ICML 2026将在2026年7月6日—11日于韩国首尔Seoul, South Korea举行。本文总结了2026 ICML上有关时间序列time series相关论文。如有疏漏欢迎大家补充。注由于时间序列标题包含time series或time-series的论文高达125篇其中两篇可以算作时空除去还有123篇笔者将分为上中下3篇推文来总结此为第3篇共计39篇。本文时间序列Topic因果可解释性不规则时序表示学习benchmark等。1. Credibility-Aware Weighting Federated Causal Discovery for Time Series2. Generalizing Multi-Scale Time-Series Modeling with a Single Operator3. BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series4. Latent Laplace Diffusion for Irregular Multivariate Time Series5. TiMi: Empower Time Series Transformers with Multimodal Mixture of Experts6. Towards a Unified Generative Model for Scarce Time Series with Domain Experts7. Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases8. DualTimesField: Rethinking Time Series as Continuous-Time Trends and Events9. A Spiking Heterogeneous Harmonic Resonate-and-Fire State Space Model for Time Series10. TopoDistill: Distilling Global System Topology for Causal Discovery in Multivariate Time Series11. Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization12. Dynamic Relational Priming Improves Transformer in Multivariate Time Series13. Function-Valued Causal Influence in Nonlinear Time Series14. Position: Why a Dynamical Systems Perspective is Needed to Advance Time Series Modeling15. PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering16. Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings17. Causal Discovery for Irregularly Time Series with Consistency Guarantees18. Robust Causal Discovery in Real-World Time Series with Power-Laws19. Causal discovery for time series with endogenous context variables20. Time series saliency maps: Explaining models across multiple domains21. TimeSAE: Sparse Decoding for Faithful Explanations of Black-Box Time Series Models22. TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models23. ProSAR: Prototype-Guided Semantic Augmentation and Refinement for Time Series Contrastive Learning24. Terminal Dimension Reduction for Time Series with Applications25. NeurOCNN: A Neural-Operator-Based Model for Physiological Time Series26. TimeLAVA: Learning-Agnostic Valuation for Time Series Data27. Ranking Time Series using a Time Warping Ideal Point Model28. ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion29. Generative Modeling of Irregular Time Series via SDE-Induced Continuous-Discrete Variational Inference30. Position: Interpretability in Deep Time Series Models Demands Semantic Alignment31. QuITE: Query-based Irregular Time-series Embedding32. Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks33. Unified Time Series Explanations via Semi-Amortized Optimization and Instance-level Multi-Expert Knowledge Distillation34. Adaptive Time Series Reasoning via Segment Selection35. Words Towards Explainability: Caption Label-Free Learning via Dual Loop Agentic Time Series Captioning36. ReAugment: Targeted Few-Shot Time Series Augmentation via Model Zoo-Guided Reinforcement Learning37. Sparse Regression withℓ0\ell_0ℓ0​Constraints forα\alphaα-Mixing Time Series: Algorithms and Guarantees38. BEDTime: A Unified Benchmark for Automatically Describing Time Series39. Time-Series Decomposition as a standalone Task: A Mechanism-Driven Diagnostic Benchmark1 Credibility-Aware Weighting Federated Causal Discovery for Time Series链接https://icml.cc/virtual/2026/poster/62849作者Jiegang Xu ⋅ Fuyuan CAO ⋅ Jiye Liang关键词因果发现可信度感知2 Generalizing Multi-Scale Time-Series Modeling with a Single Operator链接https://icml.cc/virtual/2026/poster/62286作者Cheonwoo Lee ⋅ Dooho Lee ⋅ Doyun Choi ⋅ Jaemin Yoo关键词多尺度时序建模核函数3 BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series链接https://icml.cc/virtual/2026/poster/66155作者Du guikang ⋅ Haoran Li ⋅ Xinyu Liu ⋅ Zhibo Zhang ⋅ Xiaoli Gong ⋅ Jin Zhang关键词生物医学时序谱漂移4 Latent Laplace Diffusion for Irregular Multivariate Time Series链接https://icml.cc/virtual/2026/poster/61165作者Zinuo You ⋅ Jin Zheng ⋅ John Cartlidge关键词不规则时序扩散模型预测/插补5 TiMi: Empower Time Series Transformers with Multimodal Mixture of Experts链接https://icml.cc/virtual/2026/poster/64391arXivhttps://arxiv.org/abs/2602.21693作者Jiafeng Lin ⋅ Yuxuan Wang ⋅ HUAKUN LUO ⋅ Jianmin Wang ⋅ Zhongyi Pei关键词多模态时序MoE6 Towards a Unified Generative Model for Scarce Time Series with Domain Experts链接https://icml.cc/virtual/2026/poster/62223作者Zihao Yao ⋅ Qi Zheng ⋅ Jiankai Zuo ⋅ YAYING ZHANG关键词生成式领域专家7 Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases链接https://icml.cc/virtual/2026/poster/61266arXivhttp://arxiv.org/abs/2602.17001v1作者Zhao Tan ⋅ Yiji Zhao ⋅ Shiyu Wang ⋅ Chang Xu ⋅ Yuxuan Liang ⋅ Xiping Liu ⋅ Shirui Pan ⋅ Ming Jin关键词时序数据库自然语言查询神经符号框架8 DualTimesField: Rethinking Time Series as Continuous-Time Trends and Events链接https://icml.cc/virtual/2026/poster/60845作者Wencheng Zhang ⋅ Long Li ⋅ Huayi Qin ⋅ Zongjuan Wu ⋅ Jing Li ⋅ Wanghu Chen关键词时序表示学习神经场9 A Spiking Heterogeneous Harmonic Resonate-and-Fire State Space Model for Time Series链接https://icml.cc/virtual/2026/poster/62795作者Kartikay Agrawal ⋅ Vaishnavi Nagabhushana ⋅ Abhijeet Vikram ⋅ Vedant Sharma ⋅ Ayon Borthakur关键词脉冲神经网络状态空间10 TopoDistill: Distilling Global System Topology for Causal Discovery in Multivariate Time Series链接https://icml.cc/virtual/2026/poster/64953作者Zehao Liu ⋅ Pengfei Jiao ⋅ Yuhan Wu ⋅ Jianqi Yang ⋅ Yuyu Yin关键词因果推断知识蒸馏11 Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization链接https://icml.cc/virtual/2026/poster/61898arXivhttp://arxiv.org/abs/2605.00130v1作者Huayu Li ⋅ ZhengXiao He ⋅ Xiwen Chen ⋅ Jingjing Wang ⋅ Siyuan Tian ⋅ Jinghao Wen ⋅ Ao Li关键词解耦率失真医疗时序12 Dynamic Relational Priming Improves Transformer in Multivariate Time Series链接https://icml.cc/virtual/2026/poster/62910arXivhttp://arxiv.org/abs/2509.12196v1作者Hunjae Lee ⋅ Corey Clark关键词注意力机制通道关系建模13 Function-Valued Causal Influence in Nonlinear Time Series链接https://icml.cc/virtual/2026/poster/64652作者Valentina Kuskova ⋅ Dmitry Zaytsev ⋅ Michael Coppedge关键词因果发现函数值因果影响14 