Reverse Derivative Ascent: A Categorical Approach to Learning Boolean Circuits

26 January 2021

Papers citing "Reverse Derivative Ascent: A Categorical Approach to Learning Boolean Circuits"

7 / 7 papers shown

Title
Deep Learning with Parametric Lenses Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi 33 2 0 30 Mar 2024
Pooling Image Datasets With Multiple Covariate Shift and Imbalance Sotirios Panagiotis Chytas Vishnu Suresh Lokhande Peiran Li Vikas Singh OOD 32 0 0 05 Mar 2024
Categorical Foundations of Explainable AI: A Unifying Theory Pietro Barbiero S. Fioravanti Francesco Giannini Alberto Tonda Pietro Lio' Elena Di Lavore XAI 24 2 0 27 Apr 2023
Categories of Differentiable Polynomial Circuits for Machine Learning Paul W. Wilson Fabio Zanasi 16 6 0 12 Mar 2022
Generalized Optimization: A First Step Towards Category Theoretic Learning Theory Dan Shiebler 27 2 0 20 Sep 2021
Category Theory in Machine Learning Dan Shiebler Bruno Gavranović Paul W. Wilson 19 31 0 13 Jun 2021
Categorical Foundations of Gradient-Based Learning Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi FedML 15 70 0 02 Mar 2021