collaborators

5 papers

eess.SY2025

Heterogeneous Multi-Agent Multi-Target Tracking using Cellular Sheaves

Tyler Hanks, Cristian F. Nino, Joana Bou Barcelo +3

Multi-agent target tracking in the presence of nonlinear dynamics and agent heterogeneity, where state-space dimensions may differ, is a challenging problem that traditional graph…

math.OC2025

Asynchronous Nonlinear Sheaf Diffusion for Multi-Agent Coordination

Yichen Zhao, Tyler Hanks, Hans Riess +3

Cellular sheaves and sheaf Laplacians provide a far-reaching generalization of graphs and graph Laplacians, resulting in a wide array of applications ranging from machine learning…

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…

math.OC2025

Distributed Multi-agent Coordination over Cellular Sheaves

Tyler Hanks, Hans Riess, Samuel Cohen +3

Techniques for coordination of multi-agent systems are vast and varied, often utilizing purpose-built solvers or controllers with tight coupling to the types of systems involved or…

cs.LO2024

GATlab: Modeling and Programming with Generalized Algebraic Theories

Owen Lynch, Kris Brown, James Fairbanks +1

Categories and categorical structures are increasingly recognized as useful abstractions for modeling in science and engineering. To uniformly implement category-theoretic mathemat…