Evan Patterson

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Semantic Enrichment

Representing Knowledge

Ambrosio Tortorelli

Top Venues

Compositionality

J. Log. Algebraic Methods Program.

Publications

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 (2024)
Owen Lynch, Kristopher Brown, James P. Fairbanks, Evan Patterson
GATlab: Modeling and Programming with Generalized Algebraic Theories. CoRR (2024)
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 (2024)
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 (2024)
Michael Lambert, Evan Patterson
Representing Knowledge and Querying Data using Double-Functorial Semantics. CoRR (2024)
Angeline Aguinaldo, Evan Patterson, William Regli
Automating Transfer of Robot Task Plans using Functorial Data Migrations. CoRR (2024)
Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks
Computational category-theoretic rewriting. J. Log. Algebraic Methods Program. 134 (2023)
Angeline Aguinaldo, Evan Patterson, James P. Fairbanks, Jaime Ruiz
A Categorical Representation Language and Computational System for Knowledge-Based Planning. CoRR (2023)
Evan Patterson
Structured and Decorated Cospans from the Viewpoint of Double Category Theory. ACT (2023)
Sophie Libkind, Andrew Baas, Micah Halter, Evan Patterson, James P. Fairbanks
An Algebraic Framework for Structured Epidemic Modeling. CoRR (2022)
Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks
Computational Category-Theoretic Rewriting. ICGT (2022)
John Baez, Xiaoyan Li, Sophie Libkind, Nathaniel Osgood, Evan Patterson
Compositional Modeling with Stock and Flow Diagrams. CoRR (2022)
Kristopher Brown, Evan Patterson, James P. Fairbanks
Double pushout rewriting of C-sets. CoRR (2021)
Evan Patterson, Owen Lynch, James P. Fairbanks
Categorical Data Structures for Technical Computing. CoRR (2021)
Sophie Libkind, Andrew Baas, Evan Patterson, James P. Fairbanks
Operadic Modeling of Dynamical Systems: Mathematics and Computation. ACT (2021)
Evan Patterson
The algebra and machine representation of statistical models. CoRR (2020)
Evan Patterson, David I. Spivak, Dmitry Vagner
Wiring diagrams as normal forms for computing in symmetric monoidal categories. ACT (2020)
Jade Master, Evan Patterson, Shahin Yousfi, Arquimedes Canedo
String Diagrams for Assembly Planning. Diagrams (2020)
Micah Halter, Evan Patterson, Andrew Baas, James P. Fairbanks
Compositional Scientific Computing with Catlab and SemanticModels. CoRR (2020)
Ioana Baldini, Clark W. Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani H. Gilpin, Knut Hinkelmann, Dylan Holmes, Takashi Kido, Murat Kocaoglu, William F. Lawless, Alessio Lomuscio, Jamie C. Macbeth, Andreas Martin, Ranjeev Mittu, Evan Patterson, Donald Sofge, Prasad Tadepalli, Keiki Takadama, Shomir Wilson
Reports of the AAAI 2019 Spring Symposium Series. AI Mag. 40 (3) (2019)
Yaniv Romano, Evan Patterson, Emmanuel J. Candès
Conformalized Quantile Regression. NeurIPS (2019)
Palash Goyal, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Jaya Shree, Evan Patterson
Graph Representation Ensemble Learning. CoRR (2019)
Jade Master, Evan Patterson, Shahin Yousfi, Arquimedes Canedo
String Diagrams for Assembly Planning. CoRR (2019)
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Teaching machines to understand data science code by semantic enrichment of dataflow graphs. CoRR (2018)
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Semantic Representation of Data Science Programs. IJCAI (2018)
Evan Patterson, Robert N. McBurney, H. Schmidt, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Dataflow representation of data analyses: Toward a platform for collaborative data science. IBM J. Res. Dev. 61 (6) (2017)
Evan Patterson
Knowledge Representation in Bicategories of Relations. CoRR (2017)
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science. AAAI Spring Symposia (2017)