Daniel Suo - RankMe

15 papers A* 2Misc 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Provable Length Generalization in Sequence Prediction via Spectral Filtering. ICML Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan
2024	J	`jnl`	FutureFill: Fast Generation from Convolutional Sequence Models. CoRR Naman Agarwal, Xinyi Chen, Evan Dogariu, Vladimir Feinberg, Daniel Suo, Peter L. Bartlett, Elad Hazan
2024	J	`jnl`	Provable Length Generalization in Sequence Prediction via Spectral Filtering. CoRR Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan
2023	J	`jnl`	Benchmarking Neural Network Training Algorithms. CoRR 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
2023	Misc	`conf`	Online Learning for Obstacle Avoidance. CoRL David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
2023	J	`jnl`	Online Learning for Obstacle Avoidance. CoRR David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
2023	—	`—`	Scaling Machine Learning in Practice Daniel Suo
2023	J	`jnl`	Spectral State Space Models. CoRR Naman Agarwal, Daniel Suo, Xinyi Chen, Elad Hazan
2022	J	`jnl`	Adaptive Gradient Methods at the Edge of Stability. CoRR Jeremy Cohen, Behrooz Ghorbani, Shankar Krishnan, Naman Agarwal, Sourabh Medapati, Michal Badura, Daniel Suo, David Cardoze, Zachary Nado, George E. Dahl, Justin Gilmer
2021	J	`jnl`	Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking. CoRR Paula Gradu, John Hallman, Daniel Suo, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, Elad Hazan
2021	J	`jnl`	Machine Learning for Mechanical Ventilation Control (Extended Abstract). CoRR 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
2021	J	`jnl`	Machine Learning for Mechanical Ventilation Control. CoRR 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
2017	J	`jnl`	Continual Learning in Generative Adversarial Nets. CoRR Ari Seff, Alex Beatson, Daniel Suo, Han Liu
2017	A*	`conf`	Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge. ICRA Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao
2016	J	`jnl`	Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge. CoRR Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao