James P. Fairbanks

46 papers A* 1B 5C 1Misc 1Journal 27Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards a Unified Theory of Time-Varying Data. Appl. Categorical Struct. Benjamin Merlin Bumpus, Wilmer Leal, James P. Fairbanks, Martti Karvonen, Frédéric Simard
2025	J	`jnl`	Asynchronous Nonlinear Sheaf Diffusion for Multi-Agent Coordination. CoRR Yichen Zhao, Tyler Hanks, Hans Riess, Samuel Cohen, Matthew T. Hale, James P. Fairbanks
2025	J	`jnl`	DiagrammaticLearning: A Graphical Language for Compositional Training Regimes. CoRR Mason Lary, Richard Samuelson, Alexander Wilentz, Alina Zare, Matthew Klawonn, James P. Fairbanks
2025	—	`conf`	Distributed Multi-Agent Coordination over Cellular Sheaves. CDC Tyler Hanks, Hans Riess, Samuel Cohen, Trevor Gross, Matthew Hale, James P. Fairbanks
2025	J	`jnl`	Distributed Multi-agent Coordination over Cellular Sheaves. CoRR Tyler Hanks, Hans Riess, Samuel Cohen, Trevor Gross, Matthew Hale, James P. Fairbanks
2025	J	`jnl`	Heterogeneous Multi-Agent Multi-Target Tracking using Cellular Sheaves. CoRR Tyler Hanks, Cristian F. Nino, Joana Bou Barcelo, Austin Copeland, Warren E. Dixon, James P. Fairbanks
2025	A*	`conf`	Learning Diagrams: A Graphical Language for Compositional Training Regimes. ICLR Mason Lary, Richard Samuelson, Alexander Wilentz, Alina Zare, Matthew Klawonn, James P. Fairbanks
2025	J	`jnl`	Porous Convection in the Discrete Exterior Calculus with Geometric Multigrid. CoRR Luke Morris, George Rauta, Kevin Carlson, James P. Fairbanks
2024	J	`jnl`	A compositional account of motifs, mechanisms, and dynamics in biochemical regulatory networks. Compositionality Rebekah Aduddell, James P. Fairbanks, Amit Kumar, Pablo S. Ocal, Evan Patterson, Brandon T. Shapiro
2024	J	`jnl`	Decapodes: A Diagrammatic Tool for Representing, Composing, and Computing Spatialized Partial Differential Equations. CoRR Luke Morris, Andrew Baas, Jesus Arias, Maia Gatlin, Evan Patterson, James P. Fairbanks
2024	J	`jnl`	Decapodes: A diagrammatic tool for representing, composing, and computing spatialized partial differential equations. J. Comput. Sci. Luke Morris, Andrew Baas, Jesus Arias, Maia Gatlin, Evan Patterson, James P. Fairbanks
2024	B	`conf`	GATlab: Modeling and Programming with Generalized Algebraic Theories. MFPS Owen Lynch, Kristopher Brown, James P. Fairbanks, Evan Patterson
2024	—	`conf`	Generalized Gradient Descent is a Hypergraph Functor. ACT Tyler Hanks, Matthew Klawonn, James P. Fairbanks
2024	C	`conf`	Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems. ACC Tyler Hanks, Baike She, Evan Patterson, Matthew Hale, Matthew Klawonn, James P. Fairbanks
2024	J	`jnl`	Pushing Tree Decompositions Forward Along Graph Homomorphisms. CoRR Benjamin Merlin Bumpus, James P. Fairbanks, Will J. Turner
2024	J	`jnl`	Towards a Unified Theory of Time-Varying Data. CoRR Benjamin Merlin Bumpus, James P. Fairbanks, Martti Karvonen, Wilmer Leal, Frédéric Simard
2023	J	`jnl`	A Categorical Representation Language and Computational System for Knowledge-Based Planning. CoRR Angeline Aguinaldo, Evan Patterson, James P. Fairbanks, Jaime Ruiz
2023	—	`conf`	Characterizing Compositionality of LQR from the Categorical Perspective. CDC Baike She, Tyler Hanks, James P. Fairbanks, Matthew Hale
2023	J	`jnl`	Characterizing Compositionality of LQR from the Categorical Perspective. CoRR Baike She, Tyler Hanks, James P. Fairbanks, Matthew T. Hale
2023	J	`jnl`	Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves. CoRR Ernst Althaus, Benjamin Merlin Bumpus, James P. Fairbanks, Daniel Rosiak
2023	J	`jnl`	Computational category-theoretic rewriting. J. Log. Algebraic Methods Program. Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks
2023	J	`jnl`	The application of applied category theory to quantify mission success. Simul. Robert K. Garrett Jr., James P. Fairbanks, Margaret L. Loper, James D. Moreland Jr.
