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. M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data

    May 1, 2026J. Jake Nichol, Michael Weylandt, G. Matthew Fricke +2Time-Series Causal DiscoveryClimate Science

    Scientific Machine Learning, Center for Computing Research Sandia National Laboratories · Zicklin School of Business Baruch College, CUNY · Department of Computer Science University of New Mexico +2

  2. TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data

    Apr 27, 2026Omar Faruque, Sahara Ali, Xue Zheng +1Time-Series Causal DiscoveryCausal Structure Learning

    Department of Information Systems University of Maryland, Baltimore County Baltimore, Maryland, USA · Department of Data Science University of North Texas Denton, Texas, USA · Climate Science Section Lawrence Livermore National Laboratory Livermore, California, USA

  3. Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models

    Apr 20, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeTime-Series Causal DiscoveryCausal Interpretability

    Lucy Family Institute for Data & Society · University of Notre Dame · Notre Dame, IN, USA +1

  4. Learning Causal Structure of Time Series using Best Order Score Search

    Mar 5, 2026Irene Gema Castillo Mansilla, Urmi NinadTime-Series Causal DiscoveryBayesian Networks

    University of Potsdam, Potsdam, Germany · Department of Computer Science, University of Potsdam, Potsdam, Germany

  5. Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity

    Oct 22, 2025Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1Time-Series Causal DiscoveryCausal Discovery

    Texas A&M University · University of Tennessee at Chattanooga · Brookhaven National Laboratory

  6. Granger Causality in Extremes

    Jul 12, 2024Juraj Bodik, Olivier C. PascheTime-Series Causal DiscoveryCausal Inference

    Faculty of Business and Economics, University of Lausanne, Switzerland · Department of Statistics, UC Berkeley, California, USA · Research Institute for Statistics and Information Science, University of Geneva, Switzerland +1