Structural Causal Models

Also known as SCM

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8 papers in the last four weeks, up 60% on the four weeks before. 0.1% of all new papers.

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  1. Personalized Causal Recourse: A Human-In-The-Loop Approach

    Jul 3, 2026Denise Tampieri, Giovanni De Toni, Paolo GiudiciStructural Causal ModelsCausal Structure Learning

    The University of Edinburgh, Edinburgh, UK · ⋆Work conducted during the author’s MSc at the University of Trento, Trento, Italy. · Fondazione Bruno Kessler, Trento, Italy +1

  2. Infinitesimal Causality

    Jun 23, 2026Sridhar MahadevanStructural Causal ModelsCausal Inference

    Adobe Research and University of Massachusetts, Amherst

  3. RetiSEM: Generalising Causal Models for Fragmented Biomedical Data

    Jun 23, 2026Inam Ullah, Imran Razzak, Shoaib JameelLatent Variable ModelsStructural Causal Models

    University of Southampton, Southampton, SO18 1PB, Hampshir, United Kingdom · Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates

  4. Causal Variational Deep Embedding: A Family of Interventional Generators for Confounded Images

    Jun 19, 2026Jingyuan Chen, Kangrui Ruan, Junzhe ZhangVariational AutoencodersStructural Causal Models

    Department of EECS Syracuse University · AWS AI Lab

  5. A Causal DAG Prior for Synthetic Time-Series Classification Datasets

    Jun 19, 2026Franco Martino O'Rourke, Ana Trisovic, Dimitris BertsimasStructural Causal ModelsMultivariate Time Series Classification

    Massachusetts Institute of Technology, Cambridge, MA, USA.

  6. A Framework for Directed Acyclic Hypergraph Learning

    Jun 19, 2026Zhiyuan Dong, Carlos Mundo-Levano, Wei Qian +2Structural Causal ModelsCausal Structure Learning

    Institute for Financial Services Analytics, University of Delaware, Newark, DE 19716, USA · Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA · Department of Applied Economics AND Statistics, University of Delaware, Newark, DE 19716, USA +1

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

    Jun 19, 2026Zhengkang Guan, Yikang Chen, Yi He +5Causal Foundation ModelsStructural Causal Models

    College of Computer Science and Technology Zhejiang University

  8. Two Layers of Instability in Causal Estimation

    Jun 19, 2026Alexis BellotCausal Effect EstimationStructural Causal Models

    Research conducted independently. Preprint.

  9. DeepSWIP: Quotient-WMC Counterfactuals for Neural Probabilistic Logic Programs

    Jun 18, 2026Saimun Habib, Vaishak Belle, Fengxiang HeProbabilistic LogicStructural Causal Models

    University of Edinburgh

  10. Unsupervised Causal Abstractions Discovery

    Jun 17, 2026Théo Saulus, Simon Lacoste-Julien, Dhanya SridharStructural Causal ModelsCausal Discovery

    Mila - Quebec AI Institute · Université de Montréal · Canada CIFAR AI Chair

  11. Identifying Structural Biases from Causal Mechanism Shifts

    Jun 17, 2026Praharsh Nanavati, Jilles Vreeken, David KaltenpothStructural Causal ModelsCausal Discovery

    CISPA Helmholtz Center for Information Security

  12. Tensor-based second-order causal discovery

    Jun 16, 2026Nathan Ouyang, Kexin Wang, Anna SeigalStructural Causal ModelsCausal Discovery

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

    Jun 16, 2026Patrick Blöbaum, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanStructural Causal ModelsAmortized Inference

    Amazon Web Services · Department of Statistics, University of California, Davis

  14. Bayesian Networks with Latent Time Embedding for Stage-Aware Causal Modeling of Alzheimer's Disease Progression

    Jun 14, 2026Nguyen Linh Dan LeCausal Effect EstimationStructural Causal Models

    Department of Biomedical Engineering The University of Melbourne, Melbourne, Australia

  15. From Correlation to Causation in Lane Change Prediction for Automated Driving: A Causal Explanation Framework

    Jun 14, 2026Mohamed Manzour, Aditya Kumar, Augusto Luis Ballardini +1Structural Causal ModelsAutonomous Driving

    Computer Engineering Department, University of Alcalá, Madrid, Spain

  16. Relational Structural Causal Models

    Jun 12, 2026Adiba Ejaz, Elias BareinboimStructural Causal ModelsCausal Identifiability

    Causal AI Lab, Department of Computer Science, Columbia University, NY, USA.

