Daniel Zheng

According to our database, Daniel Zheng authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots.

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

CoRR, 2023

TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation.

David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu

CoRR, 2023

Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions.

David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Implementation Strategies for Mutable Value Semantics.

Dimitri Racordon, Denys Shabalin, Daniel Zheng, Dave Abrahams, Brennan Saeta

J. Object Technol., 2022

2021

Advancing mathematics by guiding human intuition with AI.

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

Nat., 2021

Native Implementation of Mutable Value Semantics.

Dimitri Racordon, Denys Shabalin, Daniel Zheng, Dave Abrahams, Brennan Saeta

CoRR, 2021

Swift for TensorFlow: A portable, flexible platform for deep learning.

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

CoRR, 2021

2020

Learning Dexterous Manipulation from Suboptimal Experts.

Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Yuxiang Zhou, Alexandre Galashov, Nicolas Heess, Francesco Nori

CoRR, 2020

Learning Dexterous Manipulation from Suboptimal Experts.

Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Alexandre Galashov, Nicolas Heess, Francesco Nori

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Demystifying differentiable programming: shift/reset the penultimate backpropagator.

Fei Wang, Daniel Zheng, James M. Decker, Xilun Wu, Grégory M. Essertel, Tiark Rompf

Proc. ACM Program. Lang., 2019

2018

Accurate Measurement of Lexical Sophistication in ESL with Reference to Learner Data.

Ben Naismith, Na-Rae Han, Alan Juffs, Brianna Hill, Daniel Zheng

Proceedings of the 11th International Conference on Educational Data Mining, 2018