Time-Series Causal Discovery

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6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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  1. Delay-coordinate reconstruction and conditional-moment causal diagnostics in stochastic systems

    Oct 4, 2026Jun OhkuboDynamical SystemsStochastic Linear Dynamical Systems

    Graduate School of Science and Engineering, Saitama University, Sakura, Saitama, 338–8570 Japan

  2. Causal Lag Structure Discovery in Confounded Time Series via Orthogonalized Adaptive Estimation

    Oct 4, 2026Hong Kiat Tan, Isaac-Neil Zanoria, James Chen +2Debiased MLTime-Series Causal Discovery

    Department of Mathematics, University of California, Los Angeles · Department of Electrical and Computer Engineering, University of California, Los Angeles · Oxford-Man Institute of Quantitative Finance, University of Oxford +1

  3. Inferring Causal Relations between Two Sequences of Events with Language Models

    Sep 30, 2026Nishchal Prasad, Eric Gaussier, Emilie Devijver +3Time-Series Causal DiscoveryCausal Discovery

    INRIA, Univ. Grenoble Alpes, CNRS, LIG · Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG · Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG +1

  4. Forecast-Necessary Causal Discovery for Nonlinear Political Panel Data: Feedback, Functional Form, and the Dynamics of Democratization

    Sep 28, 2026Michael Coppedge, Dmitry Zaytsev, Valentina KuskovaTime-Series Causal DiscoveryCausal Discovery

    Department of Political Science, University of Notre Dame, Notre Dame, IN, USA · Kellogg Institute, University of Notre Dame, Notre Dame, IN, USA · Lucy Family Institute for Data & Society, University of Notre Dame, Notre Dame, IN, USA

  5. ITSY: Causal Discovery From Irregular Time-Series Data

    Sep 20, 2026Wenbo Xu, Yue He, Yunhai Wang +2Irregular Time-Series ModelingStructural Causal Models

    Renmin University of China, China · Zhejiang University, China

  6. Fundamental Dynamical Units for Physics-Informed Structural Inference from Perturbation Time-Series in Networked Systems

    Sep 14, 2026Nima NouriTime-Series Causal DiscoveryCausal Discovery

    Artificial Intelligence for Science Innovation, AstraZeneca, Waltham, MA, USA

  7. Replicating TRACE: A Practitioner's Guide to Its Threshold and Particle Budget

    Sep 1, 2026Alex Chadyuk, Alicia Zhang, Roy KucukatesTime-Series Causal DiscoveryCausal Discovery

    LotusFlare Inc.

  8. AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery

    Jul 31, 2026Marco Ruiz, Miguel Arana-Catania, David R. Ardila +1Time-Series Causal DiscoveryCausal Discovery

    ISR-Lisbon, Instituto Superior Técnico, Av. Rovisco Pais 1, Lisbon, 1049-001, Portugal · Digital Scholarship at Oxford, University of Oxford, Oxford, OX1 3BG, United Kingdom · Jet Propulsion Lab., Caltech, Pasadena, CA 91109, California, USA

  9. Causal Discovery with Inverted Self-attention for Multivariate Time Series

    Jul 30, 2026Yusen Liu, Yong Wang, Yifan Yin +3Time-Series Causal DiscoveryCausal Discovery

    School of Computer Science, University of Technology Sydney, Sydney, Australia · TianFu YongXing Laboratory, Chengdu, China · Faculty of Data Science, City University of Macau, Macau, China +1

  10. DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series

    Jul 29, 2026Dennis Thumm, Billy Tim Anthony, Ying ChenCounterfactual EvaluationStructural Causal Models

    National University of Singapore, Singapore, Singapore

  11. Causal-TS: A Python Library for Causal Discovery in High-Dimensional and Nonstationary Time Series

    Jul 27, 2026Mohammad FesangharyTime-Series Causal DiscoveryCausal Discovery

    Bloomberg LP, New York, NY, USA

  12. CEDAR: Causal Edge Discovery for Autoregressive Processes

    Jul 22, 2026Mohammad FesangharyTime-Series Causal DiscoveryCausal Discovery

    Bloomberg LP

  13. Causal Discovery on Irregular Time Series

    Jul 20, 2026Martim Penim, Ricardo Ribeiro Pereira, Jacopo Bono +3Irregular Time-Series ModelingTime-Series Causal Discovery

    1Feedzai, Portugal · 3DCC, Faculdade de Ciêncidas da Universidade do Porto, Portugal · 2Instituto Superior Técnico, Universidade de Lisboa, Portugal +1

  14. GRACE: Gated Refinement for Accurate Causal Edge Discovery in High-Dimensional Time Series

    Jun 22, 2026Mohammad Fesanghary, Abhinav HavaldarTime-Series Causal DiscoveryCausal Discovery

  15. Temporal Causal Prior-Data Fitted Networks for Panel Data with Learned Reliability Signals

    Jun 18, 2026Shravan Talupula, Saurabh SharmaCausal Foundation ModelsCausal Effect Estimation

    ProfitOps Inc.

