| Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge A Zeng, KT Yu, S Song, D Suo, E Walker, A Rodriguez, J Xiao 2017 IEEE international conference on robotics and automation (ICRA), 1386-1383, 2017 | 582 | 2017 |
| Continual learning in generative adversarial nets A Seff, A Beatson, D Suo, H Liu arXiv preprint arXiv:1705.08395, 2017 | 154 | 2017 |
| Adaptive gradient methods at the edge of stability JM Cohen, B Ghorbani, S Krishnan, N Agarwal, S Medapati, M Badura, ... arXiv preprint arXiv:2207.14484, 2022 | 52 | 2022 |
| BrainIAK: the brain imaging analysis kit M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ... Aperture neuro 1 (4), 10.52294/31bb5b68-2184-411b-8c00-a1dacb61e1da, 2022 | 48 | 2022 |
| Benchmarking neural network training algorithms GE Dahl, F Schneider, Z Nado, N Agarwal, CS Sastry, P Hennig, ... arXiv preprint arXiv:2306.07179, 2023 | 24 | 2023 |
| Deluca--A Differentiable Control Library: Environments, Methods, and Benchmarking P Gradu, J Hallman, D Suo, A Yu, N Agarwal, U Ghai, K Singh, C Zhang, ... arXiv preprint arXiv:2102.09968, 2021 | 17 | 2021 |
| Machine learning for mechanical ventilation control D Suo, N Agarwal, W Xia, X Chen, U Ghai, A Yu, P Gradu, K Singh, ... arXiv preprint arXiv:2102.06779, 2021 | 16 | 2021 |
| Pixie: a social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa prize proceedings, 2017 | 14 | 2017 |
| Spectral state space models N Agarwal, D Suo, X Chen, E Hazan arXiv preprint arXiv:2312.06837, 2023 | 8 | 2023 |
| Marvin: A minimalist GPU-only N-dimensional ConvNet framework J Xiao, S Song, D Suo, F Yu, A Zeng, Y Zhang, A Seff | 8 | |
| Online Learning for Obstacle Avoidance D Snyder, M Booker, N Simon, W Xia, D Suo, E Hazan, A Majumdar Conference on Robot Learning, 2926-2954, 2023 | 2 | 2023 |
| Trade Costs J Enos, D Kane, AR Narayan, A Schwartz, D Suo, L Zhao Using Sweave with LyX 8, 10, 2008 | 1 | 2008 |
| Provable Length Generalization in Sequence Prediction via Spectral Filtering A Marsden, E Dogariu, N Agarwal, X Chen, D Suo, E Hazan arXiv preprint arXiv:2411.01035, 2024 | | 2024 |
| FutureFill: Fast Generation from Convolutional Sequence Models N Agarwal, X Chen, E Dogariu, V Feinberg, D Suo, P Bartlett, E Hazan arXiv preprint arXiv:2410.03766, 2024 | | 2024 |
| Catastrophic Token Leakage in Convolutional Sequence Modeling and How to Mitigate It N Agarwal, E Dogariu, X Chen, D Suo, V Feinberg, E Hazan | | 2024 |
| Benchmarking Neural Network Training Algorithms P Hennig, GE Dahl, F Schneider, Z Nado, N Agarwal, C Shama Sastry, ... arXiv, 2023 | | 2023 |
| Scaling Machine Learning in Practice DC Suo Princeton University, 2023 | | 2023 |
| Machine learning for medical ventilator control C Zhang, DC Suo, D Cohen, E Minasyan, E Hazan, J LaChance, K Singh, ... | | 2021 |
| Deluca--A Differentiable Control Library: Environments, Methods, and Benchmarking AJ Yu, A Majumdar, C Zhang, DC Suo, E Hazan, JO Hallman, K Singh, ... | | 2020 |
| Dispersion, Coverage, and the Rational Investor: Using Analysts’ Earnings Forecasts to Predict Stock Returns L ZHAO, D SUO | | |
Andy ZengResearch Scientist, Google DeepMindVerified email at google.com