According to our database1, Guillaume Alain authored at least 8 papers between 2009 and 2018.
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Negative eigenvalues of the Hessian in deep neural networks.
Proceedings of the 6th International Conference on Learning Representations, 2018
Understanding intermediate layers using linear classifier probes.
Proceedings of the 5th International Conference on Learning Representations, 2017
Techniques for Learning Binary Stochastic Feedforward Neural Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015
What regularized auto-encoders learn from the data-generating distribution.
Journal of Machine Learning Research, 2014
Deep Generative Stochastic Networks Trainable by Backprop.
Proceedings of the 31th International Conference on Machine Learning, 2014
Regularized Auto-Encoders Estimate Local Statistics
Proceedings of the 1st International Conference on Learning Representations, 2013
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
Model-based clustering of array CGH data.