  16. Graphical Causal Reasoning for Root Cause Analysis in Cloud Networks

    Jun 11, 2026Fabien Chraim, Dominik Janzing, John EvansTime-Series Causal DiscoveryCloud Computing

    Amazon Web Services

  17. CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts

    Jun 11, 2026Bo Liu, Di Dai, Jingwei Liu +5Time-Series Causal DiscoveryMixture-of-Experts Models

    State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University Beijing, China · National Institute of Health Data Science, and Institute for Artificial Intelligence, Peking University Beijing, China

  18. Learning Temporal Causal Structure via Smooth Differentiable Optimization

    Jun 2, 2026Tong Zhao, Ce Guo, Wayne Luk +2Time-Series Causal DiscoveryCausal Discovery

  19. Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families

    Jun 1, 2026Roel Hulsman, Carles Balsells-Rodas, Sara MagliacaneTime-Series Causal DiscoveryRegime-Switching Dynamical Systems

    University of Amsterdam · 2Adyen · 3Imperial College London +1

  20. Time Series Causal Discovery via Context-Conditioned and Causality-Augmented Pretraining

    May 26, 2026Biao Ouyang, Tengxue Zhang, Zhihao Zhuang +3Time-Series Causal DiscoveryOOD Generalization

    East China Normal University

  21. Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing

    May 26, 2026Minh K. Quan, Pubudu N. Pathirana6G NetworksTime-Series Causal Discovery

    School of Engineering, Deakin University, Geelong VIC 3220, Australia

  22. Function-Valued Causal Influence in Nonlinear Time Series

    May 26, 2026Valentina V. Kuskova, Dmitry Zaytsev, Michael CoppedgeCausal Effect EstimationTime-Series Causal Discovery

    Lucy Family Institute for Data & Society, University of Notre Dame, Notre Dame, Indiana, USA. · Department of Political Science, University of Notre Dame, Notre Dame, Indiana, USA.

  23. Causal Discovery in Structural VAR Models Under Equal Noise Variance

    May 21, 2026SeyedSina Seyedi HasanAbadi, Fahimeh Arab, Erfan Nozari +1Time-Series Causal DiscoveryCausal Discovery

    Bourns College of Engineering, University of California, Riverside · University of California, San Francisco · Department of Mathematics and Statistics, Boston University

  24. Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions

    May 11, 2026Tsuyoshi OkitaTime-Series Causal DiscoveryCausal Discovery

    Kyushu Institute of Technology

  25. Prediction Bottlenecks Don't Discover Causal Structure (But Here's What They Actually Do)

    May 9, 2026Ankit Hemant Lade, Sai Krishna Jasti, Indar Kumar +1Time-Series Causal DiscoveryCausal Discovery

  26. Mask2Cause: Causal Discovery via Adjacency Constrained Causal Attention

    May 8, 2026Omar Muhammad, Pasupuleti Dhruv Shivkant, Deepak N. SubramaniTime-Series Causal DiscoveryCausal Structure Learning

    1Indian Institute of Science, Bengaluru, India

  27. PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning

    May 8, 2026Elahe Khatibi, Ziyu Wang, Saba A. Farahani +4Structural Causal ModelsHealthcare

    University of California, Irvine · Washington University in St. Louis

  28. TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations

    May 4, 2026Gideon Stein, Niklas Penzel, Tristan Piater +1Time-Series Causal DiscoveryCausal Discovery

    Computer Vision Group Jena Friedrich Schiller University Jena Jena, Thuringia, 07743, DE

  29. PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery

    May 3, 2026Xihang Shan, Da ZhouTime-Series Causal DiscoveryBayesian Inference

    School of Mathematical Sciences Xiamen University Fujian, China

  30. To Use AI as Dice of Possibilities with Timing Computation

    May 1, 2026Jia Li, Vipin Kumar, Rui ZhangCausal World ModelsTime-Series Causal Discovery

    Department of Surgery, University of Minnesota, Minneapolis, United States · Department of Computer Science & Engineering, University of Minnesota, Minneapolis, United States