Causal Representation Learning

Latest papers 71

14 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading
Jul 16, 2026Yipei Wang, Shiqi Huang, Wen Yan +6Causal Representation Learning Medical Image Classification
UCL Hawkes Institute, University College London, London, UK · Department of Medical Physics and Biomedical Engineering, University College London, London, UK · Department of Urology, University College London Hospital, London, UK +4
CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment
Jul 15, 2026Rabimba Karanjai, Hemanth Madhavarao, Lei Xu +1Causal Representation Learning AI Risk Management
University of Houston · PayPal Inc. · Kent State University
Causal Supervision of Attention for Affective Behaviour Analysis
Jul 13, 2026Nemanja Rašajski, Konstantinos Makantasis, Antonios Liapis +1Causal Representation Learning Facial Action Unit Detection
Institute of Digital Games, University of Malta, Malta · AI Department, University of Malta, Malta
Causally Debiased Latent Action Model for Embodied Action Conditioned World Models
Jul 10, 2026Yufan Wei, Kun Zhou, Lingjun Mao +9Latent Action Learning Causal Representation Learning
Aether AI · University of California, San Diego
Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion
Jun 30, 2026Zhizhong Fu, Wei Zhou, Zhaoyang Jiang +5Multi-Source Image Fusion Causal Representation Learning
School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China. · Department of Radiology, Huzhou Maternity & Child Health Care Hospital, Huzhou 313000, China. · Department of Radiology, Huzhou Maternity & Child Health Care Hospital Affiliated to Huzhou Normal University,Huzhou 313000,China. +3
CouCE: A Unified Causal Framework for Debiased Deep Metric Learning
Jun 29, 2026Xin Yuan, Zhenyang Niu, Meiqi Wan +3Debiased ML Causal Representation Learning
Wuhan University of Science and Technology Wuhan, China · Harbin Institute of Technology Harbin, China
Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts
Jun 26, 2026Yuanyuan Wang, Wenjie Wang, Haoxuan Li +2Stochastic Differential Equations Causal Representation Learning
Mohamed bin Zayed University of Artificial Intelligence · The University of Melbourne · Peking University +1
C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation
Jun 24, 2026Hualong Zhang, Siyang Feng, Zihan Huan +4Computational Pathology Weakly Supervised Image Segmentation
Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin 541004, China · International Joint Research Laboratory of Spatio-temporal Information and Intelligent Location Services, Guilin University of Electronic Technology, Guilin 541004, China · School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
Identifiability Without Gaussianity: Symbolic World Models and Near-Infinite Temporal Consistency
Jun 9, 2026Seth Dobrin, Łukasz ChmielLatent Variable Models Causal Representation Learning
1ARYA Labs, PBC
Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA
Jun 8, 2026Zhou Du, Hamid Krim, Xiao Wu +3Causal Representation Learning Video QA
Graduate School of Informatics, Nagoya University, Nagoya 464-8601, Japan · Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695, USA · School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611730, China +1
MediEncoder: Nonlinear Representation Learning for High-Dimensional Causal Mediation Analysis
Jun 5, 2026Shi Bo, Debarghya Mukherjee, AmirEmad GhassamiCausal Effect Estimation Representation Learning
Department of Mathematics and Statistics, Boston University
Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications
Jun 4, 2026Ankur Garg, Michael Stettler, Aaron Schein +1Causal Representation Learning
Department of Statistics, University of Chicago · University of Tübingen · Department of Statistics & Data Science Institute, University of Chicago +1
CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting
Jun 3, 2026Zhaoqi Zhang, Miao Xie, Yi Li +3Causal Representation Learning Causal Inference
Nanyang Technological University Singapore, Singapore · China Agricultural University Beijing, China · Meituan Beijing, China
Motion-Guided Causal Disentanglement for Robust Multi-View Cine Cardiac MRI Diagnosis
Jun 3, 2026Chuankai Xu, Cristiane De Carvalho Singulane, Mohammad Abuannadi +10Disentangled Representation Learning Causal Representation Learning
University of Virginia, Charlottesville, VA, USA · University of Chicago, Chicago, IL, USA · Ohio State University, Columbus, OH, USA +5
Outsmarting the Chameleon: Counterfactual Decoupling for Tactical OOD Shifts in Live Streaming Risk Assessment
Jun 1, 2026Yiran Qiao, Jing Chen, Jiaqi Xu +3Distribution Shift Robustness Causal Representation Learning
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · ByteDance China, Hangzhou, China · State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences +1
CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
Jun 1, 2026Chengfeng Wu, Tao Zou, Yanru Wu +1Disentangled Representation Learning Causal Representation Learning
Shenzhen Key Laboratory of Ubiquitous Data Enabling, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · State Key Laboratory of Complex & Critical Software Environment, Beihang University, Beijing, China
Causal Representation Learning for Generalisable Recommendation
May 26, 2026Yorgos Felekis, Michael O'Riordan, Oriol Corcoll +1Disentangled Representation Learning Causal Representation Learning
University of Warwick · Spotify · Spotify & University College London
Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction
May 25, 2026Wenkang Jiang, Yuhang Liu, Erdun Gao +3Causal Representation Learning Latent Dynamics Modeling
From Activation to Causality: Discovery of Causal Visual Representations in the Human Brain
May 22, 2026Yuval Golbari, Navve Wasserman, Matias Cosarinsky +5Causal Representation Learning Causal Discovery
Weizmann Institute of Science · Massachusetts Institute of Technology
A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation
May 20, 2026Yan Li, Yuewen Sun, Shaoan Xie +4Representation Learning Causal Representation Learning
1Mohamed bin Zayed University of Artificial Intelligence · 2Carnegie Mellon University
What Makes a Representation Good for Single-Cell Perturbation Prediction?
May 19, 2026Wenkang Jiang, Yuhang Liu, Yichao Cai +5Variational Autoencoders Disentangled Representation Learning
Australian Institute for Machine Learning, Adelaide University, Australia · Responsible AI Research Centre, Australia · College of Computer Science and Artificial Intelligence, Fudan University, China +3
Identifiable Multimodal Causal Representation Learning under Partial Latent Sharing
May 18, 2026Manal Benhamza, Marianne Clausel, Myriam TamiLatent Variable Models Causal Representation Learning
Paris-Saclay University, CentraleSupélec, MICS Lab, France · Lorraine University, CRAN, France
Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling
May 13, 2026Seokha Moon, Minseung Lee, Joon Seo +2Causal Representation Learning End-to-End Autonomous Driving
Korea University · Kakao Mobility
Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling
May 12, 2026Chenran Zhao, Dianxi Shi, Yaowen Zhang +2Causal Representation Learning Reinforcement Learning
College of Computer Science and Technology, National University of Defense Technology, Changsha, China · Institute of Military Transportation, Tianjin, China · Intelligent Game and Decision Lab (IGDL), Beijing, China
Integrating Causal DAGs in Deep RL: Activating Minimal Markovian States with Multi-Order Exposure
May 8, 2026Jiamin Xu, Jacqueline Maasch, Kyra GanMarkov Decision Processes Causal Representation Learning
Cornell Tech, New York, NY
Debiased Multimodal Personality Understanding through Dual Causal Intervention
May 7, 2026Yangfu Zhu, Zitong Han, Nianwen Ning +4Causal Representation Learning Algorithmic Fairness
Capital Normal University · Beijing, China · Henan University +2
RepFlow: Representation Enhanced Flow Matching for Causal Effect Estimation
May 7, 2026Yifei Xie, Jian HuangCausal Effect Estimation Causal Representation Learning
Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong, China.
Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine
May 7, 2026Peisong Zhang, Manqiang Peng, Yuxuan Wu +21Causal Effect Estimation Causal Representation Learning
School of Medicine, NUS, . · College of Design and Engineering, NUS, . · Aier Academy of Ophthalmology, Central South University. +14
MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
May 6, 2026Shicheng Fan, Nour Elhendawy, Jianle Sun +4Causal Representation Learning Causal Identifiability
University of Illinois Chicago · Case Western Reserve University · Carnegie Mellon University +1
The Predictive-Causal Gap: An Impossibility Theorem and Large-Scale Neural Evidence
May 6, 2026Kejun LiuCausal Representation Learning Predictive Representation Learning
State Key Laboratory of Bioinspired Interface Material Science, Institute of Nano & Functional Materials, Soochow University, Suzhou 215123, China

