1 citations · 2 across the 6 of their papers we have counts for
7 papers
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…
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…
A Compositional Framework for First-Order Optimization
Tyler Hanks, Matthew Klawonn, Evan Patterson +2
Optimization decomposition methods are a fundamental tool to develop distributed solution algorithms for large scale optimization problems arising in fields such as machine learnin…
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…
Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems
Tyler Hanks, Baike She, Matthew Hale +3
Model predictive control (MPC) is an optimal control technique which involves solving a sequence of constrained optimization problems across a given time horizon. In this paper, we…
Exploiting Class Learnability in Noisy Data
Matthew Klawonn, Eric Heim, James Hendler
In many domains, collecting sufficient labeled training data for supervised machine learning requires easily accessible but noisy sources, such as crowdsourcing services or tagged…
Generating Triples with Adversarial Networks for Scene Graph Construction
Matthew Klawonn, Eric Heim
Driven by successes in deep learning, computer vision research has begun to move beyond object detection and image classification to more sophisticated tasks like image captioning…