Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 917 | 2016 |
Understanding intermediate layers using linear classifier probes G Alain, Y Bengio arXiv preprint arXiv:1610.01644, 2016 | 756 | 2016 |
Generalized denoising auto-encoders as generative models Y Bengio, L Yao, G Alain, P Vincent Advances in neural information processing systems 26, 2013 | 712 | 2013 |
What regularized auto-encoders learn from the data-generating distribution G Alain, Y Bengio The Journal of Machine Learning Research 15 (1), 3563-3593, 2014 | 642 | 2014 |
Deep generative stochastic networks trainable by backprop Y Bengio, E Laufer, G Alain, J Yosinski International Conference on Machine Learning, 226-234, 2014 | 500 | 2014 |
Variance reduction in sgd by distributed importance sampling G Alain, A Lamb, C Sankar, A Courville, Y Bengio arXiv preprint arXiv:1511.06481, 2015 | 217 | 2015 |
Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016 | 210 | 2016 |
Techniques for learning binary stochastic feedforward neural networks T Raiko, M Berglund, G Alain, L Dinh arXiv preprint arXiv:1406.2989, 2014 | 129 | 2014 |
Smoothing depth maps for improved steroscopic image quality WJ Tam, G Alain, L Zhang, T Martin, R Renaud Three-Dimensional TV, Video, and Display III 5599, 162-172, 2004 | 122 | 2004 |
GSNs: generative stochastic networks G Alain, Y Bengio, L Yao, J Yosinski, E Thibodeau-Laufer, S Zhang, ... Information and Inference: A Journal of the IMA 5 (2), 210-249, 2016 | 76 | 2016 |
Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016 | 52 | 2016 |
Negative eigenvalues of the Hessian in deep neural networks G Alain, NL Roux, PA Manzagol arXiv preprint arXiv:1902.02366, 2019 | 35 | 2019 |
Regularized auto-encoders estimate local statistics G Alain, Y Bengio, S Rifai arXiv preprint arXiv:1211.4246, 1-17, 2012 | 33 | 2012 |
Harm de Vries, David Warde-Farley, Dustin J R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, and …, 2016 | 30 | 2016 |
Model-based clustering of array CGH data SP Shah, KJ Cheung Jr, NA Johnson, G Alain, RD Gascoyne, ... Bioinformatics 25 (12), i30-i38, 2009 | 29 | 2009 |
Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688 R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... URL http://arxiv. org/abs/1605.02688, 2016 | 23 | 2016 |
Implicit density estimation by local moment matching to sample from auto-encoders Y Bengio, G Alain, S Rifai arXiv preprint arXiv:1207.0057, 2012 | 16 | 2012 |
Improving stereoscopic image quality of pictures generated from depth maps G Alain, WJ Tam, L Zhang Internal CRC report, 2003 | 10 | 2003 |
Deepdrummer: Generating drum loops using deep learning and a human in the loop G Alain, M Chevalier-Boisvert, F Osterrath, R Piche-Taillefer arXiv preprint arXiv:2008.04391, 2020 | 8 | 2020 |
Deep generative stochastic networks trainable by backprop (2013) Y Bengio, E Thibodeau-Laufer, G Alain, J Yosinski arXiv preprint arXiv:1306.1091, 0 | 5 | |