  17. How Useful is Causal Invariance for Domain Adaptation in Finite-Sample Settings?

    Jun 10, 2026Julia Kostin, Kasra Jalaldoust, Elias Bareinboim +2Structural Causal ModelsStatistical Learning Theory

    Department of Computer Science, ETH Zurich · Causal Artificial Intelligence Lab, Columbia University · Department of Statistics, Columbia University

  18. WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds

    Jun 9, 2026Fabio RovaiStructural Causal ModelsCausal World Models

  19. Estimate Collapsibility of Causal Effects in Completed Partial DAGs via Strong d-Convex Hulls

    Jun 8, 2026Yuxin Deng, Yi Sun, Zhiming Li +1Causal Effect EstimationStructural Causal Models

    College of Mathematics and System Science, Xinjiang University, Urumuqi, 830000, Xinjiang, China · Institute of Statistics and Data Science, Xinjiang University of Finance and Economics, Urumuqi, 830000, Xinjiang, China

  20. Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors

    Jun 5, 2026Tao Chen, Yexu Zhou, Zhi Gong +9Synthetic Data PretrainingMultivariate Time Series Forecasting

    SUPCON Technology Co., Ltd. Hangzhou, China · Hangzhou Dianzi University, HangZhou, 310018, China · Xidian University, Xi’an 710071, Shaanxi, China.

  21. Causal Atlases from Entropic Inference: Bayesian Networks beyond Optimal DAGs

    Jun 4, 2026Hazhir Aliahmadi, Irina Babayan, Greg van AndersStructural Causal ModelsBayesian Networks

    Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston ON, Canada

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

    Jun 4, 2026Sota AsanumaStructural Causal ModelsCausal Structure Learning

    SoftBank Corp.

  23. Causal Longitudinal Prior-Fitted Networks for Counterfactual Outcome Prediction

    Jun 4, 2026Amirhossein Zare, Amirhessam Zare, Herlock Rahimi +2Structural Causal ModelsCounterfactual Prediction

    School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. · Department of Electrical and Computer Engineering, Yale University, New Haven, CT, USA. · School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. +2

  24. Causal Modeling of Selection in Evolution

    Jun 4, 2026Haoyue Dai, Zeyu Tang, Peter Spirtes +1Structural Causal ModelsCausal Discovery

    Carnegie Mellon University · Stanford University · Mohamed bin Zayed University of Artificial Intelligence

  25. On the Recoverability of Causal Relations from Bulk Gene Expression Data

    May 30, 2026Gongxu Luo, Boyang Sun, Kun ZhangStructural Causal ModelsCausal Discovery

    Mohamed bin Zayed University of Artificial Intelligence · Carnegie Mellon University

  26. Evaluating Bivariate Causal Statements Based on Mutual Compatibility

    May 29, 2026Erik Jahn, Dominik JanzingStructural Causal ModelsCausal Reasoning

    1California Institute of Technology, USA · 2Amazon Research Tübingen, Germany

  27. Formalizing and falsifying causal pathways of rare events

    May 29, 2026Anahita Haghighat, Dominik JanzingStructural Causal ModelsCausal Abstraction

    Independent · Amazon Research, Tübingen, Germany

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

    May 29, 2026Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang +1Causal Foundation ModelsSynthetic Data Pretraining

    Nanjing University

  29. Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk

    May 28, 2026Tim Woydt, Paul-David ZuercherPAC-Bayesian Generalization BoundsMulti-Armed Bandits

    ProdAxon · Department of Computer Science Technical University Darmstadt · Institute for Manufacturing Department of Engineering University of Cambridge

  30. The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

    May 28, 2026Shu Wan, Abhinav Gorantla, Huan Liu +1Structural Causal ModelsCausal Discovery

    Arizona State University Tempe, United States