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Papers
A Causal Marriage between VLM and IRM from Understanding to Reasoning
CVPR 2026
COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series
AAAI 2026
Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention
CLeaR 2026
Identifying Weight-Variant Latent Causal Models
JMLR 2026
Learning a Spatial Partitioning and its Causal Relations from Temporal Data
CLeaR 2026
On Causal Representation Learning with Internal Auxiliaries
UAI 2026
The Proxy Presumption: From Semantic Embeddings to Valid Social Measures
ACL 2026
Toward Causal Foundation World Models: From Representation to Decision-Making
AAAI 2026
Causality-Inspired Disentanglement for Fair Graph Neural Networks
IJCAI 2025
Causal Representation Learning from General Environments under Nonparametric Mixing
AISTATS 2025
Causal Representation Learning from Multimodal Biomedical Observations
ICLR 2025
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
EMNLP 2025
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction
IJCAI 2025
Interpretable Causal Representation Learning for Biological Data in the Pathway Space
ICLR 2025
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
ICLR 2025
Learning Causal Response Representations through Direct Effect Analysis
UAI 2025
Nonparametric Factor Analysis and Beyond
AISTATS 2025
On the Identifiability of Causal Abstractions
AISTATS 2025
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization
AAAI 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System
ICML 2025
Score-based Causal Representation Learning: Linear and General Transformations
JMLR 2025
Toward Causal Generative Modeling: From Representation to Generation
AAAI 2025
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
ICLR 2025
Unifying Causal Representation Learning with the Invariance Principle
ICLR 2025
Visual Representation Learning through Causal Intervention for Controllable Image Editing
CVPR 2025