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Tom Sercu
Tom Sercu
EvolutionaryScale
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Title
Cited by
Cited by
Year
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
A Rives, J Meier, T Sercu, S Goyal, Z Lin, D Guo, M Ott, CL Zitnick, J Ma, ...
bioRxiv, 622803, 2019
17092019
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
1651*2023
MSA transformer
RM Rao, J Liu, R Verkuil, J Meier, J Canny, P Abbeel, T Sercu, A Rives
International Conference on Machine Learning, 8844-8856, 2021
5182021
English conversational telephone speech recognition by humans and machines
G Saon, G Kurata, T Sercu, K Audhkhasi, S Thomas, D Dimitriadis, X Cui, ...
arXiv preprint arXiv:1703.02136, 2017
4712017
Language models enable zero-shot prediction of the effects of mutations on protein function
J Meier, R Rao, R Verkuil, J Liu, T Sercu, A Rives
Advances in neural information processing systems 34, 29287-29303, 2021
4282021
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
2772022
The IBM 2016 English Conversational Telephone Speech Recognition System
G Saon, T Sercu, S Rennie, HKJ Kuo
https://arxiv.org/abs/1604.08242, 2016
2742016
Very deep multilingual convolutional neural networks for LVCSR
T Sercu, C Puhrsch, B Kingsbury, Y LeCun
ICASSP 2016, 4955-4959, 2016
2712016
Transformer protein language models are unsupervised structure learners
R Rao, J Meier, T Sercu, S Ovchinnikov, A Rives
Biorxiv, 2020.12. 15.422761, 2020
2622020
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ...
Nature Biomedical Engineering 5 (6), 613-623, 2021
2592021
Fisher gan
Y Mroueh, T Sercu
Advances in neural information processing systems 30, 2017
1882017
Mcgan: Mean and covariance feature matching gan
Y Mroueh, T Sercu, V Goel
International conference on machine learning, 2527-2535, 2017
1702017
Sobolev gan
Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng
arXiv preprint arXiv:1711.04894, 2017
1422017
Big-little net: An efficient multi-scale feature representation for visual and speech recognition
CF Chen, Q Fan, N Mallinar, T Sercu, R Feris
arXiv preprint arXiv:1807.03848, 2018
1032018
Knowledge distillation across ensembles of multilingual models for low-resource languages
J Cui, B Kingsbury, B Ramabhadran, G Saon, T Sercu, K Audhkhasi, ...
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
742017
Dense prediction on sequences with time-dilated convolutions for speech recognition
T Sercu, V Goel
arXiv preprint arXiv:1611.09288, 2016
712016
Language models generalize beyond natural proteins
R Verkuil, O Kabeli, Y Du, BIM Wicky, LF Milles, J Dauparas, D Baker, ...
BioRxiv, 2022.12. 21.521521, 2022
602022
Pepcvae: Semi-supervised targeted design of antimicrobial peptide sequences
P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, ...
arXiv preprint arXiv:1810.07743, 2018
602018
Advances in Very Deep Convolutional Neural Networks for LVCSR
T Sercu, V Goel
Interspeech 2016, 2016
582016
Adversarial semantic alignment for improved image captions
P Dognin, I Melnyk, Y Mroueh, J Ross, T Sercu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
47*2019
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