4 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.LG2024
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
Bruno Gavranović, Paul Lessard, Andrew Dudzik +3
We present our position on the elusive quest for a general-purpose framework for specifying and studying deep learning architectures. Our opinion is that the key attempts made so f…
cs.LG2020★ 2 cited
Learning Functors using Gradient Descent
Bruno Gavranović
Neural networks are a general framework for differentiable optimization which includes many other machine learning approaches as special cases. In this paper we build a category-th…
cs.LG2019★ 4 cited
Compositional Deep Learning
Bruno Gavranović
Neural networks have become an increasingly popular tool for solving many real-world problems. They are a general framework for differentiable optimization which includes many othe…