Pytorch: An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Advances in neural information processing systems 32, 2019 | 51341 | 2019 |
Automatic differentiation in pytorch A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 14470 | 2017 |
Evolutionary-scale prediction of atomic-level protein structure with a language model Z Lin, H Akin, R Rao, B Hie, Z Zhu, W Lu, N Smetanin, R Verkuil, O Kabeli, ... Science 379 (6637), 1123-1130, 2023 | 2425* | 2023 |
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 |
Automatic differentiation in pytorch.(2017) A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 769 | 2017 |
Intrinsic motivation and automatic curricula via asymmetric self-play S Sukhbaatar, Z Lin, I Kostrikov, G Synnaeve, A Szlam, R Fergus arXiv preprint arXiv:1703.05407, 2017 | 444 | 2017 |
Learning inverse folding from millions of predicted structures C Hsu, R Verkuil, J Liu, Z Lin, B Hie, T Sercu, A Lerer, A Rives International conference on machine learning, 8946-8970, 2022 | 369 | 2022 |
Pytorch: An imperative style, high-performance deep learning library, 2019 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703 10, 1912 | 259 | 1912 |
Episodic exploration for deep deterministic policies: An application to starcraft micromanagement tasks N Usunier, G Synnaeve, Z Lin, S Chintala arXiv preprint arXiv:1609.02993, 2016 | 176 | 2016 |
Torchcraft: a library for machine learning research on real-time strategy games G Synnaeve, N Nardelli, A Auvolat, S Chintala, T Lacroix, Z Lin, F Richoux, ... arXiv preprint arXiv:1611.00625, 2016 | 141 | 2016 |
Deepcloak: Masking deep neural network models for robustness against adversarial samples J Gao, B Wang, Z Lin, W Xu, Y Qi arXiv preprint arXiv:1702.06763, 2017 | 116 | 2017 |
Deep motif: Visualizing genomic sequence classifications J Lanchantin, R Singh, Z Lin, Y Qi arXiv preprint arXiv:1605.01133, 2016 | 102 | 2016 |
Simulating 500 million years of evolution with a language model T Hayes, R Rao, H Akin, NJ Sofroniew, D Oktay, Z Lin, R Verkuil, VQ Tran, ... bioRxiv, 2024.07. 01.600583, 2024 | 75 | 2024 |
& Lerer, A.(2017) A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito Automatic differentiation in pytorch, 2017 | 74 | 2017 |
Advances in Neural Information Processing Systems 32 ed H A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Wallach et al 8024, 2019 | 57 | 2019 |
Andreas Kö pf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An … A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Advances in neural information processing systems 32, 8-14, 2019 | 55 | 2019 |
MUST-CNN: a multilayer shift-and-stitch deep convolutional architecture for sequence-based protein structure prediction Z Lin, J Lanchantin, Y Qi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 55 | 2016 |
Stardata: A starcraft ai research dataset Z Lin, J Gehring, V Khalidov, G Synnaeve Proceedings of the AAAI Conference on Artificial Intelligence and …, 2017 | 50 | 2017 |
Growing action spaces G Farquhar, L Gustafson, Z Lin, S Whiteson, N Usunier, G Synnaeve International Conference on Machine Learning, 3040-3051, 2020 | 41 | 2020 |
PyTorch: an imperative style, high-performance deep learning library, December 2019 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... URL http://arxiv. org/abs/1912.01703, 1912 | 41 | 1912 |