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category theory

15 papers

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causal model (3) deep learning (2) representation learning (2) causal inference (2) stochastic matrix (1) graph neural network (1) convolutional operator (1) factor of variation (1) convolution operator (1) neural algorithmic reasoning (1)

Papers

One Model to Rule Them All: Canonically Gluing Causal Models Along Shared Substructures UAI 2026 Rethinking AI: From Functions to Functors AAAI 2026 A Category-Theoretic Approach to Neural-Symbolic Task Planning with Bidirectional Search EMNLP 2025 Learning Diagrams: A Graphical Language for Compositional Training Regimes ICLR 2025 The Relativity of Causal Knowledge UAI 2025 Can neural operators always be continuously discretized? NeurIPS 2024 Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory ICLR 2024 Position: Categorical Deep Learning is an Algebraic Theory of All Architectures ICML 2024 A Category-theoretical Meta-analysis of Definitions of Disentanglement ICML 2023 On the Power of Foundation Models ICML 2023 Riemannian Local Mechanism for SPD Neural Networks AAAI 2023 Extracting Mathematical Concepts from Text COLING 2022 Graph Neural Networks are Dynamic Programmers NeurIPS 2022 On the Equivalence of Causal Models: A Category-Theoretic Approach CLeaR 2022 Compositional abstraction error and a category of causal models UAI 2021