2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Clifford Sheaf Neural Networks
Kotaro Kamiya, Joel Nicholls
We introduce the Clifford Sheaf Neural Network (CSNN), an equivariant sheaf neural network for geometric graphs that places a Clifford algebra on each stalk of a cellular sheaf and…
math.CT2025
Accelerating Machine Learning Systems via Category Theory: Applications to Spherical Attention for Gene Regulatory Networks
Vincent Abbott, Kotaro Kamiya, Gerard Glowacki +3
How do we enable artificial intelligence models to improve themselves? This is central to exponentially improving generalized artificial intelligence models, which can improve thei…
math.CT2021★ 2 cited
A category theory framework for Bayesian learning
Kotaro Kamiya, John Welliaveetil
Inspired by the foundational works by Spivak and Fong and Cruttwell et al., we introduce a categorical framework to formalize Bayesian inference and learning. The two key ideas at…