According to our database1, Laurent Dinh authored at least 4 papers between 2013 and 2017.
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Sharp Minima Can Generalize For Deep Nets.
Proceedings of the 34th International Conference on Machine Learning, 2017
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
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