Следене
Zeming Lin
Zeming Lin
Потвърден имейл адрес: nyu.edu
Заглавие
Позовавания
Позовавания
Година
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
225002019
Automatic differentiation in pytorch
A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ...
110012017
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
5972021
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
2832017
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
1712016
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
1252016
Deep motif: Visualizing genomic sequence classifications
J Lanchantin, R Singh, Z Lin, Y Qi
arXiv preprint arXiv:1605.01133, 2016
892016
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
842017
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
462016
Stardata: A starcraft ai research dataset
Z Lin, J Gehring, V Khalidov, G Synnaeve
Thirteenth Artificial Intelligence and Interactive Digital Entertainment …, 2017
402017
Learning inverse folding from millions of predicted structures
C Hsu, R Verkuil, J Liu, Z Lin, B Hie, T Sercu, A Lerer, A Rives
bioRxiv, 2022
302022
Language models of protein sequences at the scale of evolution enable accurate structure prediction
Z Lin, H Akin, R Rao, B Hie, Z Zhu, W Lu, A dos Santos Costa, ...
bioRxiv, 2022
272022
Value propagation networks
N Nardelli, G Synnaeve, Z Lin, P Kohli, PHS Torr, N Usunier
arXiv preprint arXiv:1805.11199, 2018
272018
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
272018
Growing action spaces
G Farquhar, L Gustafson, Z Lin, S Whiteson, N Usunier, G Synnaeve
International Conference on Machine Learning, 3040-3051, 2020
212020
An analysis of model-based heuristic search techniques for StarCraft combat scenarios
D Churchill, Z Lin, G Synnaeve
Thirteenth Artificial Intelligence and Interactive Digital Entertainment …, 2017
142017
Neural Potts Model
T Sercu, R Verkuil, J Meier, B Amos, Z Lin, C Chen, J Liu, Y LeCun, ...
bioRxiv, 2021
92021
Deep generative models create new and diverse protein structures
Z Lin, T Sercu, Y LeCun, A Rives
Machine Learning for Structural Biology Workshop, NeurIPS, 2021
62021
561 Antiga, L. 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 562, 8026-8037, 0
6
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, ...
bioRxiv, 2022
42022
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