Tom Sercu

Orcid: 0000-0003-2947-6064

According to our database1, Tom Sercu authored at least 29 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Learning inverse folding from millions of predicted structures.
Proceedings of the International Conference on Machine Learning, 2022

2021
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.
Proc. Natl. Acad. Sci. USA, 2021

Language models enable zero-shot prediction of the effects of mutations on protein function.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Transformer protein language models are unsupervised structure learners.
Proceedings of the 9th International Conference on Learning Representations, 2021

Improved Mutual Information Estimation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR, 2020

2019
Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition.
CoRR, 2019

Sobolev Independence Criterion.
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.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Wasserstein Barycenter Model Ensembling.
Proceedings of the 7th International Conference on Learning Representations, 2019

Improved Adversarial Image Captioning.
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.
Proceedings of the 7th International Conference on Learning Representations, 2019

Adversarial Semantic Alignment for Improved Image Captions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

2018
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences.
CoRR, 2018

Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport.
CoRR, 2018

Improved Image Captioning with Adversarial Semantic Alignment.
CoRR, 2018

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

2017
Semi-Supervised Learning with IPM-based GANs: an Empirical Study.
CoRR, 2017

Fisher GAN.
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.
Proceedings of the Interspeech 2017, 2017

McGan: Mean and Covariance Feature Matching GAN.
Proceedings of the 34th International Conference on Machine Learning, 2017

Network architectures for multilingual speech representation learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Knowledge distillation across ensembles of multilingual models for low-resource languages.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition.
CoRR, 2016

Advances in Very Deep Convolutional Neural Networks for LVCSR.
Proceedings of the Interspeech 2016, 2016

The IBM 2016 English Conversational Telephone Speech Recognition System.
Proceedings of the Interspeech 2016, 2016

Very deep multilingual convolutional neural networks for LVCSR.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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