Position: Why a Dynamical Systems Perspective is Needed to Advance Time Series Modeling链接https://icml.cc/virtual/2026/poster/67104arXivhttp://arxiv.org/abs/2602.16864v1作者Daniel Durstewitz ⋅ Christoph Jürgen Hemmer ⋅ Florian Hess ⋅ Charlotte Ricarda Doll ⋅ Lukas Eisenmann关键词动力系统15 PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering链接https://icml.cc/virtual/2026/poster/65414arXivhttp://arxiv.org/abs/2602.23161v1作者Junkai Lu ⋅ Peng Chen ⋅ Xingjian Wu ⋅ Yang Shu ⋅ Chenjuan Guo ⋅ Christian S Jensen ⋅ Bin Yang关键词问答对齐推理16 Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings链接https://icml.cc/virtual/2026/poster/61949作者Gerardo Pastrana ⋅ Sina Pakazad ⋅ Henrik Ohlsson ⋅ Utsav Dutta关键词通道感知时序嵌入17 Causal Discovery for Irregularly Time Series with Consistency Guarantees链接https://icml.cc/virtual/2026/poster/60649作者Weihong Li ⋅ Baohong Li ⋅ Anpeng Wu ⋅ Zhihan Li ⋅ Ming Ma ⋅ Kun Kuang ⋅ Keting Yin关键词因果发现18 Robust Causal Discovery in Real-World Time Series with Power-Laws链接https://icml.cc/virtual/2026/poster/66032arXivhttp://arxiv.org/abs/2507.12257v3作者Matteo Tusoni ⋅ Giuseppe Masi ⋅ Andrea Coletta ⋅ Aldo Glielmo ⋅ Viviana Arrigoni ⋅ Novella Bartolini关键词因果发现稳健性19 Causal discovery for time series with endogenous context variables链接https://icml.cc/virtual/2026/poster/66592作者Oana-Iuliana Popescu ⋅ Wiebke Günther ⋅ Martin Rabel ⋅ Jakob Runge关键词因果发现结构因果模型20 Time series saliency maps: Explaining models across multiple domains链接https://icml.cc/virtual/2026/poster/65637arXivhttp://arxiv.org/abs/2505.13100v3作者Christodoulos Kechris ⋅ Jonathan Dan ⋅ David Atienza关键词模型解释21 TimeSAE: Sparse Decoding for Faithful Explanations of Black-Box Time Series Models链接https://icml.cc/virtual/2026/poster/66052arXivhttp://arxiv.org/abs/2601.09776v1作者Khalid Oublal ⋅ Quentin Bouniot ⋅ Qi Gan ⋅ Stephan Clemencon ⋅ Zeynep Akata关键词稀疏解码公平解释22 TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models链接https://icml.cc/virtual/2026/poster/63969arXivhttp://arxiv.org/abs/2601.18744v1代码https://github.com/tianyi-lab/TSRBench作者Fangxu Yu ⋅ Xingang Guo ⋅ Lingzhi Yuan ⋅ Haoqiang Kang ⋅ Hongyu Zhao ⋅ Lianhui Qin ⋅ Furong Huang ⋅ Bin Hu ⋅ Tianyi Zhou关键词多模态时序推理23 ProSAR: Prototype-Guided Semantic Augmentation and Refinement for Time Series Contrastive Learning链接https://icml.cc/virtual/2026/poster/62342作者Caiyi Yang ⋅ Chenglin Li ⋅ Hao Zhang ⋅ Weijia Lu ⋅ ZHIFEI YANG ⋅ Wenrui Dai ⋅ xiaodong Zhang ⋅ Xiaofeng Ma ⋅ Can Zhang ⋅ Junni Zou ⋅ Hongkai Xiong关键词对比学习语义增强24 Terminal Dimension Reduction for Time Series with Applications链接https://icml.cc/virtual/2026/poster/62402作者Alexander Munteanu ⋅ Matteo Russo ⋅ David Saulpic ⋅ Chris Schwiegelshohn关键词终端嵌入25 NeurOCNN: A Neural-Operator-Based Model for Physiological Time Series链接https://icml.cc/virtual/2026/poster/62493代码https://github.com/dcoder444/NeurOCNN作者Daya Kumar ⋅ Uday Devulapalli ⋅ Aarat Satsangi ⋅ Apurva Narayan关键词神经算子生理时序26 TimeLAVA: Learning-Agnostic Valuation for Time