Daniel Suo

According to our database, Daniel Suo authored at least 9 papers between 2017 and 2023.

Collaborative distances:

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

2023

Spectral State Space Models.

Naman Agarwal, Daniel Suo, Xinyi Chen, Elad Hazan

CoRR, 2023

Benchmarking Neural Network Training Algorithms.

George E. Dahl, Frank Schneider, Zachary Nado, Naman Agarwal, Chandramouli Shama Sastry, Philipp Hennig, Sourabh Medapati, Runa Eschenhagen, Priya Kasimbeg, Daniel Suo, Juhan Bae, Justin Gilmer, Abel L. Peirson, Bilal Khan, Rohan Anil, Mike Rabbat, Shankar Krishnan, Daniel Snider, Ehsan Amid, Kongtao Chen, Chris J. Maddison, Rakshith Vasudev, Michal Badura, Ankush Garg, Peter Mattson

CoRR, 2023

Online Learning for Obstacle Avoidance.

David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar

Proceedings of the Conference on Robot Learning, 2023

2022

Adaptive Gradient Methods at the Edge of Stability.

Jeremy Cohen, Behrooz Ghorbani, Shankar Krishnan, Naman Agarwal, Sourabh Medapati, Michal Badura, Daniel Suo, David Cardoze, Zachary Nado, George E. Dahl, Justin Gilmer

CoRR, 2022

2021

Machine Learning for Mechanical Ventilation Control (Extended Abstract).

Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel J. Cohen, Elad Hazan

CoRR, 2021

Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking.

Paula Gradu, John Hallman, Daniel Suo, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, Elad Hazan

CoRR, 2021

Machine Learning for Mechanical Ventilation Control.

Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel J. Cohen, Elad Hazan

CoRR, 2021

2017

Continual Learning in Generative Adversarial Nets.

Ari Seff, Alex Beatson, Daniel Suo, Han Liu

CoRR, 2017

Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge.

Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017