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Tom Sercu
Tom Sercu
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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
6002019
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
4142017
The IBM 2016 English Conversational Telephone Speech Recognition System
G Saon, T Sercu, S Rennie, HKJ Kuo
https://arxiv.org/abs/1604.08242, 2016
2512016
Very deep multilingual convolutional neural networks for LVCSR
T Sercu, C Puhrsch, B Kingsbury, Y LeCun
ICASSP 2016, 4955-4959, 2016
2452016
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
1552021
Fisher gan
Y Mroueh, T Sercu
Advances in Neural Information Processing Systems 30, 2017
1522017
Mcgan: Mean and covariance feature matching gan
Y Mroueh, T Sercu, V Goel
International conference on machine learning, 2527-2535, 2017
1362017
Sobolev gan
Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng
arXiv preprint arXiv:1711.04894, 2017
1152017
Transformer protein language models are unsupervised structure learners
R Rao, J Meier, T Sercu, S Ovchinnikov, A Rives
Biorxiv, 2020
1072020
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
1012021
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
852021
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
702018
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
692017
Dense prediction on sequences with time-dilated convolutions for speech recognition
T Sercu, V Goel
arXiv preprint arXiv:1611.09288, 2016
612016
Advances in Very Deep Convolutional Neural Networks for LVCSR
T Sercu, V Goel
Interspeech 2016, 2016
552016
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
392018
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
312022
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
31*2019
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
Sobolev descent
Y Mroueh, T Sercu, A Raj
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
232019
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