Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science. - Evan Patterson; Ioana Baldini; Aleksandra Mojsilovic; Kush R. Varshney (AAAI Spring Symposia, 2017)

Knowledge Representation in Bicategories of Relations. - Evan Patterson (CoRR, 2017)

Dataflow representation of data analyses: Toward a platform for collaborative data science. - Evan Patterson; Robert N. McBurney; H. Schmidt; Ioana Baldini; Aleksandra Mojsilovic; Kush R. Varshney (IBM J. Res. Dev., 2017)

Semantic Representation of Data Science Programs. - Evan Patterson; Ioana Baldini; Aleksandra Mojsilovic; Kush R. Varshney (IJCAI, 2018)

Teaching machines to understand data science code by semantic enrichment of dataflow graphs. - Evan Patterson; Ioana Baldini; Aleksandra Mojsilovic; Kush R. Varshney (CoRR, 2018)

Conformalized Quantile Regression. - Yaniv Romano; Evan Patterson; Emmanuel J. Candès (NeurIPS, 2019)

Reports of the AAAI 2019 Spring Symposium Series. - 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; et al. (AI Mag., 2019)

Graph Representation Ensemble Learning. - Palash Goyal; Di Huang; Sujit Rokka Chhetri; Arquimedes Canedo; Jaya Shree; Evan Patterson (CoRR, 2019)

String Diagrams for Assembly Planning. - Jade Master; Evan Patterson; Shahin Yousfi; Arquimedes Canedo (Diagrams, 2020)

Compositional Scientific Computing with Catlab and SemanticModels. - Micah Halter; Evan Patterson; Andrew Baas; James P. Fairbanks (CoRR, 2020)

The algebra and machine representation of statistical models. - Evan Patterson (CoRR, 2020)

Wiring diagrams as normal forms for computing in symmetric monoidal categories. - Evan Patterson; David I. Spivak; Dmitry Vagner (ACT, 2020)

Operadic Modeling of Dynamical Systems: Mathematics and Computation. - Sophie Libkind; Andrew Baas; Evan Patterson; James P. Fairbanks (ACT, 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 (Compositionality, 2022)

An Algebraic Framework for Structured Epidemic Modeling. - Sophie Libkind; Andrew Baas; Micah Halter; Evan Patterson; James P. Fairbanks (CoRR, 2022)

Compositional Modeling with Stock and Flow Diagrams. - John Baez; Xiaoyan Li; Sophie Libkind; Nathaniel Osgood; Evan Patterson (ACT, 2022)

Structured and Decorated Cospans from the Viewpoint of Double Category Theory. - Evan Patterson (ACT, 2023)

A Categorical Representation Language and Computational System for Knowledge-Based Planning. - Angeline Aguinaldo; Evan Patterson; James P. Fairbanks; Jaime Ruiz (CoRR, 2023)

Computational category-theoretic rewriting. - Kristopher Brown; Evan Patterson; Tyler Hanks; James P. Fairbanks (J. Log. Algebraic Methods Program., 2023)

Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems. - Tyler Hanks; Baike She; Evan Patterson; Matthew Hale 001; Matthew Klawonn; James P. Fairbanks (ACC, 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)

Representing Knowledge and Querying Data using Double-Functorial Semantics. - Michael Lambert; Evan Patterson (CoRR, 2024)

GATlab: Modeling and Programming with Generalized Algebraic Theories. - Owen Lynch; Kristopher Brown; James P. Fairbanks; Evan Patterson (CoRR, 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)

Visualizing the Dynamics of Neuroevolution with Genetic Distance Projections. - Evan Patterson; Joshua Karns; Zimeng Lyu; Travis Desell (GECCO, 2025)

Automating Transfer of Robot Task Plans Using Functorial Data Migrations. - Angeline Aguinaldo; Evan Patterson; William Regli (IEEE Trans Autom. Sci. Eng., 2025)