no code implementations • 28 Mar 2024 • Tyler Hanks, Matthew Klawonn, James Fairbanks
In this paper, we show that generalized gradient descent with respect to a given CRDC induces a hypergraph functor from a hypergraph category of optimization problems to a hypergraph category of dynamical systems.
no code implementations • 26 May 2023 • Angeline Aguinaldo, Evan Patterson, James Fairbanks, William Regli, Jaime Ruiz
We show that our proposed representation has advantages over the classical representation in terms of handling implicit preconditions and effects, and provides a more structured framework in which to model and solve planning problems.
no code implementations • 2 May 2023 • Baike She, Tyler Hanks, James Fairbanks, Matthew Hale
Then we develop new sufficient conditions to guarantee that the LQR designed for a composite system is equal to the LQR attained through composition of LQRs for its subsystems.
no code implementations • 4 Jan 2023 • Rebekah Aduddell, James Fairbanks, Amit Kumar, Pablo S. Ocal, Evan Patterson, Brandon T. Shapiro
Turning to quantitative models, we associate a regulatory network with a Lotka-Volterra system of differential equations, defining a functor from the category of signed graphs to a category of parameterized dynamical systems.
no code implementations • 25 Aug 2019 • Kun Cao, James Fairbanks
We take advantage of this specificity by presenting a novel process for joint clustering text concepts that combines word-embeddings, nonlinear dimensionality reduction, and clustering techniques to assist in understanding, organizing, and comparing software in the open science ecosystem.