3 papers
eess.SY2026
Quantale-Enriched Co-Design: Toward a Framework for Quantitative Heterogeneous System Design
Hans Riess, Yujun Huang, Matthew Klawonn +2
Monotone co-design enables compositional engineering design by modeling components through feasibility relations between required resources and provided functionalities. However, i…
math.CT2025
Generalized Gradient Descent is a Hypergraph Functor
Tyler Hanks, James Fairbanks, Matthew Klawonn
Cartesian reverse derivative categories (CRDCs) provide an axiomatic generalization of the reverse derivative, which allows generalized analogues of classic optimization algorithms…
cs.LG2025
DiagrammaticLearning: A Graphical Language for Compositional Training Regimes
Mason Lary, Richard Samuelson, Alexander Wilentz +3
Motivated by deep learning regimes with multiple interacting yet distinct model components, we introduce learning diagrams, graphical depictions of training setups that capture par…