structural causal model

Causal Inference amid Missingness-Specific Independences and Mechanism Shifts UAI 2025 Causally Consistent Normalizing Flow AAAI 2025 CodeSCM: Causal Analysis for Multi-Modal Code Generation NAACL 2025 Counterfactual Influence in Markov Decision Processes CLeaR 2025 DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification AISTATS 2025 Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport AAAI 2025 Differentiable Causal Structure Learning with Identifiability by NOTIME AISTATS 2025 Disconfounding Fake News Video Explanation with Causal Inference IJCAI 2025 Distinguishing Cause from Effect with Causal Velocity Models ICML 2025 Exogenous Isomorphism for Counterfactual Identifiability ICML 2025 Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between Agents CLeaR 2025 FeDCM: Federated Learning of Deep Causal Generative Models UAI 2025 From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs ACL 2025 Generating Synthetic Relational Tabular Data via Structural Causal Models ACL 2025 Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding IJCAI 2025 Language Models as Causal Effect Generators EMNLP 2025 Learning Invariant Causal Mechanism from Vision-Language Models ICML 2025 Learning Structural Causal Models from Ordering: Identifiable Flow Models AAAI 2025 Linear SCM Identification in the Presence of Confounders and Gaussian Noise ICLR 2025 Nondeterministic Causal Models CLeaR 2025 On Measuring Intrinsic Causal Attributions in Deep Neural Networks CLeaR 2025 On the Identifiability of Causal Abstractions AISTATS 2025 On the Out-of-Distribution Generalization of Self-Supervised Learning ICML 2025 Robust Root Cause Diagnosis using In-Distribution Interventions ICLR 2025 Standardizing Structural Causal Models ICLR 2025