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Daniel Suo
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2020 – today
- 2024
- [i10]Naman Agarwal, Xinyi Chen, Evan Dogariu, Vladimir Feinberg, Daniel Suo, Peter L. Bartlett, Elad Hazan:
FutureFill: Fast Generation from Convolutional Sequence Models. CoRR abs/2410.03766 (2024) - 2023
- [b1]Daniel Suo:
Scaling Machine Learning in Practice. Princeton University, USA, 2023 - [c2]David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar:
Online Learning for Obstacle Avoidance. CoRL 2023: 2926-2954 - [i9]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 abs/2306.07179 (2023) - [i8]David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar:
Online Learning for Obstacle Avoidance. CoRR abs/2306.08776 (2023) - [i7]Naman Agarwal, Daniel Suo, Xinyi Chen, Elad Hazan:
Spectral State Space Models. CoRR abs/2312.06837 (2023) - 2022
- [i6]Jeremy 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 abs/2207.14484 (2022) - 2021
- [i5]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:
Machine Learning for Mechanical Ventilation Control. CoRR abs/2102.06779 (2021) - [i4]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 abs/2102.09968 (2021) - [i3]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:
Machine Learning for Mechanical Ventilation Control (Extended Abstract). CoRR abs/2111.10434 (2021)
2010 – 2019
- 2017
- [c1]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: 1386-1383 - [i2]Ari Seff, Alex Beatson, Daniel Suo, Han Liu:
Continual Learning in Generative Adversarial Nets. CoRR abs/1705.08395 (2017) - 2016
- [i1]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 abs/1609.09475 (2016)
Coauthor Index
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