Laurent Dinh

According to our database1, Laurent Dinh authored at least 13 papers between 2013 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Learning Awareness Models.
CoRR, 2018

2017
Learnable Explicit Density for Continuous Latent Space and Variational Inference.
CoRR, 2017

Sharp Minima Can Generalize For Deep Nets.
CoRR, 2017

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

2016
Density estimation using Real NVP.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

2015
A Recurrent Latent Variable Model for Sequential Data.
CoRR, 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

2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks.
CoRR, 2014

NICE: Non-linear Independent Components Estimation.
CoRR, 2014

2013
Predicting Parameters in Deep Learning.
CoRR, 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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