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2020 – today
- 2023
[c6]Wojciech Nawrocki
, Edward W. Ayers, Gabriel Ebner:
An Extensible User Interface for Lean 4. ITP 2023: 24:1-24:20- [c5]Bartosz Piotrowski, Ramon Fernández Mir, Edward W. Ayers:
Machine-Learned Premise Selection for Lean. TABLEAUX 2023: 175-186 - [i4]Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward W. Ayers, Dragomir Radev, Jeremy Avigad:
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics. CoRR abs/2302.12433 (2023) - [i3]Bartosz Piotrowski, Ramon Fernández Mir, Edward W. Ayers:
Machine-Learned Premise Selection for Lean. CoRR abs/2304.00994 (2023) - 2022
- [c4]Jesse Michael Han, Jason Rute, Yuhuai Wu, Edward W. Ayers, Stanislas Polu:
Proof Artifact Co-Training for Theorem Proving with Language Models. ICLR 2022 - 2021
- [c3]Edward W. Ayers, Mateja Jamnik, William T. Gowers:
A Graphical User Interface Framework for Formal Verification. ITP 2021: 4:1-4:16 - [i2]Jesse Michael Han, Jason Rute, Yuhuai Wu, Edward W. Ayers, Stanislas Polu:
Proof Artifact Co-training for Theorem Proving with Language Models. CoRR abs/2102.06203 (2021) - 2020
- [c2]Edward W. Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside:
PaRoT: A Practical Framework for Robust Deep Neural Network Training. NFM 2020: 63-84 - [i1]Edward W. Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside:
PaRoT: A Practical Framework for Robust Deep Neural Network Training. CoRR abs/2001.02152 (2020)
2010 – 2019
- 2019
- [c1]Edward William Ayers, William T. Gowers, Mateja Jamnik:
A Human-Oriented Term Rewriting System. KI 2019: 76-86
Coauthor Index
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