Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge. - Andy Zeng 001; Kuan-Ting Yu; Shuran Song; Daniel Suo; Ed Walker Jr.; Alberto Rodriguez 003; Jianxiong Xiao (ICRA, 2017)

Continual Learning in Generative Adversarial Nets. - Ari Seff; Alex Beatson; Daniel Suo; Han Liu 001 (CoRR, 2017)

Machine Learning for Mechanical Ventilation Control. - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (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 (Extended Abstract). - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (CoRR, 2021)

Adaptive Gradient Methods at the Edge of Stability. - Jeremy Cohen 001; Behrooz Ghorbani; Shankar Krishnan; Naman Agarwal; Sourabh Medapati; Michal Badura; Daniel Suo; David Cardoze; Zachary Nado; George E. Dahl; Justin Gilmer (CoRR, 2022)

Online Learning for Obstacle Avoidance. - David Snyder; Meghan Booker; Nathaniel Simon; Wenhan Xia; Daniel Suo; Elad Hazan; Anirudha Majumdar (CoRL, 2023)

Benchmarking Neural Network Training Algorithms. - George E. Dahl; Frank Schneider 001; Zachary Nado; Naman Agarwal; Chandramouli Shama Sastry; Philipp Hennig; Sourabh Medapati; Runa Eschenhagen; Priya Kasimbeg; Daniel Suo; Juhan Bae; Justin Gilmer; et al. (CoRR, 2023)

Spectral State Space Models. - Naman Agarwal; Daniel Suo; Xinyi Chen 001; Elad Hazan (CoRR, 2023)

Scaling Machine Learning in Practice - Daniel Suo (2023)

FutureFill: Fast Generation from Convolutional Sequence Models. - Naman Agarwal; Xinyi Chen 001; Evan Dogariu; Vladimir Feinberg; Daniel Suo; Peter L. Bartlett; Elad Hazan (CoRR, 2024)

Provable Length Generalization in Sequence Prediction via Spectral Filtering. - Annie Marsden; Evan Dogariu; Naman Agarwal; Xinyi Chen 001; Daniel Suo; Elad Hazan (CoRR, 2024)