Yoshua Bengio
Yoshua Bengio | |
---|---|
Born |
1964 (age 52–53) France |
Residence | Montreal, Quebec |
Citizenship | Canada |
Fields | Computer science |
Institutions | Université de Montréal |
Alma mater | McGill University |
Thesis | Artificial Neural Networks and their Application to Sequence Recognition (1991) |
Doctoral advisor | Renato de Mori |
Notable students | Ian Goodfellow,Hugo Larochelle,Pascal Vincent,Nicolas Chapados,Kyunghyun Cho,Antoine Bordes,Aaron Courville,Samy Bengio, |
Known for | Deep Learning,Neural machine translation,Generative Adversarial Networks,Word embeddings,Denoising Auto-Encoders,neural language models |
Website iro.umontreal.ca/~bengioy |
Yoshua Bengio (born 1964 in France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning.[1][2][3]
Bengio received his Bachelor of Science (electrical engineering), Master of Engineering (computer science) and PhD (computer science) from McGill University.[4] He was a post-doctoral fellow at MIT (under Michael I. Jordan) and AT&T Bell Labs.[5] Bengio has been a faculty member at the Université de Montréal since 1993, heads the MILA (Montreal Institute for Learning Algorithms) and is co-director of the Learning in Machines & Brains project of the Canadian Institute for Advanced Research.[4][5]
References
- ↑ Knight, Will (July 9, 2015). "IBM Pushes Deep Learning with a Watson Upgrade". MIT Technology Review. Retrieved July 31, 2016.
- ↑ LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). "Deep learning". Nature. 521 (7553): 436–444. PMID 26017442. doi:10.1038/nature14539.
- ↑ Bergen, Mark; Wagner, Kurt (July 15, 2015). "Welcome to the AI Conspiracy: The 'Canadian Mafia' Behind Tech's Latest Craze". Recode. Retrieved July 31, 2016.
- 1 2 "Yoshua Bengio". Profiles. Canadian Institute For Advanced Research. Retrieved July 31, 2016.
- 1 2 Bengio, Yoshua. "CV". Département d'informatique et de recherche opérationnelle. Université de Montréal. Retrieved July 31, 2016.
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