Causal Foundation Models

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Causal ReasoningCovariate ShiftCausal InferencesCausal GraphStructural Causal ModelHeterogeneous Treatment EffectsLatent ConfoundersTreatment

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Period ending 2026-09-21

2 new papers

A weekly snapshot of new work published in Causal Foundation Models.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Causal Foundation Models.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Causal Foundation Models.

108 papers

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  1. Decoupled Causal Discovery

    Sep 20, 2026Zhengkang Guan, Fei Wu, Kun KuangCausal Foundation ModelsFalse Discovery Rate

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

    Sep 20, 2026Wenbo Xu, Yue He, Yunhai Wang +2Causal Foundation ModelsTime Series

  3. Epidemiological Causal Graph Identification: Challenges, Identifiability and Algorithms

    Sep 17, 2026Sambit Mishra, Yingying Wang, Christine K. Johnson +1Causal Foundation ModelsStructural Equation Models

  4. Copula Adapted Directed Acyclic Graph for Cluster Representation of Biomedical Data

    Sep 14, 2026Heranga K. Rathnasekara, Norou Diawara, Manar D. SamadCausal Foundation ModelsK-Means

  5. CausalArena: Benchmarking Causal Discovery in the Foundation Model Era

    Sep 10, 2026Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang +1Causal Foundation ModelsStructural Causal Model

  6. Federated Causal Discovery via Regression-Directed Cumulants

    Sep 3, 2026Pablo Torrijos, Fabio Stella, José A. Gámez +1Causal Foundation ModelsFederated Learning

  7. Guide, Not Bind: Why Defeasible Priors Fail in Augmented Lagrangian Causal Discovery

    Sep 3, 2026Sairam Sundararaman, Sara Girdhar, Manit Narasimha Murthy +2Causal Foundation ModelsSpurious Correlations

  8. Causal Foundation Models

    Sep 2, 2026Christopher Stith, Hossein Rahmani, Jesse C. CresswellCausal InferencesCausal Foundation Models

  9. Interpretable Causal Discovery via Causal-Effect Constraints

    Aug 12, 2026Cixuan Zhang, Guy Van den Broeck, Benjie WangCausal Foundation ModelsCausal Graph

  10. Conditional Independence Tests for Constraint-Based Causal Discovery: A Survey

    Aug 11, 2026Pavel Averin, Theodoros Moysiadis, Ioannis KatakisConditional IndependenceCausal Foundation Models

  11. SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery

    Aug 5, 2026Shrenik ZinageCausal Foundation ModelsBayesian Networks

  12. GENESIS: Towards Explainable Causal Discovery

    Aug 4, 2026Abhinav Thorat, Ravi Kumar Kolla, Vishak K Bhat +2Causal Foundation ModelsDirected Acyclic Graph

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

    Jul 31, 2026Marco Ruiz, Miguel Arana-Catania, David R. Ardila +1Causal Foundation ModelsCausal Reasoning

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

    Jul 30, 2026Yusen Liu, Yong Wang, Yifan Yin +3Causal Foundation ModelsTime Series

  15. EvoCause: LLM-Guided Evolution of Causal Graphs for Root Cause Analysis

    Jul 29, 2026Lei Zan, Keli Zhang, Shifeng Xie +7Root Cause AnalysisCausal Graph

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

    Jul 27, 2026Mohammad FesangharyCausal Foundation ModelsCausal Reasoning

  17. Amortized Bayesian Causal Discovery of Extended Factor Graphs

    Jul 24, 2026Yichen Gu, Yuxuan Song, Weizhou Qian +2Causal GraphCausal Foundation Models

  18. Local Causal Structure Learning in the Presence of Latent Variables and Selection Bias

    Jul 22, 2026Zheng Li, Hao Zhang, Ruxin Wang +3Causal Foundation ModelsCausal Reasoning

  19. Causal Discovery on Irregular Time Series

    Jul 20, 2026Martim Penim, Ricardo Ribeiro Pereira, Jacopo Bono +3Causal Foundation ModelsCausal Graph

