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Bengio, Y., & Lodi, A. (2017). Les données au service du savoir. Gestion, 42(1), 68-70. Lien externe
Goyal, A., Ke, N. R., Ganguli, S., & Bengio, Y. (décembre 2017). Variational walkback: Learning a transition operator as a stochastic recurrent net [Communication écrite]. 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA. Non disponible
Goyal, A., Sordoni, A., Cote, M.-A., Ke, N. R., & Bengio, Y. (décembre 2017). Z-forcing: Training stochastic recurrent networks [Communication écrite]. 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA. Non disponible
Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C. J., Jodoin, P.-M., & Larochelle, H. (2017). Brain tumor segmentation with Deep Neural Networks. Medical Image Analysis, 35, 18-31. Lien externe
Jegou, S., Drozdzal, M. A., Vazquez, D., Romero, A., & Bengio, Y. (juillet 2017). The one hundred layers Tiramisu: fully convolutional DenseNets for semantic segmentation [Communication écrite]. IEEE Conference on Computer Vision and Pattern Recognition: Workshops (CVPRW 2017), Honolulu, HI, USA. Lien externe
