Laurent Dinh

According to our database1, Laurent Dinh authored at least 10 papers between 2013 and 2019.

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

Timeline

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Links

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Bibliography

2019
Discrete Flows: Invertible Generative Models of Discrete Data.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

A RAD approach to deep mixture models.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

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

2017
Sharp Minima Can Generalize For Deep Nets.
Proceedings of the 34th International Conference on Machine Learning, 2017

Density estimation using Real NVP.
Proceedings of the 5th International Conference on Learning Representations, 2017

2015
Techniques for Learning Binary Stochastic Feedforward Neural Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015

NICE: Non-linear Independent Components Estimation.
Proceedings of the 3rd International Conference on Learning Representations, 2015

A Recurrent Latent Variable Model for Sequential Data.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep independence network analysis of structural brain imaging: A simulation study.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2013
Predicting Parameters in Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013


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