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Evan Patterson

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2020 – today

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2024
[j5]
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  - journals/compositionality/AduddellFKOPS24
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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)
[j4]
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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)
[c10]
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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]
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  - journals/corr/abs-2401-17432
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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]
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  - journals/corr/abs-2403-19884
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Michael Lambert, Evan Patterson:
Representing Knowledge and Querying Data using Double-Functorial Semantics. CoRR abs/2403.19884 (2024)
[i12]
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  - journals/corr/abs-2404-04837
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Owen Lynch, Kristopher Brown, James P. Fairbanks, Evan Patterson:
GATlab: Modeling and Programming with Generalized Algebraic Theories. CoRR abs/2404.04837 (2024)
[i11]
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  - journals/corr/abs-2406-15961
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Angeline Aguinaldo, Evan Patterson, William Regli:
Automating Transfer of Robot Task Plans using Functorial Data Migrations. CoRR abs/2406.15961 (2024)
2023
[j3]
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  - journals/jlap/BrownPHF23
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Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks:
Computational category-theoretic rewriting. J. Log. Algebraic Methods Program. 134: 100888 (2023)
[c9]
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  - journals/corr/abs-2304-00447
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Evan Patterson:
Structured and Decorated Cospans from the Viewpoint of Double Category Theory. ACT 2023: 210-225
[i10]
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  - journals/corr/abs-2305-17208
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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
[c8]
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  - conf/gg/BrownPHF22
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Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks:
Computational Category-Theoretic Rewriting. ICGT 2022: 155-172
[c7]
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  - journals/corr/abs-2205-08373
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John Baez, Xiaoyan Li, Sophie Libkind, Nathaniel Osgood, Evan Patterson:
Compositional Modeling with Stock and Flow Diagrams. ACT 2022: 77-96
[i9]
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  - journals/corr/abs-2203-16345
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Sophie Libkind, Andrew Baas, Micah Halter, Evan Patterson, James P. Fairbanks:
An Algebraic Framework for Structured Epidemic Modeling. CoRR abs/2203.16345 (2022)
2021
[c6]
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  - journals/corr/abs-2105-12282
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Sophie Libkind, Andrew Baas, Evan Patterson, James P. Fairbanks:
Operadic Modeling of Dynamical Systems: Mathematics and Computation. ACT 2021: 192-206
[i8]
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  - journals/corr/abs-2106-04703
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Evan Patterson, Owen Lynch, James P. Fairbanks:
Categorical Data Structures for Technical Computing. CoRR abs/2106.04703 (2021)
[i7]
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  - journals/corr/abs-2111-03784
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Kristopher Brown, Evan Patterson, James P. Fairbanks:
Double pushout rewriting of C-sets. CoRR abs/2111.03784 (2021)
2020
[c5]
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  - conf/diagrams/MasterPYC20
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Jade Master, Evan Patterson, Shahin Yousfi, Arquimedes Canedo:
String Diagrams for Assembly Planning. Diagrams 2020: 167-183
[c4]
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  - journals/corr/abs-2101-12046
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Evan Patterson, David I. Spivak, Dmitry Vagner:
Wiring diagrams as normal forms for computing in symmetric monoidal categories. ACT 2020: 49-64
[i6]
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  - journals/corr/abs-2005-04831
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Micah Halter, Evan Patterson, Andrew Baas, James P. Fairbanks:
Compositional Scientific Computing with Catlab and SemanticModels. CoRR abs/2005.04831 (2020)
[i5]
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  - journals/corr/abs-2006-08945
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Evan Patterson:
The algebra and machine representation of statistical models. CoRR abs/2006.08945 (2020)

2010 – 2019

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2019
[j2]
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  - journals/aim/BaldiniBCCGGHHK19
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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): 59-66 (2019)
[c3]
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  - conf/nips/RomanoPC19
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Yaniv Romano, Evan Patterson, Emmanuel J. Candès:
Conformalized Quantile Regression. NeurIPS 2019: 3538-3548
[i4]
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  - journals/corr/abs-1909-02811
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Palash Goyal, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Jaya Shree, Evan Patterson:
Graph Representation Ensemble Learning. CoRR abs/1909.02811 (2019)
[i3]
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  - journals/corr/abs-1909-10475
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Jade Master, Evan Patterson, Shahin Yousfi, Arquimedes Canedo:
String Diagrams for Assembly Planning. CoRR abs/1909.10475 (2019)
2018
[c2]
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  - conf/ijcai/PattersonBMV18
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Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Semantic Representation of Data Science Programs. IJCAI 2018: 5847-5849
[i2]
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  - journals/corr/abs-1807-05691
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Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Teaching machines to understand data science code by semantic enrichment of dataflow graphs. CoRR abs/1807.05691 (2018)
2017
[j1]
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  - journals/ibmrd/PattersonMSBMV17
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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): 9:1-9:13 (2017)
[c1]
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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
[i1]
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Evan Patterson:
Knowledge Representation in Bicategories of Relations. CoRR abs/1706.00526 (2017)

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