causal modeling

Eliciting Causal Knowledge from Agents AAAI 2026 Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Misinformation Engagement on Social Media AAAI 2026 ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias AAAI 2026 CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing AAAI 2025 THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction EMNLP 2025 Causal Modeling with Stationary Diffusions AISTATS 2024 CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024 Discovering Agents (Abstract Reprint) AAAI 2024 Learning 1D Causal Visual Representation with De-focus Attention Networks NeurIPS 2024 Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios NAACL 2024 Learning Domain-Agnostic Representation for Disease Diagnosis ICLR 2023 Explainability Via Causal Self-Talk NeurIPS 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling NeurIPS 2022 Combining Reinforcement Learning and Causal Models for Robotics Applications IJCAI 2021 Explainable Agency in Reinforcement Learning Agents AAAI 2020 Joint Causal Inference from Multiple Contexts JMLR 2020 MeDIL: A Python Package for Causal Modelling PGM 2020 Achieving Causal Fairness through Generative Adversarial Networks IJCAI 2019 The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data NeurIPS 2019 Three-quarter Sibling Regression for Denoising Observational Data IJCAI 2019 Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016 Curriculum Learning of Bayesian Network Structures ACML 2015