About Yoshua Bengio
Yoshua Bengio is the world-leader and expert on deep learning and author of the bestselling book on that topic.
He is also a full professor in the Department of Computer Science and Operations at Université de Montréal, head of the Montreal Institute for Learning Algorithms (MILA), program co-director of the Canadian Institute for Advanced Research program on Learning in Machines and Brains Research Chair in Statistical Learning Algorithms of Canada and an Officer of the Order of Canada.
His research objective is to understand the mathematical and computational principles, which give rise to intelligence through learning. He contributes to a wide spectrum of machine learning areas and is well known for his theoretical results on recurrent neural networks, kernel machines, distributed representations, depth of neural architectures, and the optimization challenge of deep learning.
His work was crucial in advancing how deep networks are trained, how neural networks can learn vector embeddings for words, how to perform machine translation with deep learning by taking advantage of an attention mechanism, and how to perform unsupervised learning with deep generative models.
The author of three books and more than 300 publications, Bengio is among the most cited Canadian computer scientists and is, or has been, associate editor of the top journals in machine learning and neural networks.