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Will Crichton
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2020 – today
- 2024
- [j4]Will Crichton, Shriram Krishnamurthi:
Profiling Programming Language Learning. Proc. ACM Program. Lang. 8(OOPSLA1): 29-54 (2024) - [j3]Will Crichton, Shriram Krishnamurthi:
A Core Calculus for Documents: Or, Lambda: The Ultimate Document. Proc. ACM Program. Lang. 8(POPL): 667-694 (2024) - [i16]Will Crichton, Shriram Krishnamurthi:
Profiling Programming Language Learning. CoRR abs/2401.01257 (2024) - 2023
- [j2]Will Crichton, Gavin Gray, Shriram Krishnamurthi:
A Grounded Conceptual Model for Ownership Types in Rust. Proc. ACM Program. Lang. 7(OOPSLA2): 1224-1252 (2023) - [c8]Will Crichton:
Typed Design Patterns for the Functional Era. FUNARCH 2023: 40-48 - [d2]Will Crichton, Gavin Gray, Shriram Krishnamurthi:
Artifact for "A Grounded Conceptual Model for Ownership Types in Rust". Zenodo, 2023 - [d1]Will Crichton, Gavin Gray, Shriram Krishnamurthi:
Artifact for "A Grounded Conceptual Model for Ownership Types in Rust". Zenodo, 2023 - [i15]Will Crichton:
Typed Design Patterns for the Functional Era. CoRR abs/2307.07069 (2023) - [i14]Will Crichton, Gavin Gray, Shriram Krishnamurthi:
A Grounded Conceptual Model for Ownership Types in Rust. CoRR abs/2309.04134 (2023) - [i13]Gavin Gray, Will Crichton:
Debugging Trait Errors as Logic Programs. CoRR abs/2309.05137 (2023) - [i12]Will Crichton, Shriram Krishnamurthi:
A Core Calculus for Documents. CoRR abs/2310.04368 (2023) - 2022
- [c7]Will Crichton, Marco Patrignani, Maneesh Agrawala, Pat Hanrahan:
Modular information flow through ownership. PLDI 2022: 1-14 - 2021
- [c6]Will Crichton, Maneesh Agrawala, Pat Hanrahan:
The Role of Working Memory in Program Tracing. CHI 2021: 56:1-56:13 - [c5]James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian:
Analysis of Faces in a Decade of US Cable TV News. KDD 2021: 3011-3021 - [c4]Will Crichton, Georgia Gabriela Sampaio, Pat Hanrahan:
Automating Program Structure Classification. SIGCSE 2021: 1177-1183 - [i11]Will Crichton, Maneesh Agrawala, Pat Hanrahan:
The Role of Working Memory in Program Tracing. CoRR abs/2101.06305 (2021) - [i10]Will Crichton, Georgia Gabriela Sampaio, Pat Hanrahan:
Automating Program Structure Classification. CoRR abs/2101.10087 (2021) - [i9]Will Crichton, Marco Patrignani, Maneesh Agrawala, Pat Hanrahan:
Modular Information Flow Through Ownership. CoRR abs/2111.13662 (2021) - 2020
- [i8]James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian:
Analyzing Who and What Appears in a Decade of US Cable TV News. CoRR abs/2008.06007 (2020) - [i7]Will Crichton:
Documentation Generation as Information Visualization. CoRR abs/2011.05600 (2020) - [i6]Will Crichton:
The Usability of Ownership. CoRR abs/2011.06171 (2020)
2010 – 2019
- 2019
- [c3]Will Crichton:
From Theory to Systems: A Grounded Approach to Programming Language Education. SNAPL 2019: 4:1-4:9 - [c2]Will Crichton:
Human-Centric Program Synthesis. PLATEAU@UIST 2019: 5:1-5:5 - [i5]Anna Zeng, Will Crichton:
Identifying Barriers to Adoption for Rust through Online Discourse. CoRR abs/1901.01001 (2019) - [i4]Will Crichton:
From Theory to Systems: A Grounded Approach to Programming Language Education. CoRR abs/1904.06750 (2019) - [i3]Will Crichton:
Human-Centric Program Synthesis. CoRR abs/1909.12281 (2019) - [i2]Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian:
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels. CoRR abs/1910.02993 (2019) - 2018
- [j1]Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian:
Scanner: efficient video analysis at scale. ACM Trans. Graph. 37(4): 138 (2018) - [c1]Anna Zeng, Will Crichton:
Identifying Barriers to Adoption for Rust through Online Discourse. PLATEAU@SPLASH 2018: 5:1-5:6 - [i1]Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian:
Scanner: Efficient Video Analysis at Scale. CoRR abs/1805.07339 (2018)
Coauthor Index
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