Daniel Zheng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Diffusion Model

Quadruped Robot

Machine Learning

Top Venues

Proc. ACM Program. Lang.

J. Object Technol.

Publications

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)
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 (2023)
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, Jose 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 (2023)
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)
Dimitri Racordon, Denys Shabalin, Daniel Zheng, Dave Abrahams, Brennan Saeta
Implementation Strategies for Mutable Value Semantics. J. Object Technol. 21 (2) (2022)
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 (2022)
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) (2021)
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 (2021)
Dimitri Racordon, Denys Shabalin, Daniel Zheng, Dave Abrahams, Brennan Saeta
Native Implementation of Mutable Value Semantics. CoRR (2021)
Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Yuxiang Zhou, Alexandre Galashov, Nicolas Heess, Francesco Nori
Learning Dexterous Manipulation from Suboptimal Experts. CoRR (2020)
Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Alexandre Galashov, Nicolas Heess, Francesco Nori
Learning Dexterous Manipulation from Suboptimal Experts. CoRL (2020)
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) (2019)
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)