Daniel Suo

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 11

Top Topics

Obstacle Avoidance

Steepest Ascent

Top Venues

Publications

David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
Online Learning for Obstacle Avoidance. CoRR (2023)
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
Benchmarking Neural Network Training Algorithms. CoRR (2023)
Naman Agarwal, Daniel Suo, Xinyi Chen, Elad Hazan
Spectral State Space Models. CoRR (2023)
David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
Online Learning for Obstacle Avoidance. CoRL (2023)
Jeremy M. Cohen, Behrooz Ghorbani, Shankar Krishnan, Naman Agarwal, Sourabh Medapati, Michal Badura, Daniel Suo, David Cardoze, Zachary Nado, George E. Dahl, Justin Gilmer
Adaptive Gradient Methods at the Edge of Stability. CoRR (2022)
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
Machine Learning for Mechanical Ventilation Control. CoRR (2021)
Paula Gradu, John Hallman, Daniel Suo, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, Elad Hazan
Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking. CoRR (2021)
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
Machine Learning for Mechanical Ventilation Control (Extended Abstract). CoRR (2021)
Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao
Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge. ICRA (2017)
Ari Seff, Alex Beatson, Daniel Suo, Han Liu
Continual Learning in Generative Adversarial Nets. CoRR (2017)
Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge. CoRR (2016)