James P. Fairbanks

According to our database, James P. Fairbanks authored at least 32 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Decapodes: A diagrammatic tool for representing, composing, and computing spatialized partial differential equations.

Luke Morris, Andrew Baas, Jesus Arias, Maia Gatlin, Evan Patterson, James P. Fairbanks

J. Comput. Sci., 2024

Pushing Tree Decompositions Forward Along Graph Homomorphisms.

Benjamin Merlin Bumpus, James P. Fairbanks, Will J. Turner

CoRR, 2024

GATlab: Modeling and Programming with Generalized Algebraic Theories.

Owen Lynch, Kristopher Brown, James P. Fairbanks, Evan Patterson

CoRR, 2024

Generalized Gradient Descent is a Hypergraph Functor.

Tyler Hanks, Matthew Klawonn, James P. Fairbanks

CoRR, 2024

Towards a Unified Theory of Time-Varying Data.

Benjamin Merlin Bumpus, James P. Fairbanks, Martti Karvonen, Wilmer Leal, Frédéric Simard

CoRR, 2024

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

Rebekah Aduddell, James P. Fairbanks, Amit Kumar, Pablo S. Ocal, Evan Patterson, Brandon T. Shapiro

Compositionality, 2024

Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems.

Tyler Hanks, Baike She, Evan Patterson, Matthew T. Hale, Matthew Klawonn, James P. Fairbanks

Proceedings of the American Control Conference, 2024

2023

Computational category-theoretic rewriting.

Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks

J. Log. Algebraic Methods Program., August, 2023

The application of applied category theory to quantify mission success.

Robert K. Garrett Jr., James P. Fairbanks, Margaret L. Loper, James D. Moreland Jr.

Simul., February, 2023

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

Angeline Aguinaldo, Evan Patterson, James P. Fairbanks, Jaime Ruiz

CoRR, 2023

Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves.

Ernst Althaus, Benjamin Merlin Bumpus, James P. Fairbanks, Daniel Rosiak

CoRR, 2023

Characterizing Compositionality of LQR from the Categorical Perspective.

Baike She, Tyler Hanks, James P. Fairbanks, Matthew T. Hale

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Compositional Exploration of Combinatorial Scientific Models.

Kristopher Brown, Tyler Hanks, James P. Fairbanks

CoRR, 2022

An Algebraic Framework for Structured Epidemic Modeling.

Sophie Libkind, Andrew Baas, Micah Halter, Evan Patterson, James P. Fairbanks

CoRR, 2022

2021

Double pushout rewriting of C-sets.

Kristopher Brown, Evan Patterson, James P. Fairbanks

CoRR, 2021

Categorical Data Structures for Technical Computing.

Evan Patterson, Owen Lynch, James P. Fairbanks

CoRR, 2021

Operadic Modeling of Dynamical Systems: Mathematics and Computation.

Sophie Libkind, Andrew Baas, Evan Patterson, James P. Fairbanks

Proceedings of the Fourth International Conference on Applied Category Theory, 2021

2020

Compositional Scientific Computing with Catlab and SemanticModels.

Micah Halter, Evan Patterson, Andrew Baas, James P. Fairbanks

CoRR, 2020

2019

A Compositional Framework for Scientific Model Augmentation.

Micah Halter, Christine Herlihy, James P. Fairbanks

Proceedings of the Proceedings Applied Category Theory 2019, 2019

Credibility Development with Knowledge Graphs.

James P. Fairbanks, Natalie Fitch, Franklin Bradfield, Erica Briscoe

Proceedings of the Disinformation in Open Online Media, 2019

2018

Performance Effects of Dynamic Graph Data Structures in Community Detection Algorithms.

Rohit Varkey Thankachan, Brian Paul Swenson, James P. Fairbanks

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

2017

Spectral partitioning with blends of eigenvectors.

James P. Fairbanks, David A. Bader, Geoffrey D. Sanders

J. Complex Networks, 2017

Deriving Streaming Graph Algorithms from Static Definitions.

David Ediger, James P. Fairbanks

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Graph Ranking Guarantees for Numerical Approximations to Katz Centrality.

Eisha Nathan, Geoffrey Sanders, James P. Fairbanks, Van Emden Henson, David A. Bader

Proceedings of the International Conference on Computational Science, 2017

Integrating productivity-oriented programming languages with high-performance data structures.

Rohit Varkey Thankachan, Eric R. Hein, Brian Paul Swenson, James P. Fairbanks

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Ranking in Dynamic Graphs Using Exponential Centrality.

Eisha Nathan, James P. Fairbanks, David A. Bader

Proceedings of the Complex Networks & Their Applications VI, 2017

2016

Graph analysis combining numerical, statistical, and streaming techniques.

James P. Fairbanks

PhD thesis, 2016

A local measure of community change in dynamic graphs.

Anita Zakrzewska, Eisha Nathan, James P. Fairbanks, David A. Bader

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

New stopping criteria for spectral partitioning.

James P. Fairbanks, Anita Zakrzewska, David A. Bader

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Behavioral clusters in dynamic graphs.

James P. Fairbanks, Ramakrishnan Kannan, Haesun Park, David A. Bader

Parallel Comput., 2015

2013

A statistical framework for streaming graph analysis.

James P. Fairbanks, David Ediger, Robert McColl, David A. Bader, Eric Gilbert

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2011

A Ramsey Theorem for Indecomposable Matchings.

James P. Fairbanks

Electron. J. Comb., 2011