Yoshua Bengio
Appointment
- Program Co-Director
- Canada CIFAR AI Chair
- Learning in Machines & Brains
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About
Yoshua Bengio works in computer science, specifically artificial intelligence (machine learning).
He is the founder and director of the Institut des algorithmes d’apprentissage de Montréal at Université de Montréal. His current interests include fundamental questions on deep learning, the geometry of generalization in high-dimensional spaces, biologically inspired learning algorithms, and challenging applications of statistical machine learning in artificial intelligence tasks.
Awards
- Urgel-Archambault prize
- Action Editor of the Journal of Machine Learning Research and of the Neural Computation journal
- Canada Research Chair in Statistical Learning Algorithms
- ACM A.M. Turing Award
Relevant Publications
- Goodfellow, I.J., Y. Bengio, and A. Courville. Deep Learning. Cambridge, MA: MIT Press, 2016.
- LeCun, Y., Y. Bengio, and G. Hinton. "Deep learning." Nature 521, no. 7553 (2015): 436–44.
- Bahdanau, D., K. Cho, and Y. Bengio. "Neural machine translation by jointly learning to align and translate.” ICLR, 2015. arXiv:1409.0473.
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CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.