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James P. Fairbanks
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2020 – today
- 2024
- [j7]Rebekah Aduddell, James P. Fairbanks, Amit Kumar, Pablo S. Ocal, Evan Patterson, Brandon T. Shapiro:
A compositional account of motifs, mechanisms, and dynamics in biochemical regulatory networks. Compositionality 6: 2 (2024) - [j6]Luke Morris, Andrew Baas, Jesus Arias, Maia Gatlin, Evan Patterson, James P. Fairbanks:
Decapodes: A diagrammatic tool for representing, composing, and computing spatialized partial differential equations. J. Comput. Sci. 81: 102345 (2024) - [c14]Tyler Hanks, Baike She, Evan Patterson, Matthew T. Hale, Matthew Klawonn, James P. Fairbanks:
Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems. ACC 2024: 4850-4857 - [i14]Luke Morris, Andrew Baas, Jesus Arias, Maia Gatlin, Evan Patterson, James P. Fairbanks:
Decapodes: A Diagrammatic Tool for Representing, Composing, and Computing Spatialized Partial Differential Equations. CoRR abs/2401.17432 (2024) - [i13]Benjamin Merlin Bumpus, James P. Fairbanks, Martti Karvonen, Wilmer Leal, Frédéric Simard:
Towards a Unified Theory of Time-Varying Data. CoRR abs/2402.00206 (2024) - [i12]Tyler Hanks, Matthew Klawonn, James P. Fairbanks:
Generalized Gradient Descent is a Hypergraph Functor. CoRR abs/2403.19845 (2024) - [i11]Owen Lynch, Kristopher Brown, James P. Fairbanks, Evan Patterson:
GATlab: Modeling and Programming with Generalized Algebraic Theories. CoRR abs/2404.04837 (2024) - [i10]Benjamin Merlin Bumpus, James P. Fairbanks, Will J. Turner:
Pushing Tree Decompositions Forward Along Graph Homomorphisms. CoRR abs/2408.15184 (2024) - 2023
- [j5]Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks:
Computational category-theoretic rewriting. J. Log. Algebraic Methods Program. 134: 100888 (2023) - [j4]Robert K. Garrett Jr., James P. Fairbanks, Margaret L. Loper, James D. Moreland Jr.:
The application of applied category theory to quantify mission success. Simul. 99(2): 201-220 (2023) - [c13]Baike She, Tyler Hanks, James P. Fairbanks, Matthew T. Hale:
Characterizing Compositionality of LQR from the Categorical Perspective. CDC 2023: 1680-1685 - [i9]Ernst Althaus, Benjamin Merlin Bumpus, James P. Fairbanks, Daniel Rosiak:
Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves. CoRR abs/2302.05575 (2023) - [i8]Baike She, Tyler Hanks, James P. Fairbanks, Matthew T. Hale:
Characterizing Compositionality of LQR from the Categorical Perspective. CoRR abs/2305.01811 (2023) - [i7]Angeline Aguinaldo, Evan Patterson, James P. Fairbanks, Jaime Ruiz:
A Categorical Representation Language and Computational System for Knowledge-Based Planning. CoRR abs/2305.17208 (2023) - 2022
- [c12]Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks:
Computational Category-Theoretic Rewriting. ICGT 2022: 155-172 - [i6]Sophie Libkind, Andrew Baas, Micah Halter, Evan Patterson, James P. Fairbanks:
An Algebraic Framework for Structured Epidemic Modeling. CoRR abs/2203.16345 (2022) - [i5]Kristopher Brown, Tyler Hanks, James P. Fairbanks:
Compositional Exploration of Combinatorial Scientific Models. CoRR abs/2206.08755 (2022) - 2021
- [c11]Sophie Libkind, Andrew Baas, Evan Patterson, James P. Fairbanks:
Operadic Modeling of Dynamical Systems: Mathematics and Computation. ACT 2021: 192-206 - [i4]Evan Patterson, Owen Lynch, James P. Fairbanks:
Categorical Data Structures for Technical Computing. CoRR abs/2106.04703 (2021) - [i3]Kristopher Brown, Evan Patterson, James P. Fairbanks:
Double pushout rewriting of C-sets. CoRR abs/2111.03784 (2021) - 2020
- [i2]Micah Halter, Evan Patterson, Andrew Baas, James P. Fairbanks:
Compositional Scientific Computing with Catlab and SemanticModels. CoRR abs/2005.04831 (2020)
2010 – 2019
- 2019
- [c10]James P. Fairbanks, Natalie Fitch, Franklin Bradfield, Erica Briscoe:
Credibility Development with Knowledge Graphs. MISDOOM 2019: 33-47 - [c9]Micah Halter, Christine Herlihy, James P. Fairbanks:
A Compositional Framework for Scientific Model Augmentation. ACT 2019: 172-182 - 2018
- [c8]Rohit Varkey Thankachan, Brian Paul Swenson, James P. Fairbanks:
Performance Effects of Dynamic Graph Data Structures in Community Detection Algorithms. HPEC 2018: 1-7 - 2017
- [j3]James P. Fairbanks, David A. Bader, Geoffrey D. Sanders:
Spectral partitioning with blends of eigenvectors. J. Complex Networks 5(4): 551-580 (2017) - [c7]Eisha Nathan, James P. Fairbanks, David A. Bader:
Ranking in Dynamic Graphs Using Exponential Centrality. COMPLEX NETWORKS 2017: 378-389 - [c6]Rohit Varkey Thankachan, Eric R. Hein, Brian Paul Swenson, James P. Fairbanks:
Integrating productivity-oriented programming languages with high-performance data structures. HPEC 2017: 1-8 - [c5]Eisha Nathan, Geoffrey Sanders, James P. Fairbanks, Van Emden Henson, David A. Bader:
Graph Ranking Guarantees for Numerical Approximations to Katz Centrality. ICCS 2017: 68-78 - [c4]David Ediger, James P. Fairbanks:
Deriving Streaming Graph Algorithms from Static Definitions. IPDPS Workshops 2017: 637-642 - 2016
- [b1]James P. Fairbanks:
Graph analysis combining numerical, statistical, and streaming techniques. Georgia Institute of Technology, Atlanta, GA, USA, 2016 - [c3]James P. Fairbanks, Anita Zakrzewska, David A. Bader:
New stopping criteria for spectral partitioning. ASONAM 2016: 25-32 - [c2]Anita Zakrzewska, Eisha Nathan, James P. Fairbanks, David A. Bader:
A local measure of community change in dynamic graphs. ASONAM 2016: 349-353 - 2015
- [j2]James P. Fairbanks, Ramakrishnan Kannan, Haesun Park, David A. Bader:
Behavioral clusters in dynamic graphs. Parallel Comput. 47: 38-50 (2015) - [i1]James P. Fairbanks, Geoffrey D. Sanders, David A. Bader:
Spectral Partitioning with Blends of Eigenvectors. CoRR abs/1510.04658 (2015) - 2013
- [c1]James P. Fairbanks, David Ediger, Robert McColl, David A. Bader, Eric Gilbert:
A statistical framework for streaming graph analysis. ASONAM 2013: 341-347 - 2011
- [j1]James P. Fairbanks:
A Ramsey Theorem for Indecomposable Matchings. Electron. J. Comb. 18(1) (2011)
Coauthor Index
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last updated on 2024-11-26 20:43 CET by the dblp team
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