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Causal Inference

523 directly classified papers

Papers per year

Papers

Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis WACV 2025
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness EMNLP 2025
R2A-TLS: Reflective Retrieval-Augmented Timeline Summarization with Causal-Semantic Integration EMNLP 2025
A Practical Approach to Causal Inference over Time AAAI 2025
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference CVPR 2025
Cross-modal Causal Relation Alignment for Video Question Grounding CVPR 2025
Debiased Multimodal Understanding for Human Language Sequences AAAI 2025
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement AAAI 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025
Federated Causally Invariant Feature Learning AAAI 2025
Learning Structural Causal Models from Ordering: Identifiable Flow Models AAAI 2025
The Missing Cause: An Analysis of Causal Attributions in Reporting on Palestine COLING 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization AAAI 2025
FIND: A Framework for Discovering Formulas in Data AAAI 2025
Causally Consistent Normalizing Flow AAAI 2025
Fairness-Accuracy Trade-Offs: A Causal Perspective AAAI 2025
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies AAAI 2025
Mediation Analysis for Probabilities of Causation AAAI 2025
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects AAAI 2025
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024
Causal Contrastive Learning for Counterfactual Regression Over Time NIPS 2024
When Causal Inference Meets Graph Machine Learning AAAI 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model AAAI 2024
Neural Causal Abstractions AAAI 2024