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2020 – today
- 2023
[c9]David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow:
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions. ICLR 2023- [c8]Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin:
Can Large Language Models Reason about Program Invariants? ICML 2023: 27496-27520 - 2022
- [j1]Kensen Shi
, David Bieber, Rishabh Singh:
TF-Coder: Program Synthesis for Tensor Manipulations. ACM Trans. Program. Lang. Syst. 44(2): 10:1-10:36 (2022) - [i11]David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow:
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions. CoRR abs/2203.03771 (2022) - [i10]David Dohan, Winnie Xu, Aitor Lewkowycz, Jacob Austin, David Bieber, Raphael Gontijo Lopes, Yuhuai Wu, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-Dickstein, Kevin Murphy, Charles Sutton:
Language Model Cascades. CoRR abs/2207.10342 (2022) - [i9]David Bieber, Kensen Shi, Petros Maniatis, Charles Sutton, Vincent J. Hellendoorn, Daniel D. Johnson, Daniel Tarlow:
A Library for Representing Python Programs as Graphs for Machine Learning. CoRR abs/2208.07461 (2022) - 2021
- [c7]Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton, Hanjun Dai:
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration. ICLR 2021 - [c6]Shobha Vasudevan, Wenjie Jiang, David Bieber, Rishabh Singh, Hamid Shojaei, Richard Ho, Charles Sutton:
Learning Semantic Representations to Verify Hardware Designs. NeurIPS 2021: 23491-23504 - [i8]Maxwell I. Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena:
Show Your Work: Scratchpads for Intermediate Computation with Language Models. CoRR abs/2112.00114 (2021) - 2020
- [c5]Vincent J. Hellendoorn, Charles Sutton, Rishabh Singh, Petros Maniatis, David Bieber:
Global Relational Models of Source Code. ICLR 2020 - [c4]Kensen Shi, David Bieber, Charles Sutton:
Incremental Sampling Without Replacement for Sequence Models. ICML 2020: 8785-8795 - [c3]David Bieber, Charles Sutton, Hugo Larochelle, Daniel Tarlow:
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks. NeurIPS 2020 - [i7]Kensen Shi, David Bieber, Charles Sutton:
Incremental Sampling Without Replacement for Sequence Models. CoRR abs/2002.09067 (2020) - [i6]Kensen Shi, David Bieber, Rishabh Singh:
TF-Coder: Program Synthesis for Tensor Manipulations. CoRR abs/2003.09040 (2020) - [i5]Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton:
BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration. CoRR abs/2007.14381 (2020) - [i4]David Bieber, Charles Sutton, Hugo Larochelle, Daniel Tarlow:
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks. CoRR abs/2010.12621 (2020)
2010 – 2019
- 2019
- [c2]Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh:
Neural Program Repair by Jointly Learning to Localize and Repair. ICLR (Poster) 2019 - [i3]Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh:
Neural Program Repair by Jointly Learning to Localize and Repair. CoRR abs/1904.01720 (2019) - [i2]Rui Zhao, David Bieber, Kevin Swersky, Daniel Tarlow:
Neural Networks for Modeling Source Code Edits. CoRR abs/1904.02818 (2019) - 2017
- [c1]Sergio Guadarrama, Ryan Dahl, David Bieber, Jonathon Shlens, Mohammad Norouzi, Kevin Murphy:
PixColor: Pixel Recursive Colorization. BMVC 2017 - [i1]Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy:
PixColor: Pixel Recursive Colorization. CoRR abs/1705.07208 (2017)
Coauthor Index
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