Artificial Intelligence

Causal Composition Diffusion Model for Closed-loop Traffic Generation CVPR 2025 Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning ICLR 2025 Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection ACL 2025 Causal Discovery by Interventions via Integer Programming AAAI 2025 Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles UAI 2025 Causal Discovery from Conditionally Stationary Time Series ICML 2025 Causal discovery in mixed additive noise models AISTATS 2025 Causal Discovery on Dependent Binary Data AISTATS 2025 Causal Discovery via Bayesian Optimization ICLR 2025 Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning ICCV 2025 Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables ICLR 2025 Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments UAI 2025 Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants ICML 2025 Causal Effect of Functional Treatment JMLR 2025 Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation UAI 2025 Causal Estimation of Tokenisation Bias ACL 2025 CausalEval: Towards Better Causal Reasoning in Language Models NAACL 2025 Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract) AAAI 2025 CausalGraph2LLM: Evaluating LLMs for Causal Queries NAACL 2025 Causal Graph based Event Reasoning using Semantic Relation Experts ACL 2025 CausalGraphBench: a Benchmark for Evaluating Language Models capabilities of Causal Graph discovery ACL 2025 Causal Graphical Models for Vision-Language Compositional Understanding ICLR 2025 Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference ICLR 2025 Causal Inference amid Missingness-Specific Independences and Mechanism Shifts UAI 2025 Causal Inference over Visual-Semantic-Aligned Graph for Image Classification AAAI 2025