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Zeming Lin
Zeming Lin
在 nyu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
425562019
Automatic differentiation in pytorch
A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ...
139922017
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
16292021
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
1448*2023
Pytorch: An imperative style, high-performance deep learning library
B Steiner, Z DeVito, S Chintala, S Gross, A Paske, F Massa, A Lerer, ...
6942019
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
4222017
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
2422022
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
1702016
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
1362016
PyTorch: An Imperative Style
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
High-Performance Deep Learning Library 12, 1912
1241912
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
1102017
Deep motif: Visualizing genomic sequence classifications
J Lanchantin, R Singh, Z Lin, Y Qi
arXiv preprint arXiv:1605.01133, 2016
1002016
& Lerer, A.(2017)
A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito
Automatic differentiation in pytorch, 2017
702017
Advances in Neural Information Processing Systems 32, Curran Associates
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Inc., New York, 8024, 2019
582019
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
532016
Stardata: A starcraft ai research dataset
Z Lin, J Gehring, V Khalidov, G Synnaeve
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2017
482017
Growing action spaces
G Farquhar, L Gustafson, Z Lin, S Whiteson, N Usunier, G Synnaeve
International Conference on Machine Learning, 3040-3051, 2020
342020
Value propagation networks
N Nardelli, G Synnaeve, Z Lin, P Kohli, PHS Torr, N Usunier
arXiv preprint arXiv:1805.11199, 2018
342018
Forward modeling for partial observation strategy games-a starcraft defogger
G Synnaeve, Z Lin, J Gehring, D Gant, V Mella, V Khalidov, N Carion, ...
Advances in Neural Information Processing Systems 31, 2018
332018
A high-level programming language for generative protein design
B Hie, S Candido, Z Lin, O Kabeli, R Rao, N Smetanin, T Sercu, A Rives
bioRxiv, 2022.12. 21.521526, 2022
252022
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