Causal Discovery

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17 papers in the last four weeks, up 183% on the four weeks before. 0.2% of all new papers.

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TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations
May 4, 2026Gideon Stein, Niklas Penzel, Tristan Piater +1Time-Series Causal Discovery Causal Discovery
Computer Vision Group Jena Friedrich Schiller University Jena Jena, Thuringia, 07743, DE
PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery
May 3, 2026Xihang Shan, Da ZhouTime-Series Causal Discovery Bayesian Inference
School of Mathematical Sciences Xiamen University Fujian, China
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 Discovery Climate 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
Causal Learning with Neural Assemblies
Apr 29, 2026Evangelia Kopadi, Dimitris KallesNeural Processes Causal Discovery
Hellenic Open University Greece
Optimization-Free Topological Sort for Causal Discovery via the Schur Complement of Score Jacobians
Apr 28, 2026Rui Wu, Hong XieCausal Discovery Causal Structure Learning
School of Computer Science and Engineering University of Science and Technology of China
Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft
Apr 27, 2026Zhou Ziheng, Huacong Tang, Jinyuan Zhang +9AI Agents for Scientific Discovery Circuit Discovery
University of California, Los Angeles · Peking University · Amazon
Causal Representation Learning from General Environments under Nonparametric Mixing
Apr 26, 2026Ignavier Ng, Shaoan Xie, Xinshuai Dong +2Causal Representation Learning Causal Discovery
1Carnegie Mellon University · 2Mohamed bin Zayed University of Artificial Intelligence
Causal Discovery as Dialectical Aggregation: A Quantitative Argumentation Framework
Apr 26, 2026Sheng Wei, Yulin Chen, Beishui LiaoCausal Discovery Computational Argumentation
The College of Computer Science and Technology, Zhejiang University · School of Philosophy, Zhejiang University · ZLAIRE, Zhejiang University +1
From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables
Apr 24, 2026Zongyu LiCausal Effect Estimation Causal Discovery
Separable Pathways for Causal Reasoning: How Architectural Scaffolding Enables Hypothesis-Space Restructuring in LLM Agents
Apr 21, 2026John Alderete, Sebastian Benthal, Connie Xu +1Causal Discovery LLM Agents
Amigo AI · Simon Fraser University · International Computer Science Institute
Implicit Causal Graph Construction in Text via Chain Discovery
Apr 20, 2026Liesbeth Allein, Marie-Francine MoensCausal Discovery Causal Reasoning in Language Models
Department of Computer Science, KU Leuven, Belgium · Department of Electronics and Information Systems, Ghent University, Belgium
ClimateCause: Complex and Implicit Causal Structures in Climate Reports
Apr 16, 2026Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci +1Relation Extraction Climate Science
Department of Computer Science, KU Leuven, Belgium · Institute of Argumentation, Linguistics, and Semiotics (IALS), Universit`a della Svizzera italiana, Switzerland
CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations
Apr 16, 2026Xiangning Yu, Yuwei Guo, Yuqi Hou +2Causal Discovery Causal Structure Learning
College of Intelligence and Computing, Tianjin University, Tianjin, China · Tianjin Key Laboratory of Healthy Habitat and Smart Technology, Tianjin, China · Laboratory of Computation and Analytics of Complex Management Systems, Tianjin University, Tianjin, China
Identification of Bivariate Causal Directionality Based on Anticipated Asymmetric Geometries
Mar 27, 2026Alex GlushkovskyCausal Discovery
Learning Causal Structure of Time Series using Best Order Score Search
Mar 5, 2026Irene Gema Castillo Mansilla, Urmi NinadTime-Series Causal Discovery Bayesian Networks
University of Potsdam, Potsdam, Germany · Department of Computer Science, University of Potsdam, Potsdam, Germany
Use What You Know: Causal Foundation Models with Partial Graphs
Feb 16, 2026Arik Reuter, Anish Dhir, Cristiana Diaconu +6Causal Foundation Models Causal Discovery
University of Cambridge, Cambridge, United Kingdom · Max Planck Institute for Intelligent Systems, Tübingen, Germany · Gatsby Computational Neuroscience Unit, University College London +5
Uncertainty Quantification in Federated Granger Causality Learning
Feb 13, 2026Ayush Mohanty, Nazal Mohamed, Nagi GebraeelTime-Series Causal Discovery Causal Discovery