Series Data链接https://icml.cc/virtual/2026/poster/62497作者Wenqin Liu ⋅ Weizhi Quan ⋅ Aoqi Zuo ⋅ Erdun Gao ⋅ Vu Nguyen ⋅ Dino Sejdinovic ⋅ Howard Bondell ⋅ Mingming Gong关键词数据估值异常检测数据剪枝标签噪声检测27 Ranking Time Series using a Time Warping Ideal Point Model链接https://icml.cc/virtual/2026/poster/66190作者Lucas Zoroddu ⋅ Pierre Humbert ⋅ Laurent Oudre关键词排序DTW28 ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion链接https://icml.cc/virtual/2026/poster/66272作者Yingda Fan ⋅ Dan Lu ⋅ Xiaowei Jia关键词零样本时序重构29 Generative Modeling of Irregular Time Series via SDE-Induced Continuous-Discrete Variational Inference链接https://icml.cc/virtual/2026/poster/64934作者Zexin Yuan ⋅ Qinliang Su ⋅ Junxi Xiao关键词不规则时序随机微分方程变分推断30 Position: Interpretability in Deep Time Series Models Demands Semantic Alignment链接https://icml.cc/virtual/2026/poster/67131作者Giovanni De Felice ⋅ Riccardo DElia ⋅ Alberto Termine ⋅ Pietro Barbiero ⋅ Giuseppe Marra ⋅ Silvia Santini关键词语义对齐可解释性31 QuITE: Query-based Irregular Time-series Embedding链接https://icml.cc/virtual/2026/poster/64962作者Junghoon Lim关键词不规则时序查询32 Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks链接https://icml.cc/virtual/2026/poster/66770arXivhttp://arxiv.org/abs/2602.02763v2作者Bohan Wang ⋅ Zewen Liu ⋅ Lu Lin ⋅ Hui Liu ⋅ Li Xiong ⋅ Ming Jin ⋅ Wei Jin关键词可解释性检测33 Unified Time Series Explanations via Semi-Amortized Optimization and Instance-level Multi-Expert Knowledge Distillation链接https://icml.cc/virtual/2026/poster/62730作者Viet-Hung Tran ⋅ Zichi Zhang ⋅ Ngoc Doan ⋅ Xuan Hoang Nguyen ⋅ Phi Nguyen ⋅ Yimeng An ⋅ Peixin Li ⋅ Hans Vandierendonck ⋅ Ira Assent ⋅ Son Thai关键词可解释性知识蒸馏34 Adaptive Time Series Reasoning via Segment Selection链接https://icml.cc/virtual/2026/poster/60563arXivhttp://arxiv.org/abs/2602.18645v1作者Shvat Messica ⋅ Jiawen Zhang ⋅ Kevin Li ⋅ Theodoros Tsiligkaridis ⋅ Marinka Zitnik关键词推理片段选择35 Words Towards Explainability: Caption Label-Free Learning via Dual Loop Agentic Time Series Captioning链接https://icml.cc/virtual/2026/poster/64438作者Difei Hou ⋅ Jiaqi Yue ⋅ Chunhui Zhao关键词时间序列文本描述生成可解释性36 ReAugment: Targeted Few-Shot Time Series Augmentation via Model Zoo-Guided Reinforcement Learning链接https://icml.cc/virtual/2026/poster/63111作者Haochen Yuan ⋅ Yutong Wang ⋅ Yihong Chen ⋅ Yunbo Wang ⋅ Xiaokang Yang关键词小样本时序预测强化学习数据增广37 Sparse Regression withℓ0\ell_0ℓ0​Constraints forα\alphaα-Mixing Time Series: Algorithms and Guarantees链接https://icml.cc/virtual/2026/poster/63855作者Ruoxin Yuan ⋅ Lijun Ding关键词α- 混合平稳高斯过程高斯向量自回归38 BEDTime: A Unified Benchmark for Automatically Describing Time Series链接https://icml.cc/virtual/2026/poster/63965作者Medhasweta Sen ⋅ Zachary Gottesman ⋅ Jiaxing Qiu ⋅ C. Bayan Bruss ⋅ Nam Nguyen ⋅ Thomas Hartvigsen关键词benchmark时序结构特征描述39 Time-Series Decomposition as a standalone Task: A Mechanism-Driven Diagnostic Benchmark链接https://icml.cc/virtual/2026/poster/63747作者Zipeng Wu ⋅ Jiani Wei ⋅ Shiqiao Zhou ⋅ Jiajun Chen ⋅ Fabian Spill ⋅ J. Andrews关键词时序分解benchmark