata Dev, 17 Sep 2025, A Deep Learning Approach for Spatio-Temporal Forecasting of InSAR Ground Deformation in Eastern Ireland, https://arxiv.org/abs/2509.18176
  • Jiacai Liu, Wenye Li, and Ke Wei, 23 Sep 2025, On the Convergence of Policy Mirror Descent with Temporal Difference Evaluation, https://arxiv.org/abs/2509.18822
  • Anand Gokhale and Vaibhav Srivastava and Francesco Bullo, 23 Sep 2025, LogicGuard: Improving Embodied LLM agents through Temporal Logic based Critics, https://arxiv.org/abs/2507.03293
  • Elias Al Ghazal, Jad Mounayer, Beatriz Moya, Sebastian Rodriguez, Chady Ghnatios, and Francisco Chinesta, 21 Oct 2025, Application of Reduced-Order Models for Temporal Multiscale Representations in the Prediction of Dynamical Systems, https://arxiv.org/abs/2510.18925
  • Zhengbo Zhou, Dooman Arefan, Margarita Zuley, Shandong Wu, 21 Oct 2025, $\Delta$t-Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk Prediction, https://arxiv.org/abs/2510.19003
  • Hai-jie Yuan, Heng Zhang, Fei Yin, 22 Oct 2025, Online Handwritten Signature Verification Based on Temporal-Spatial Graph Attention Transformer, https://arxiv.org/abs/2510.19321
  • Archer Dodson, Ritabrata Dutta, 21 Oct 2025, Signature Kernel Scoring Rule as Spatio-Temporal Diagnostic for Probabilistic Forecasting, https://arxiv.org/abs/2510.19110
  • Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad, Aditya Shankar, Jeroen M. Galjaard, Huijuan Wang, Lydia Y. Chen, 22 Oct 2025, TimeWak: Temporal Chained-Hashing Watermark for Time Series Data, https://arxiv.org/abs/2506.06407
  • Shaoxiong Guo, Tianyi Du, Lijun Li, Yuyao Wu, Jie Li, Jing Shao, 30 Sep 2025, STaR-Attack: A Spatio-Temporal and Narrative Reasoning Attack Framework for Unified Multimodal Understanding and Generation Models, https://arxiv.org/abs/2509.26473
  • Yuyang Liu, Chuan Wen, Yihang Hu, Dinesh Jayaraman, Yang Gao, 30 Sep 2025, TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance, https://arxiv.org/abs/2509.26627
  • Dong Hyun Jeon, Lijing Zhu, Haifang Li, Pengze Li, Jingna Feng, Tiehang Duan, Houbing Herbert Song, Cui Tao, Shuteng Niu, 29 Sep 2025, Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults, https://arxiv.org/abs/2509.25418
  • Sofiane Ennadir, Siavash Golkar, Leopoldo Sarra, 29 Sep 2025, Joint Embeddings Go Temporal, https://arxiv.org/abs/2509.25449
  • Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer, 30 Sep 2025, Scaling Up Temporal Domain Generalization via Temporal Experts Averaging, https://arxiv.org/abs/2509.26045
  • Kai-Wei Chang, En-Pei Hu, Chun-Yi Kuan, Wenze Ren, Wei-Chih Chen, Guan-Ting Lin, Yu Tsao, Shao-Hua Sun, Hung-yi Lee, James Glass, 30 Sep 2025, Game-Time: Evaluating Temporal Dynamics in Spoken Language Models, https://arxiv.org/abs/2509.26388
  • Rui-Yang Zhang, Henry B. Moss, Lachlan Astfalck, Edward Cripps, David S. Leslie, 30 Sep 2025, BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields, https://arxiv.org/abs/2509.26005
  • Sheng Xiang, Chenhao Xu, Dawei Cheng, Xiaoyang Wang, Ying Zhang, 7 Oct 2025, Efficient Learning-based Graph Simulation for Temporal Graphs, https://arxiv.org/abs/2510.05569
  • Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt, 7 Oct 2025, LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language, https://arxiv.org/abs/2510.05972
  • Hwanwoo Kim, Dongkyu Derek Cho, Eric Laber, 7 Oct 2025, Implicit Updates for Average-Reward Temporal Difference Learning, https://arxiv.org/abs/2510.06149
  • Yu Lei, Zixuan Wang, Yiqing Feng, Junru Zhang, Yahui Li, Chu Liu, and Tongyao Wang, 7 Oct 2025, A Generative Approach to Credit Prediction with Learnable Prompts for Multi-scale Temporal Representation Learning, https://arxiv.org/abs/2404.13004
  • Huiliang Zhang, Di Wu, Arnaud Zinflou, and Benoit Boulet, 15 Oct 2025, STEMS: Spatial-Temporal Enhanced Safe Multi-Agent Coordination for Building Energy Management, https://arxiv.org/abs/2510.14112
  • Penglong Zhai, Jie Li, Fanyi Di, Yue Liu, Yifang Yuan, Jie Huang, Peng Wu, Sicong Wang, Mingyang Yin, Tingting Hu, Yao Xu, Xin Li, 16 Oct 2025, Cognitive-Aligned Spatio-Temporal Large Language Models For Next Point-of-Interest Prediction, https://arxiv.org/abs/2510.14702
  • Arnaud Judge, Nicolas Duchateau, Thierry Judge, Roman A. Sandler, Joseph Z. Sokol, Christian Desrosiers, Olivier Bernard, Pierre-Marc Jodoin, 16 Oct 2025, Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation, https://arxiv.org/abs/2510.14244
  • Jishu Adhikary and Raju Maiti, 15 Oct 2025, Long-Term Spatio-Temporal Forecasting of Monthly Rainfall in West Bengal Using Ensemble Learning Approaches, https://arxiv.org/abs/2510.13927
  • Arefin Ittesafun Abian, Ripon Kumar Debnath, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Md Rafiqul Islam, Asif Karim, Reem E. Mohamed, Sami Azam, 16 Oct 2025, HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging, https://arxiv.org/abs/2507.11325

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