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Beckham, C., Honari, S., Verma, V., Lamb, A., Ghadiri, F., Hjelm, R. D., Bengio, Y., & Pal, C. J. (décembre 2019). On adversarial mixup resynthesis [Communication écrite]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. Lien externe
Krueger, D., Maharaj, T., Kramar, J., Pezeshki, M., Ballas, N., Ke, N. R., Goyal, A., Bengio, Y., Courville, A., & Pal, C. J. (avril 2017). Zoneout: Regularizing rNNs by randomly preserving hidden activations [Communication écrite]. 5th International Conference on Learning Representations (ICLR 2017), Toulon, France (11 pages). Lien externe
Piche, A., Thomas, V., Ibrahim, C., Bengio, Y., & Pal, C. J. (mai 2019). Probabilistic planning with sequential Monte Carlo methods [Affiche]. 7th International Conference on Learning Representations, New Orleans, Louisiana (8 pages). Lien externe
Sankar, C., Subramanian, S., Pal, C. J., Chandar, S., & Bengio, Y. (juillet 2019). Do neural dialog systems use the conversation history effectively? An empirical study [Communication écrite]. 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy. Lien externe
Kerg, G., Goyette, K., Touzel, M. P., Gidel, G., Vorontsov, E., Bengio, Y., & Lajoie, G. (décembre 2019). Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics [Communication écrite]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C.. Lien externe
Larsen, E., Lachapelle, S., Bengio, Y., Frejinger, E., Lacoste-Julien, S., & Lodi, A. (2019). Predicting tactical solutions to operational planning problems under imperfect information. (Rapport technique n° DS4DM-2019-003). Lien externe