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Causal Inference

3310 directly classified papers

Papers per year

Papers

Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026

CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations AAAI 2026

Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations AAAI 2026

Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation AAAI 2026

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention AAAI 2026

Beyond World Models: Rethinking Understanding in AI Models AAAI 2026

Robust Causal Discovery Under Imperfect Structural Constraints AAAI 2026

The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation AAAI 2026

SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction AAAI 2026

KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education AAAI 2026

The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going? AAAI 2026

Topo-GraT: Learning to Grow with Causal Graph Transformers (Student Abstract) AAAI 2026

Causal-LLM: Towards Predictive and Interpretable Spatiotemporal Foundation Models AAAI 2026

Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Misinformation Engagement on Social Media AAAI 2026

CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos AAAI 2026

MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision AAAI 2026

Expressive Recursive Answers for Ontological Knowledge Bases AAAI 2026

Under-Approximating Semantics in Clustered Assumption-Based Argumentation AAAI 2026

Causal, Strategic, and Combined Responsibility Attribution in Situation Calculus Concurrent Game Structures AAAI 2026

Truth-Tracking Evaluation in Opinion-Based Argumentation AAAI 2026

Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning AAAI 2026

Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning AAAI 2026

Group Causal Policy Optimization for Post-Training Large Language Models AAAI 2026

Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG AAAI 2026

OncoCoT: A Temporal-causal Chain-of-Thought Dataset for Oncologic Decision-Making AAAI 2026