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Theory

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Papers

CARL: A Framework for Equivariant Image Registration CVPR 2025 Categorical Semantics of Compositional Reinforcement Learning JMLR 2025 CausalGraphBench: a Benchmark for Evaluating Language Models capabilities of Causal Graph discovery ACL 2025 CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models EMNLP 2025 CBMA: Improving Conformal Prediction through Bayesian Model Averaging ICLR 2025 Certified Causal Defense with Generalizable Robustness AAAI 2025 Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step NAACL 2025 CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators ICLR 2025 Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine AAAI 2025 Circuit-Aware d-DNNF Compilation IJCAI 2025 Circuit Complexity Bounds for RoPE-based Transformer Architecture EMNLP 2025 COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks AAAI 2025 Comparing noisy neural population dynamics using optimal transport distances ICLR 2025 Complete Symmetry Breaking for Finite Models AAAI 2025 Comprehensive Review of Neural Differential Equations for Time Series Analysis IJCAI 2025 Computationally Hard Problems Are Hard for QBF Proof Systems Too AAAI 2025 Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025 Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation ICLR 2025 Conflicting Needles in a Haystack: How LLMs behave when faced with contradictory information EMNLP 2025 Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering ICLR 2025 Conformalized Answer Set Prediction for Knowledge Graph Embedding NAACL 2025 Confounding Factors in Relating Model Performance to Morphology EMNLP 2025 Conservative Contextual Bandits: Beyond Linear Representations ICLR 2025 Consistency Checks for Language Model Forecasters ICLR 2025 Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement EMNLP 2025