Reasoning

On the Unlikelihood of D-Separation PGM 2024 Optimal Kernel Choice for Score Function-based Causal Discovery ICML 2024 Optimal Transport for Structure Learning Under Missing Data ICML 2024 Optimised Storage for Datalog Reasoning AAAI 2024 Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting AAAI 2024 Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism ACML 2024 Ordering-Based Causal Discovery for Linear and Nonlinear Relations NeurIPS 2024 Out-of-Distribution Detection With Logical Reasoning WACV 2024 Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics NeurIPS 2024 PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering ACL 2024 PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs ICML 2024 PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes EMNLP 2024 Plausible Extractive Rationalization through Semi-Supervised Entailment Signal ACL 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024 Policy Learning for Localized Interventions from Observational Data AISTATS 2024 Position: Is machine learning good or bad for the natural sciences? ICML 2024 Position: The Causal Revolution Needs Scientific Pragmatism ICML 2024 Pragmatic Norms Are All You Need – Why The Symbol Grounding Problem Does Not Apply to LLMs EMNLP 2024 Prediction-powered Generalization of Causal Inferences ICML 2024 Predictive Coding beyond Correlations ICML 2024 Primal Grammars Driven Automated Induction IJCAI 2024 Probabilities of Causation for Continuous and Vector Variables UAI 2024 Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024 PROC2PDDL: Open-Domain Planning Representations from Texts ACL 2024 Products, Abstractions and Inclusions of Causal Spaces UAI 2024