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2020 – today
- 2022
[c21]Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie
, Tom Sercu, Adam Lerer, Alexander Rives:
Learning inverse folding from millions of predicted structures. ICML 2022: 8946-8970- 2021
- [j1]Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus:
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118(15): e2016239118 (2021) - [c20]Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu:
Improved Mutual Information Estimation. AAAI 2021: 9009-9017 - [c19]Roshan Rao, Joshua Meier, Tom Sercu, Sergey Ovchinnikov, Alexander Rives:
Transformer protein language models are unsupervised structure learners. ICLR 2021 - [c18]Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives:
MSA Transformer. ICML 2021: 8844-8856 - [c17]Joshua Meier, Roshan Rao, Robert Verkuil, Jason Liu, Tom Sercu, Alexander Rives:
Language models enable zero-shot prediction of the effects of mutations on protein function. NeurIPS 2021: 29287-29303 - 2020
- [i17]Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic:
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. CoRR abs/2005.11248 (2020)
2010 – 2019
- 2019
- [c16]Youssef Mroueh, Tom Sercu, Anant Raj:
Sobolev Descent. AISTATS 2019: 2976-2985 - [c15]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu:
Adversarial Semantic Alignment for Improved Image Captions. CVPR 2019: 10463-10471 - [c14]Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. ICLR (Poster) 2019 - [c13]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu:
Improved Adversarial Image Captioning. DGS@ICLR 2019 - [c12]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu:
Wasserstein Barycenter Model Ensembling. ICLR (Poster) 2019 - [c11]Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cícero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan:
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection. DGS@ICLR 2019 - [c10]Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos:
Sobolev Independence Criterion. NeurIPS 2019: 9505-9515 - [i16]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu:
Wasserstein Barycenter Model Ensembling. CoRR abs/1902.04999 (2019) - [i15]Tom Sercu, Neil Mallinar:
Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition. CoRR abs/1907.13121 (2019) - [i14]Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos:
Sobolev Independence Criterion. CoRR abs/1910.14212 (2019) - 2018
- [c9]Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng:
Sobolev GAN. ICLR (Poster) 2018 - [i13]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu:
Improved Image Captioning with Adversarial Semantic Alignment. CoRR abs/1805.00063 (2018) - [i12]Youssef Mroueh, Tom Sercu, Anant Raj:
Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport. CoRR abs/1805.12062 (2018) - [i11]Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. CoRR abs/1807.03848 (2018) - [i10]Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic:
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. CoRR abs/1810.07743 (2018) - 2017
- [c8]Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Tom Sercu, Kartik Audhkhasi, Abhinav Sethy, Markus Nußbaum-Thom, Andrew Rosenberg:
Knowledge distillation across ensembles of multilingual models for low-resource languages. ICASSP 2017: 4825-4829 - [c7]Tom Sercu, George Saon, Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Brian Kingsbury, Abhinav Sethy:
Network architectures for multilingual speech representation learning. ICASSP 2017: 5295-5299 - [c6]Youssef Mroueh, Tom Sercu, Vaibhava Goel:
McGan: Mean and Covariance Feature Matching GAN. ICML 2017: 2527-2535 - [c5]George Saon, Gakuto Kurata, Tom Sercu, Kartik Audhkhasi, Samuel Thomas, Dimitrios Dimitriadis, Xiaodong Cui, Bhuvana Ramabhadran, Michael Picheny, Lynn-Li Lim, Bergul Roomi, Phil Hall:
English Conversational Telephone Speech Recognition by Humans and Machines. INTERSPEECH 2017: 132-136 - [c4]Youssef Mroueh, Tom Sercu:
Fisher GAN. NIPS 2017: 2513-2523 - [i9]Youssef Mroueh, Tom Sercu, Vaibhava Goel:
McGan: Mean and Covariance Feature Matching GAN. CoRR abs/1702.08398 (2017) - [i8]George Saon, Gakuto Kurata, Tom Sercu, Kartik Audhkhasi, Samuel Thomas, Dimitrios Dimitriadis, Xiaodong Cui, Bhuvana Ramabhadran, Michael Picheny, Lynn-Li Lim, Bergul Roomi, Phil Hall:
English Conversational Telephone Speech Recognition by Humans and Machines. CoRR abs/1703.02136 (2017) - [i7]Youssef Mroueh, Tom Sercu:
Fisher GAN. CoRR abs/1705.09675 (2017) - [i6]Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng:
Sobolev GAN. CoRR abs/1711.04894 (2017) - [i5]Tom Sercu, Youssef Mroueh:
Semi-Supervised Learning with IPM-based GANs: an Empirical Study. CoRR abs/1712.02505 (2017) - 2016
- [c3]Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun:
Very deep multilingual convolutional neural networks for LVCSR. ICASSP 2016: 4955-4959 - [c2]George Saon, Tom Sercu, Steven J. Rennie, Hong-Kwang Jeff Kuo:
The IBM 2016 English Conversational Telephone Speech Recognition System. INTERSPEECH 2016: 7-11 - [c1]Tom Sercu, Vaibhava Goel:
Advances in Very Deep Convolutional Neural Networks for LVCSR. INTERSPEECH 2016: 3429-3433 - [i4]Tom Sercu, Vaibhava Goel:
Advances in Very Deep Convolutional Neural Networks for LVCSR. CoRR abs/1604.01792 (2016) - [i3]George Saon, Tom Sercu, Steven J. Rennie, Hong-Kwang Jeff Kuo:
The IBM 2016 English Conversational Telephone Speech Recognition System. CoRR abs/1604.08242 (2016) - [i2]Tom Sercu, Vaibhava Goel:
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition. CoRR abs/1611.09288 (2016) - 2015
- [i1]Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun:
Very Deep Multilingual Convolutional Neural Networks for LVCSR. CoRR abs/1509.08967 (2015)
Coauthor Index
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