Search Results for author: James Fairbanks

Found 5 papers, 0 papers with code

Generalized Gradient Descent is a Hypergraph Functor

no code implementations28 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.

Distributed Optimization

A Categorical Representation Language and Computational System for Knowledge-Based Planning

no code implementations26 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.

Knowledge Graphs

Characterizing Compositionality of LQR from the Categorical Perspective

no code implementations2 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.

A compositional account of motifs, mechanisms, and dynamics in biochemical regulatory networks

no code implementations4 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.

Unsupervised Construction of Knowledge Graphs From Text and Code

no code implementations25 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.

Clustering Dimensionality Reduction +3

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