Tom Sercu

According to our database, Tom Sercu authored at least 29 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Learning inverse folding from millions of predicted structures.

Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives

Proceedings of the International Conference on Machine Learning, 2022

2021

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.

Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus

Proc. Natl. Acad. Sci. USA, 2021

Language models enable zero-shot prediction of the effects of mutations on protein function.

Joshua Meier, Roshan Rao, Robert Verkuil, Jason Liu, Tom Sercu, Alexander Rives

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MSA Transformer.

Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives

Proceedings of the 38th International Conference on Machine Learning, 2021

Transformer protein language models are unsupervised structure learners.

Roshan Rao, Joshua Meier, Tom Sercu, Sergey Ovchinnikov, Alexander Rives

Proceedings of the 9th International Conference on Learning Representations, 2021

Improved Mutual Information Estimation.

Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.

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

CoRR, 2020

2019

Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition.

Tom Sercu, Neil Mallinar

CoRR, 2019

Sobolev Independence Criterion.

Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection.

Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cícero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Wasserstein Barycenter Model Ensembling.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu

Proceedings of the 7th International Conference on Learning Representations, 2019

Improved Adversarial Image Captioning.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition.

Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris

Proceedings of the 7th International Conference on Learning Representations, 2019

Adversarial Semantic Alignment for Improved Image Captions.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Sobolev Descent.

Youssef Mroueh, Tom Sercu, Anant Raj

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences.

Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic

CoRR, 2018

Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport.

Youssef Mroueh, Tom Sercu, Anant Raj

CoRR, 2018

Improved Image Captioning with Adversarial Semantic Alignment.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

CoRR, 2018

Sobolev GAN.

Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Semi-Supervised Learning with IPM-based GANs: an Empirical Study.

Tom Sercu, Youssef Mroueh

CoRR, 2017

Fisher GAN.

Youssef Mroueh, Tom Sercu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

English Conversational Telephone Speech Recognition by Humans and Machines.

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

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

McGan: Mean and Covariance Feature Matching GAN.

Youssef Mroueh, Tom Sercu, Vaibhava Goel

Proceedings of the 34th International Conference on Machine Learning, 2017

Network architectures for multilingual speech representation learning.

Tom Sercu, George Saon, Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Brian Kingsbury, Abhinav Sethy

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Knowledge distillation across ensembles of multilingual models for low-resource languages.

Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Tom Sercu, Kartik Audhkhasi, Abhinav Sethy, Markus Nußbaum-Thom, Andrew Rosenberg

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition.

Tom Sercu, Vaibhava Goel

CoRR, 2016

Advances in Very Deep Convolutional Neural Networks for LVCSR.

Tom Sercu, Vaibhava Goel

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

The IBM 2016 English Conversational Telephone Speech Recognition System.

George Saon, Tom Sercu, Steven J. Rennie, Hong-Kwang Jeff Kuo

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Very deep multilingual convolutional neural networks for LVCSR.

Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016