Causal Inference

Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach AAAI 2025 Using Text-Based Causal Inference to Disentangle Factors Influencing Online Review Ratings NAACL 2025 Variational Counterfactual Intervention Planning to Achieve Target Outcomes ICML 2025 VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning EMNLP 2025 Visual Intention Grounding for Egocentric Assistants ICCV 2025 Visual Representation Learning through Causal Intervention for Controllable Image Editing CVPR 2025 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations ICLR 2025 What Are Good Positional Encodings for Directed Graphs? ICLR 2025 When Graph Neural Networks Meet Dynamic Mode Decomposition ICLR 2025 When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach AAAI 2025 When Selection Meets Intervention: Additional Complexities in Causal Discovery ICLR 2025 Where is the Truth? The Risk of Getting Confounded in a Continual World ICML 2025 Where, What, Why: Towards Explainable Driver Attention Prediction ICCV 2025 Zero-Shot Belief: A Hard Problem for LLMs EMNLP 2025 causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery CLeaR 2024 $ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows PGM 2024 $χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains UAI 2024 $Ψ$net: Efficient Causal Modeling at Scale PGM 2024 A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization NAACL 2024 A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing AAAI 2024 Abductive Reasoning in Logical Credal Networks NeurIPS 2024 Abstract-level Deductive Reasoning for Pre-trained Language Models COLING 2024 A/B testing under Interference with Partial Network Information AISTATS 2024 ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation AAAI 2024 A Causal Approach for Counterfactual Reasoning in Narratives ACL 2024