| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences A Rives, J Meier, T Sercu, S Goyal, Z Lin, J Liu, D Guo, M Ott, CL Zitnick, ... Proceedings of the National Academy of Sciences 118 (15), e2016239118, 2021 | 2163 | 2021 |
| A study of probabilistic password models J Ma, W Yang, M Luo, N Li 2014 IEEE Symposium on Security and Privacy, 689-704, 2014 | 343 | 2014 |
| Quasi-hyperbolic momentum and Adam for deep learning J Ma, D Yarats International Conference on Learning Representations, 2019 | 173 | 2019 |
| Elf opengo: An analysis and open reimplementation of alphazero Y Tian, J Ma, Q Gong, S Sengupta, Z Chen, J Pinkerton, L Zitnick International Conference on Machine Learning, 6244-6253, 2019 | 146 | 2019 |
| On the adequacy of untuned warmup for adaptive optimization J Ma, D Yarats Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8828-8836, 2021 | 83 | 2021 |
| Energy-based models for atomic-resolution protein conformations Y Du, J Meier, J Ma, R Fergus, A Rives International Conference on Learning Representations, 2020 | 59 | 2020 |
| Snakes on a spaceship—An overview of Python in heliophysics AG Burrell, A Halford, J Klenzing, RA Stoneback, SK Morley, AM Annex, ... Journal of Geophysical Research: Space Physics 123 (12), 10,384-10,402, 2018 | 44 | 2018 |
| Order-Aware Generative Modeling Using the 3D-Craft Dataset Z Chen, D Guo, T Xiao, S Xie, X Chen, H Yu, J Gray, K Srinet, H Fan, J Ma, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 8 | 2019 |
| Recent Developments in AI and USPTO Open Data S Beliveau, J Ma arXiv preprint arXiv:2207.05239, 2022 | 1 | 2022 |
Denis YaratsCofounder and CTO, Perplexity AIVerified email at perplexity.ai
