11 citations · 30 across the 51 of their papers we have counts for
3 papers · 1 filter
Composable Uncertainty in Symmetric Monoidal Categories for Design Problems
Marius Furter, Yujun Huang, Gioele Zardini
Applied category theory often studies symmetric monoidal categories (SMCs) whose morphisms represent open systems. These structures naturally accommodate complex wiring patterns, l…
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…
Composable Uncertainty in Symmetric Monoidal Categories for Design Problems (Extended Version)
Marius Furter, Yujun Huang, Gioele Zardini
Applied category theory often studies symmetric monoidal categories (SMCs) whose morphisms represent open systems. These structures naturally accommodate complex wiring patterns, l…