  20. How Far Can Root Cause Analysis Go on Real-World Telemetry Data?

    Jul 15, 2026Athira Gopal, Ashwanth KrishnanRoot Cause AnalysisMicroservices

  21. Relaxing Faithfulness with Intervention-Only Causal Discovery

    Jul 13, 2026Bijan Mazaheri, Jiaqi Zhang, Caroline UhlerCausal Foundation ModelsConditional Independence

  22. DAG-FM: A Foundation Model for Causal Discovery under Heterogeneous Causal Mechanisms

    Jul 13, 2026Yikang Chen, Zhengkang Guan, Haoyuan Qian +3Causal Foundation ModelsStructural Causal Model

  23. CDFM: Towards a General-Purpose Causal Discovery Foundation Model

    Jul 13, 2026Jie Qiao, Ruichu Cai, Zijian Li +6Causal Foundation ModelsVariational

  24. Integrating Background Knowledge for Scalable Causal Discovery

    Jul 11, 2026Mátyás Schubert, Theofanis Aslanidis, Tom Claassen +1Causal Foundation ModelsCausal Graph

  25. How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding

    Jul 10, 2026Debargha Ghosh, Silja Renooij, Anna V. KononovaCausal Foundation ModelsLatent Confounders

  26. DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data

    Jul 10, 2026Xin Li, Jin Li, Shoujin Wang +2Causal Foundation ModelsCausal Graph

  27. CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency

    Jul 9, 2026Xin Wang, Yunshi Wen, Yanan He +4Time-Series Anomaly DetectionAnomaly Detection

  28. Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data

    Jul 5, 2026Stephen Asiedu, David WatsonCausal Foundation ModelsGene-Regulatory Networks

  29. Knowledge-Informed Local Causal Discovery of Optimal Adjustment Sets

    Jul 5, 2026Seong Woo Ahn, Alessandro Leite, José Lucas De Melo Costa +3Causal Foundation Models

  30. MDL Meets Latent Confounders: LNML-based Causal Discovery

    Jul 5, 2026Zhongyi Que, Shin Matsushima, Kenji YamanishiCausal Foundation ModelsLatent Confounders

  31. Order-based Causal Discovery for Multistage Processes

    Jul 4, 2026Eun-Yeol Ma, Junsub Jung, Heeyoung KimCausal Foundation ModelsCausal Graph

  32. CausalSteward: An Agentic Divide-Conquer-Combine Copilot for Causal Discovery

    Jul 2, 2026Nicholas Tagliapietra, Gian Lorenzo Marchioni, Moritz Willig +3Causal Foundation ModelsCausal Reasoning

  33. A Neuroimaging Simulation Framework for Developing and Evaluating Causal AI

    Jun 27, 2026Eryn Libert-Scott, Emma A. M. Stanley, Vibujithan Vigneshwaran +3Neuroimaging ModelsMedical Image Generation

  34. A Causal Foundation Model for Structure and Outcome Prediction

    Jun 25, 2026Max Zhu, Martino Mansoldo, Ching-Hao Wang +1Causal Foundation ModelsCausal Reasoning

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

    Jun 22, 2026Mohammad Fesanghary, Abhinav HavaldarCausal Foundation ModelsTemporal Dependence

  36. Causal Discovery in the Era of Agents

    Jun 22, 2026Yujia Zheng, Vishal Verma, Mantej Gill +3Causal Foundation ModelsLarge Language Model Reliability

  37. A Survey on Federated Causal Discovery and Inference

    Jun 21, 2026Xianjie Guo, Yuwei Wang, Guodu Xiang +4Causal Foundation ModelsFederated Learning

  38. DCD-PFN: A Decoupling-Aware Foundation Model for Causal Discovery

    Jun 19, 2026Zhengkang Guan, Yikang Chen, Yi He +5Causal Foundation ModelsCausal Graph

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

    Jun 18, 2026Shravan Talupula, Saurabh SharmaCausal Foundation ModelsTabular Prior-Data Fitted Network