2022	J	`jnl`	An Algebraic Framework for Structured Epidemic Modeling. CoRR Sophie Libkind, Andrew Baas, Micah Halter, Evan Patterson, James P. Fairbanks
2022	J	`jnl`	Categorical Data Structures for Technical Computing. Compositionality Evan Patterson, Owen Lynch, James P. Fairbanks
2022	J	`jnl`	Compositional Exploration of Combinatorial Scientific Models. CoRR Kristopher Brown, Tyler Hanks, James P. Fairbanks
2022	B	`conf`	Computational Category-Theoretic Rewriting. ICGT Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks
2021	J	`jnl`	Categorical Data Structures for Technical Computing. CoRR Evan Patterson, Owen Lynch, James P. Fairbanks
2021	J	`jnl`	Double pushout rewriting of C-sets. CoRR Kristopher Brown, Evan Patterson, James P. Fairbanks
2021	—	`conf`	Operadic Modeling of Dynamical Systems: Mathematics and Computation. ACT Sophie Libkind, Andrew Baas, Evan Patterson, James P. Fairbanks
2020	J	`jnl`	Compositional Scientific Computing with Catlab and SemanticModels. CoRR Micah Halter, Evan Patterson, Andrew Baas, James P. Fairbanks
2019	—	`conf`	A Compositional Framework for Scientific Model Augmentation. ACT Micah Halter, Christine Herlihy, James P. Fairbanks
2019	—	`conf`	Credibility Development with Knowledge Graphs. MISDOOM James P. Fairbanks, Natalie Fitch, Franklin Bradfield, Erica Briscoe
2019	J	`jnl`	Unsupervised Construction of Knowledge Graphs From Text and Code. CoRR Kun Cao, James P. Fairbanks
2018	—	`conf`	Performance Effects of Dynamic Graph Data Structures in Community Detection Algorithms. HPEC Rohit Varkey Thankachan, Brian Paul Swenson, James P. Fairbanks
2017	—	`conf`	Deriving Streaming Graph Algorithms from Static Definitions. IPDPS Workshops David Ediger, James P. Fairbanks
2017	Misc	`conf`	Graph Ranking Guarantees for Numerical Approximations to Katz Centrality. ICCS Eisha Nathan, Geoffrey Sanders, James P. Fairbanks, Van Emden Henson, David A. Bader
2017	—	`conf`	Integrating productivity-oriented programming languages with high-performance data structures. HPEC Rohit Varkey Thankachan, Eric R. Hein, Brian Paul Swenson, James P. Fairbanks
2017	—	`conf`	Ranking in Dynamic Graphs Using Exponential Centrality. COMPLEX NETWORKS Eisha Nathan, James P. Fairbanks, David A. Bader
2017	J	`jnl`	Spectral partitioning with blends of eigenvectors. J. Complex Networks James P. Fairbanks, David A. Bader, Geoffrey D. Sanders
2016	B	`conf`	A local measure of community change in dynamic graphs. ASONAM Anita Zakrzewska, Eisha Nathan, James P. Fairbanks, David A. Bader
2016	—	`—`	Graph analysis combining numerical, statistical, and streaming techniques. James P. Fairbanks
2016	B	`conf`	New stopping criteria for spectral partitioning. ASONAM James P. Fairbanks, Anita Zakrzewska, David A. Bader
2015	J	`jnl`	Behavioral clusters in dynamic graphs. Parallel Comput. James P. Fairbanks, Ramakrishnan Kannan, Haesun Park, David A. Bader
2015	J	`jnl`	Spectral Partitioning with Blends of Eigenvectors. CoRR James P. Fairbanks, Geoffrey D. Sanders, David A. Bader
2013	B	`conf`	A statistical framework for streaming graph analysis. ASONAM James P. Fairbanks, David Ediger, Robert McColl, David A. Bader, Eric Gilbert
2011	J	`jnl`	A Ramsey Theorem for Indecomposable Matchings. Electron. J. Comb. James P. Fairbanks