Bruno Gavranovic

According to our database, Bruno Gavranovic authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Learning with Parametric Lenses.

Geoffrey S. H. Cruttwell, Bruno Gavranovic, Neil Ghani, Paul W. Wilson, Fabio Zanasi

CoRR, 2024

On a fibrational construction for optics, lenses, and Dialectica categories.

Matteo Capucci, Bruno Gavranovic, Abdullah Malik, Francisco Rios, Jonathan Weinberger

CoRR, 2024

Fundamental Components of Deep Learning: A category-theoretic approach.

Bruno Gavranovic

CoRR, 2024

Categorical Deep Learning: An Algebraic Theory of Architectures.

Bruno Gavranovic, Paul Lessard, Andrew Dudzik, Tamara von Glehn, João G. M. Araújo, Petar Velickovic

CoRR, 2024

Position: Categorical Deep Learning is an Algebraic Theory of All Architectures.

Bruno Gavranovic, Paul Lessard, Andrew Joseph Dudzik, Tamara von Glehn, João Guilherme Madeira Araújo, Petar Velickovic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Graph Convolutional Neural Networks as Parametric CoKleisli morphisms.

Bruno Gavranovic, Mattia Villani

CoRR, 2022

Space-time tradeoffs of lenses and optics via higher category theory.

Bruno Gavranovic

CoRR, 2022

Categorical Foundations of Gradient-Based Learning.

Geoffrey S. H. Cruttwell, Bruno Gavranovic, Neil Ghani, Paul W. Wilson, Fabio Zanasi

Proceedings of the Programming Languages and Systems, 2022

2021

Category Theory in Machine Learning.

Dan Shiebler, Bruno Gavranovic, Paul W. Wilson

CoRR, 2021

Towards Foundations of Categorical Cybernetics.

Matteo Capucci, Bruno Gavranovic, Jules Hedges, Eigil Fjeldgren Rischel

Proceedings of the Fourth International Conference on Applied Category Theory, 2021

2020

Compositional Game Theory, Compositionally.

Robert Atkey, Bruno Gavranovic, Neil Ghani, Clemens Kupke, Jérémy Ledent, Fredrik Nordvall Forsberg

Proceedings of the 3rd Annual International Applied Category Theory Conference 2020, 2020

2019

Learning Functors using Gradient Descent.

Bruno Gavranovic

Proceedings of the Proceedings Applied Category Theory 2019, 2019

Compositional Deep Learning.

Bruno Gavranovic

CoRR, 2019