Ian Goodfellow
First author of the Generative Adversarial Networks paper and co-author of the Deep Learning textbook
Ian Goodfellow is first author of the 2014 paper "Generative Adversarial Networks", which introduced training a generative model and a discriminative model in competition with each other, and wrote the MIT Press textbook Deep Learning with Yoshua Bengio and Aaron Courville; the book's online version is free to read. A 2023 Eindhoven University of Technology lecture page listed Goodfellow as a Principal Scientist at Google DeepMind, described work as a research scientist at Google and OpenAI contributing to machine learning security and privacy, and noted service as Director of Machine Learning in Apple's Special Project Group. Goodfellow is also a co-author of the 2012 paper on Theano's new features and speed improvements.1234
Work
Generative Adversarial Networks (external site: arxiv.org)Published research
First author of "Generative Adversarial Networks" (2014), with Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville and Yoshua Bengio.1
Deep Learning (MIT Press textbook) (external site: deeplearningbook.org)Published research
Co-author with Yoshua Bengio and Aaron Courville; the book's website keeps the complete online version available to read for free.2
Other documented roles
Roles the sources document but that are not confirmed as current.
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