  40. Latent Confounded Causal Discovery via Lie Bracket Geometry

    Jun 17, 2026Sridhar MahadevanCausal Foundation ModelsCausal Reasoning

  41. Unsupervised Causal Abstractions Discovery

    Jun 17, 2026Théo Saulus, Simon Lacoste-Julien, Dhanya SridharCausal Foundation ModelsCausal Reasoning

  42. Identifying Structural Biases from Causal Mechanism Shifts

    Jun 17, 2026Praharsh Nanavati, Jilles Vreeken, David KaltenpothCausal Foundation ModelsLatent Confounders

  43. Beyond AHI: An Interpretable Causal-Discovery-Guided Framework for Sleep Recovery in Connected Health

    Jun 16, 2026Saba A. Farahani, Elahe Khatibi, Manoj Vishwanath +2Physiological DataRespiratory Sound Classification

  44. Tensor-based second-order causal discovery

    Jun 16, 2026Nathan Ouyang, Kexin Wang, Anna SeigalCausal Foundation ModelsCovariance Estimation

  45. Fast Nonparametric Conditional Independence Testing via Two-Stage Regression

    Jun 16, 2026Eric V. StroblConditional IndependenceCausal Foundation Models

  46. FoundCause: Causal Discovery with Latent Confounders from Observational Data

    Jun 16, 2026Patrick Blöbaum, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanCausal Foundation ModelsStructural Causal Model

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

    Jun 11, 2026Bo Liu, Di Dai, Jingwei Liu +5Causal Foundation ModelsCausal Graph

  48. Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting

    Jun 9, 2026Xinyu Li, Yuanyuan Wang, Haoxuan Li +7Causal Foundation ModelsCausal Graph

  49. Beyond Additivity: Causal Discovery in Location-Scale Noise Models with Hidden Variables

    Jun 6, 2026Mariyam Khan, Shohei Shimizu, Thong PhamCausal Foundation ModelsIdentifiability

  50. polyDAG: Polynomial Acyclicity Constraints for Efficient Continuous Causal Discovery in Visual Semantic Graphs

    Jun 5, 2026Wenhao Zhang, Ramin Ramezani, Tao Han +2Directed Acyclic GraphCausal Foundation Models

  51. EML-CD: Causal Mechanism Recovery via EML Symbolic Trees in Structure Learning

    Jun 4, 2026Sota AsanumaCausal Foundation ModelsMechanistic Interpretability

  52. Causal Modeling of Selection in Evolution

    Jun 4, 2026Haoyue Dai, Zeyu Tang, Peter Spirtes +1Selection BiasEvolution

  53. LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems

    Jun 3, 2026Xiaofeng Xiao, Jianhong Chen, Qiuzhuang Sun +2Causal Foundation ModelsEarly Warning

  54. CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery

    Jun 2, 2026Bo Peng, Kaiwen Wu, Sirui Chen +3Causal Foundation ModelsLarge Language Model Reliability

  55. Learning Temporal Causal Structure via Smooth Differentiable Optimization

    Jun 2, 2026Tong Zhao, Ce Guo, Wayne Luk +2Causal Foundation ModelsTemporal Dependence

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

    Jun 1, 2026Roel Hulsman, Carles Balsells-Rodas, Sara MagliacaneCausal Foundation ModelsIdentifiability

  57. Consistency evaluation of benchmarks used for causal discovery

    Jun 1, 2026Yuzhe Zhang, Chihui Chen, Lina Yao +1Causal Foundation ModelsCausal Graph

  58. TabCausal: Pretraining Across Causal Environments for Tabular Causal Discovery

    May 29, 2026Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang +1Causal Foundation ModelsCausal Reasoning

  59. Test Time Training for Supervised Causal Learning

    May 28, 2026Zizhen Deng, Jiaru Zhang, Rui Ding +5Causal Foundation ModelsSupervised Learning

  60. ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis

    May 26, 2026Phi Nguyen Xuan, Nicholas Tagliapietra, Lavdim Halilaj +2Causal Foundation ModelsRoot Cause Analysis