| Side-tuning: a baseline for network adaptation via additive side networks JO Zhang, A Sax, A Zamir, L Guibas, J Malik Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 169 | 2020 |
| Learning to Navigate Using Mid-Level Visual Priors A Sax, JO Zhang, B Emi, A Zamir, S Savarese, L Guibas, J Malik Conference on Robot Learning, 2019 | 60 | 2019 |
| Modular architecture for starcraft ii with deep reinforcement learning D Lee, H Tang, J Zhang, H Xu, T Darrell, P Abbeel Proceedings of the AAAI Conference on Artificial Intelligence and …, 2018 | 57 | 2018 |
| NMS Strikes Back J Ouyang-Zhang, JH Cho, X Zhou, P Krähenbühl arXiv preprint arXiv:2212.06137, 2022 | 38 | 2022 |
| Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations DJ Diaz, C Gong, J Ouyang-Zhang, JM Loy, J Wells, D Yang, AD Ellington, ... Nature Communications 15 (1), 6170, 2024 | 13* | 2024 |
| Predicting a protein's stability under a million mutations J Ouyang-Zhang, D Diaz, A Klivans, P Krähenbühl Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Philipp KrähenbühlUT AustinVerified email at cs.utexas.edu
Philipp KrähenbühlUT AustinVerified email at cs.utexas.edu