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Publication search results
found 45 matches
- 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 abs/2401.17432 (2024) - Michael Lambert, Evan Patterson:
Representing Knowledge and Querying Data using Double-Functorial Semantics. CoRR abs/2403.19884 (2024) - Owen Lynch, Kristopher Brown, James P. Fairbanks, Evan Patterson:
GATlab: Modeling and Programming with Generalized Algebraic Theories. CoRR abs/2404.04837 (2024) - 2023
- Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks:
Computational category-theoretic rewriting. J. Log. Algebraic Methods Program. 134: 100888 (2023) - Evan Patterson:
Structured and Decorated Cospans from the Viewpoint of Double Category Theory. ACT 2023: 210-225 - 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
- Kristopher Brown, Evan Patterson, Tyler Hanks, James P. Fairbanks:
Computational Category-Theoretic Rewriting. ICGT 2022: 155-172 - John Baez, Xiaoyan Li, Sophie Libkind, Nathaniel Osgood, Evan Patterson:
Compositional Modeling with Stock and Flow Diagrams. ACT 2022: 77-96 - Sophie Libkind, Andrew Baas, Micah Halter, Evan Patterson, James P. Fairbanks:
An Algebraic Framework for Structured Epidemic Modeling. CoRR abs/2203.16345 (2022) - 2021
- Haizi Yu, James A. Evans, Donna Gallo, Adam Kruse, William M. Patterson, Lav R. Varshney:
AI-Aided Co-Creation for Wellbeing. ICCC 2021: 453-456 - Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou:
Contraction ℒ1-Adaptive Control using Gaussian Processes. L4DC 2021: 1027-1040 - Sophie Libkind, Andrew Baas, Evan Patterson, James P. Fairbanks:
Operadic Modeling of Dynamical Systems: Mathematics and Computation. ACT 2021: 192-206 - Evan Patterson, Owen Lynch, James P. Fairbanks:
Categorical Data Structures for Technical Computing. CoRR abs/2106.04703 (2021) - Kristopher Brown, Evan Patterson, James P. Fairbanks:
Double pushout rewriting of C-sets. CoRR abs/2111.03784 (2021) - 2020
- Austin F. Mount-Campbell, Kevin D. Evans, David D. Woods, Esther Chipps, Susan D. Moffatt-Bruce, Kashvi Patel, Emily S. Patterson:
Uncovering the Value of a Historical Paper-Based Collaborative Artifact: The Nursing Unit's Kardex System. Frontiers Digit. Health 2: 12 (2020) - Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter:
Kira: Processing Astronomy Imagery Using Big Data Technology. IEEE Trans. Big Data 6(2): 369-381 (2020) - Jade Master, Evan Patterson, Shahin Yousfi, Arquimedes Canedo:
String Diagrams for Assembly Planning. Diagrams 2020: 167-183 - Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou:
L1-GP: L1 Adaptive Control with Bayesian Learning. L4DC 2020: 826-837 - Evan Patterson, David I. Spivak, Dmitry Vagner:
Wiring diagrams as normal forms for computing in symmetric monoidal categories. ACT 2020: 49-64 - Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou:
$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning. CoRR abs/2004.14594 (2020) - Micah Halter, Evan Patterson, Andrew Baas, James P. Fairbanks:
Compositional Scientific Computing with Catlab and SemanticModels. CoRR abs/2005.04831 (2020) - Evan Patterson:
The algebra and machine representation of statistical models. CoRR abs/2006.08945 (2020) - Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou:
RL1-GP: Safe Simultaneous Learning and Control. CoRR abs/2009.03864 (2020) - 2019
- 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) - Yaniv Romano, Evan Patterson, Emmanuel J. Candès:
Conformalized Quantile Regression. NeurIPS 2019: 3538-3548 - Evan Maicus, Matthew Peveler, Stacy Patterson, Barbara Cutler:
Autograding Distributed Algorithms in Networked Containers. SIGCSE 2019: 133-138 - Palash Goyal, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Jaya Shree, Evan Patterson:
Graph Representation Ensemble Learning. CoRR abs/1909.02811 (2019) - Jade Master, Evan Patterson, Shahin Yousfi, Arquimedes Canedo:
String Diagrams for Assembly Planning. CoRR abs/1909.10475 (2019) - 2018
- Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Semantic Representation of Data Science Programs. IJCAI 2018: 5847-5849
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