According to our database1, Guillaume Alain authored at least 12 papers between 2009 and 2016.
Legend:Book In proceedings Article PhD thesis Other
Understanding intermediate layers using linear classifier probes.
Theano: A Python framework for fast computation of mathematical expressions.
Variance Reduction in SGD by Distributed Importance Sampling.
GSNs : Generative Stochastic Networks.
What regularized auto-encoders learn from the data-generating distribution.
Journal of Machine Learning Research, 2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks.
Deep Generative Stochastic Networks Trainable by Backprop.
Proceedings of the 31th International Conference on Machine Learning, 2014
Generalized Denoising Auto-Encoders as Generative Models
Generalized Denoising Auto-Encoders as Generative Models.
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
Regularized Auto-Encoders Estimate Local Statistics
Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders
Model-based clustering of array CGH data.