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Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Yipei Wang, Shiqi Huang, Wen Yan, Weixi Yi+5

UCL Hawkes Institute, University College London, London, UK · Department of Medical Physics and Biomedical Engineering, University College London, London, UK · Department of Urology, University College London Hospital, London, UK+4

Causal Representation Learning Medical Image Classification Spurious Correlation Robustness Oncology

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Deep learning models for prostate MRI-based cancer grading may encode clinical covariates that either reflect useful disease-related signal or non-generalising shortcut information, but their role is usually assumed. We propose a causal-reasoning framework for probing covariate dependence in MRI-based International Society of Urological Pathology (ISUP) Grade Group prediction. Rather than treating mpMRI as a direct cause of grade, we model MRI appearance and ISUP grade as observations of latent tumour pathology, and test whether candidate clinical variables act as nuisance correlates, disease-related proxies, or irrelevant covariates in the learned representation. We implement this using an adversarial framework that suppresses the decodability of individual clinical covariate at a time while preserving MRI-based grade prediction. The approach is developed and evaluated on 2,903 prostate MRI examinations, with external validation on 576 patients. We report a set of interesting and previously under-explored imaging-to-clinical-variable interactions in the context of deep learning generalisation. For examples, in binary ISUP Grade Group

\geq2

classification, suppressing age, BMI, and alcohol use improved AUC by 1.23%, 0.84%, and 1.42%, respectively (all p < 0.05), suggesting reduced non-generalising covariate information; In contrast, suppressing PSA and prostate volume degraded AUC by 1.91% and 7.61% (all p < 0.001), indicating that these variables carried task-relevant signal. These findings show that adversarial covariate suppression can provide a practical representation-level analysis for distinguishing potentially harmful dependence from informative signal in prostate MRI grading models.