Pierre Delaunay, Xavier Bouthillier, Olivier Breuleux, Satya Ortiz-Gagné, Olexa Bilaniuk, Fabrice Normandin, Arnaud Bergeron, Bruno Carrez, Guillaume Alain, Soline Blanc, Frédéric Osterrath, Joseph Viviano, Roger Creus-Castanyer Darshan Patil, Rabiul Awal, Le Zhang, Introducing Milabench: Benchmarking Accelerators for AI , arXiv preprint arXiv:2411.11940, 2024
Publications
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gael Varoquaux, Pascal Vincent, Accounting for Variance in Machine Learning Benchmarks , Machine Learning and Systems (MLSys 2021), 2021
Xavier Bouthillier, Gaël Varoquaux, Survey of machine-learning experimental methods at NeurIPS2019 and ICLR2020 , Technical Report hal-02447823, 2020
Xavier Bouthillier, Improving Reproducibility of Benchmarks , CiML Workshop at Advances in Neural Information Processing Systems, 2019
Xavier Bouthillier, César Laurent and Pascal Vincent, Unreproducible Research is Reproducible , International Conference on Machine Learning, 2019
Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas and Pascal Vincent, Fast approximate natural gradient descent in a kronecker factored eigenbasis , Advances in Neural Information Processing Systems, 2018
Christos Tsirigotis, Xavier Bouthillier, François Corneau-Tremblay, Peter Henderson, Reyhane Askari, Samuel Lavoie-Marchildon, Tristan Deleu, Dendi Suhubdy, Michael Noukhovitch, Frédéric Bastien and others, Oríon: Experiment Version Control for Efficient Hyperparameter Optimization , AutoML Workshop at the International Conference on Machine Learning, 2018
César Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas and Pascal Vincent, An evaluation of fisher approximations beyond kronecker factorization , Workshop at International Conference on Learning Representations, 2018
Pascal Vincent, Alexandre de Brébisson and Xavier Bouthillier, Exact gradient updates in time independent of output size for the spherical loss family , arXiv preprint arXiv:1606.08061, 2016
Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann Dauphin, Nicolas Boulanger-Lewandowski and others, Emonets: Multimodal deep learning approaches for emotion recognition in video , Journal on Multimodal User Interfaces, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov and others, Theano: A Python framework for fast computation of mathematical expressions , arXiv preprint arXiv:1605.02688, 2016
Pascal Vincent, Alexandre De Brébisson and Xavier Bouthillier, Efficient exact gradient update for training deep networks with very large sparse targets , Advances in Neural Information Processing Systems, 2015
Xavier Bouthillier, Kishore Konda, Pascal Vincent and Roland Memisevic, Dropout as data augmentation , arXiv preprint arXiv:1506.08700, 2015
Samira Ebrahimi Kahou, Christopher Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron Courville, Yoshua Bengio, Raul Chandias Ferrari and others, Combining modality specific deep neural networks for emotion recognition in video , Proceedings of the 15th ACM on International conference on multimodal interaction, 2013