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2020 – today
- 2024
[c5]Alexander Frömmgen
, Jacob Austin, Peter Choy, Nimesh Ghelani, Lera Kharatyan, Gabriela Surita, Elena Khrapko, Pascal Lamblin, Pierre-Antoine Manzagol, Marcus Revaj, Maxim Tabachnyk, Daniel Tarlow, Kevin Villela, Daniel Zheng, Satish Chandra, Petros Maniatis:
Resolving Code Review Comments with Machine Learning. ICSE-SEIP 2024: 204-215- [c4]Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee:
The Design of the Barkour Benchmark for Robot Agility. IROS 2024: 6818-6825 - [i7]Taylor Applebaum, Sam Blackwell, Alex Davies, Thomas Edlich, András Juhász, Marc Lackenby, Nenad Tomasev, Daniel Zheng:
The unknotting number, hard unknot diagrams, and reinforcement learning. CoRR abs/2409.09032 (2024) - 2023
- [c3]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 - [i6]David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu:
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation. CoRR abs/2303.04248 (2023) - [i5]Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - 2022
- [j3]Dimitri Racordon, Denys Shabalin, Daniel Zheng, Dave Abrahams, Brennan Saeta:
Implementation Strategies for Mutable Value Semantics. J. Object Technol. 21(2): 2:1-11 (2022) - [i4]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) - 2021
- [j2]Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli:
Advancing mathematics by guiding human intuition with AI. Nat. 600(7887): 70-74 (2021) - [i3]Brennan Saeta, Denys Shabalin, Marc Rasi, Brad Larson, Xihui Wu, Parker Schuh, Michelle Casbon, Daniel Zheng, Saleem Abdulrasool, Aleksandr Efremov, Dave Abrahams, Chris Lattner, Richard Wei:
Swift for TensorFlow: A portable, flexible platform for deep learning. CoRR abs/2102.13243 (2021) - [i2]Dimitri Racordon, Denys Shabalin, Daniel Zheng, Dave Abrahams, Brennan Saeta:
Native Implementation of Mutable Value Semantics. CoRR abs/2106.12678 (2021) - 2020
- [c2]Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Alexandre Galashov, Nicolas Heess, Francesco Nori:
Learning Dexterous Manipulation from Suboptimal Experts. CoRL 2020: 915-934 - [i1]Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Yuxiang Zhou, Alexandre Galashov, Nicolas Heess, Francesco Nori:
Learning Dexterous Manipulation from Suboptimal Experts. CoRR abs/2010.08587 (2020)
2010 – 2019
- 2019
- [j1]Fei Wang, Daniel Zheng, James M. Decker, Xilun Wu, Grégory M. Essertel, Tiark Rompf:
Demystifying differentiable programming: shift/reset the penultimate backpropagator. Proc. ACM Program. Lang. 3(ICFP): 96:1-96:31 (2019) - 2018
- [c1]Ben Naismith, Na-Rae Han, Alan Juffs, Brianna Hill, Daniel Zheng:
Accurate Measurement of Lexical Sophistication in ESL with Reference to Learner Data. EDM 2018
Coauthor Index
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