Category Theory in Machine Learning

13 June 2021

Papers citing "Category Theory in Machine Learning"

9 / 9 papers shown

Title
Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Models Ronald Katende AAML 16 0 0 18 Sep 2024
Transport of Algebraic Structure to Latent Embeddings Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi 31 0 0 27 May 2024
Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energy Sean Tull Johannes Kleiner T. S. C. Smithe AI4CE 32 0 0 01 Aug 2023
Categorification of Group Equivariant Neural Networks Edward Pearce-Crump 22 3 0 27 Apr 2023
Computing with Categories in Machine Learning Eli Sennesh T. Xu Yoshihiro Maruyama 26 2 0 07 Mar 2023
Categorical Foundations of Gradient-Based Learning Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi FedML 11 70 0 02 Mar 2021
Reverse Derivative Ascent: A Categorical Approach to Learning Boolean Circuits Paul W. Wilson Fabio Zanasi 36 15 0 26 Jan 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 162 308 0 05 Nov 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016