Georgia Institute of Technology Atlanta, GA 30332
CauScale: Neural Causal Discovery at Scale
Feb 9, 2026Bo Peng, Sirui Chen, Jiaguo Tian +2Efficient Neural Network Inference Causal Discovery
Shanghai Jiao Tong University · Shanghai Artificial Intelligence Laboratory · Shanghai Innovation Institute +1
Skewness-Robust Causal Discovery in Location-Scale Noise Models
Nov 18, 2025Daniel Klippert, Alexander MarxCausal Discovery
Department of Statistics, TU Dortmund University, Germany · Research Center Trustworthy Data Science and Security, University Alliance Ruhr, Germany.
MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions
Oct 25, 2025Hans Jarett Ong, Yoichi Chikahara, Tomoharu IwataMeta-Learning Causal Discovery
Nara Institute of Science and Technology, Nara, Japan · NTT Communication Science Laboratories, Kyoto, Japan
Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity
Oct 22, 2025Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1Time-Series Causal Discovery Causal Discovery
Texas A&M University · University of Tennessee at Chattanooga · Brookhaven National Laboratory
Design of Experiment for Discovering Directed Mixed Graph
Sep 2, 2025Haijie Xu, Chen ZhangGraph Structure Learning Causal Discovery
Department of Industrial Engineering Tsinghua University
Tags for DAGs: Graph Refinement with Meta-Informed Relations
Jun 24, 2025Florian Peter Busch, Moritz Willig, Florian Guldan +2Causal Discovery Causal Structure Learning
Computer Science Department, Technical University of Darmstadt · Hessian Center for AI (hessian.AI) · German Research Center for AI (DFKI) +2
Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
Feb 27, 2025Ambroise Heurtebise, Omar Chehab, Pierre Ablin +2Structural Causal Models Causal Discovery
Inria, CEA, University of Paris-Saclay, France · University of Carnegie Mellon, Pittsburgh PA, USA · Apple +1
The observational partial order of causal structures with latent variables
Feb 11, 2025Marina Maciel Ansanelli, Elie Wolfe, Robert W. SpekkensLatent Variable Models Causal Discovery
Perimeter Institute for Theoretical Physics, 31 Caroline Street North, Waterloo, Ontario Canada N2L 2Y5 · Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1
Towards Complete Causal Explanation with Expert Knowledge
Jul 10, 2024Aparajithan Venkateswaran, Emilija PerkovićStructural Causal Models Causal Discovery
Microsoft · Redmond, WA 98052, USA · Department of Statistics +2
CausalBN-Bench: A Comprehensive Benchmark for Causal Learning Capability of LLMs
Apr 9, 2024Yu Zhou, Xingyu Wu, Jibin Wu +2LLM Evaluation Causal Discovery
Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China · College of Computer Science, Chongqing University, Chongqing 400044, China
Causal Discovery in Mixtures of Populations
Nov 13, 2023Bijan Mazaheri, Spencer Gordon, Yuval Rabani +1Latent Variable Models Causal Discovery
Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA · Fragment Data Technologies, San Francisco, California, USA · Department of Computer Science, Hebrew Univeristy of Jerusalem, Jerusalem, Israel +1

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

Gideon Stein, Niklas Penzel, Tristan Piater, Joachim Denzler

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

Time-Series Causal Discovery Causal Discovery

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Causal Discovery (CD) is a powerful framework for scientific inquiry. Yet, its practical adoption is hindered by a reliance on strong, often unverifiable assumptions and a lack of robust performance assessment. To address these limitations and advance empirical CD evaluation, we present TCD-Arena, a modularized, highly customizable, and extendable testing kit to assess the robustness of time series CD algorithms against stepwise more severe assumption violations. For demonstration, we conduct an extensive empirical study comprising around 30 million individual CD attempts and reveal nuanced robustness profiles for 33 distinct assumption violations. Further, we investigate CD ensembles and find that they have the potential to improve general robustness, which has implications for real-world applications. With this, we strive to ultimately facilitate the development of CD methods that are reliable for a diverse range of synthetic and potentially real-world data conditions.

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Latest papers 148