Ian Goodfellow

Ian Goodfellow
Residence San Francisco, California
Nationality American
Fields Computer science
Alma mater Stanford University
Université de Montréal
Doctoral advisor Yoshua Bengio
Known for Generative adversarial networks

Ian J. Goodfellow[1] is a computer scientist working in machine learning, currently employed as a research scientist at OpenAI. He has made several contributions to the field of deep learning.

Goodfellow obtained his B.S. and M.S. in computer science from Stanford University and his Ph.D. in machine learning from the Université de Montréal, under the supervision of Yoshua Bengio. After graduation, Goodfellow joined Google as part of the Google Brain research team.[2] Later he left Google to join the newly founded OpenAI institute.[3][4]

Goodfellow is best known for inventing generative adversarial networks, an approach to machine learning used heavily at Facebook.[1][5] He is also the lead author of the forthcoming textbook Deep Learning.[6] At Google, he developed a system enabling Google Maps to automatically transcribe addresses from photos taken by Street View Cars[7] and demonstrated security vulnerabilities of machine learning systems.[8][9]

References

  1. 1 2 Goodfellow, Ian J.; Pouget-Abadie, Jean; Mirza, Mehdi; Xu, Bing; Warde-Farley, David; Ozair, Sherjil; Courville, Aaron; Bengio, Yoshua (2014). "Generative Adversarial Networks". arXiv:1406.2661Freely accessible [stat.ML].
  2. ↑ "Ian Goodfellow". Research at Google. Retrieved July 31, 2016.
  3. ↑ Brockman, Greg (March 31, 2016). "Team++". OpenAI Blog. Retrieved July 31, 2016.
  4. ↑ Metz, Cade (April 27, 2016). "Inside OpenAI, Elon Musk's Wild Plan to Set Artificial Intelligence Free". Wired. Retrieved July 31, 2016.
  5. ↑ Greenemeier, Larry (June 20, 2016). "When Will Computers Have Common Sense? Ask Facebook". Scientific American. Retrieved July 31, 2016.
  6. ↑ Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron (2016). Deep Learning. Cambridge, Massachusetts: MIT Press.
  7. ↑ "How Google Cracked House Number Identification in Street View". MIT Technology Review. January 6, 2014. Retrieved July 31, 2016.
  8. ↑ Gershgorn, Dave. "Fooling the Machine". Popular Science. Retrieved July 31, 2016.
  9. ↑ Gershgorn, Dave (July 27, 2016). "Researchers Have Successfully Tricked A.I. Into Seeing The Wrong Things". Popular Science. Retrieved July 31, 2016.
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