Aussie AI

Temporal Reasoning

Last Updated 27 August, 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