Artificial Intelligence › Core AI ›

Causal Inference

3310 directly classified papers

Papers per year

Papers

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026

NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework AAAI 2026

ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction AAAI 2026

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

DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT AAAI 2026

Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation AAAI 2026

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

Beyond Single Transactions: D-EMAML---Dual-Edge Motif Neural Networks for Enhanced Anti-Money Laundering Detection AAAI 2026

Do LLMs Really Struggle at NL-FOL Translation? Revealing Their Strengths via a Novel Benchmarking Strategy AAAI 2026

Causal Discovery from Interval-Based Event Sequences AAAI 2026

Where Norms and References Collide: Evaluating LLMs on Normative Reasoning AAAI 2026

CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026

OrcheCause Agent: From Textual Knowledge to End-to-End Causal Inference AAAI 2026

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

Eliciting Causal Knowledge from Agents AAAI 2026

Discovering Linear Non-Gaussian Models for All Categories of Missing Data (Student Abstract) AAAI 2026

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

Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure AAAI 2026

Counterfactual Planning for Generalizable Agents’ Actions AAAI 2026

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

COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series AAAI 2026

Experimentation on Endogenous Graphs AAAI 2026

GAHMN: A Generative Approach for High-Dimensional Mediation Analysis AAAI 2026

Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups AAAI 2026

FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026