Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Core AI
Artificial Intelligence
›
Core AI
›
Causal Inference
3310 directly classified papers
Papers per year
2002: 1
2003: 2
2004: 1
2005: 2
2006: 7
2007: 6
2008: 9
2009: 9
2010: 15
2011: 8
2012: 15
2013: 32
2014: 16
2015: 28
2016: 39
2017: 62
2018: 98
2019: 201
2020: 277
2021: 372
2022: 426
2023: 511
2024: 601
2025: 389
2026: 183
Papers
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
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
AAAI 2026
Spatio-Temporal Hierarchical Causal Models
AAAI 2026
Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning
AAAI 2026
Object-Centric World Models for Causality-Aware Reinforcement Learning
AAAI 2026
Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning
AAAI 2026
Expressive Recursive Answers for Ontological Knowledge Bases
AAAI 2026
PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation
AAAI 2026
DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions
AAAI 2026
Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore
AAAI 2026
Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning
AAAI 2026
<
1
2
3
4
5
…
133
>