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Aug 16, 2017 · A few years ago, after some heated debate in a Montreal pub, Ian Goodfellow dreamed up one of the most intriguing ideas in artificial intelligence. By applying game theory, he devised a way for a ...
Ian Goodfellow External Links. Google Scholar profile; Deep Learning textbook; General Information. Presentations
Bio. Ian Goodfellow has been a deep learning researcher since circa 2008. He developed the first defenses against adversarial examples, was among the first to study the security and privacy of neural networks, and helped to popularize the field of machine learning security and privacy. He is the lead author of the MIT Press textbook Deep ...
Sep 30, 2020 · Ian Goodfellow conceived generative adversarial networks while spitballing programming techniques with friends at a bar. Goodfellow, who views himself as “someone who works on the core technology, not the applications,” started at Stanford as a premed before switching to computer science and studying machine learning with Andrew Ng.
Dumitru Erhan Director of Research @ Google DeepMind. Joan Bruna Courant Institute of Mathematical Sciences, New York University. Kunal Talwar Apple Inc. Martin Abadi Research Scientist, Google, and Professor Emeritus, UC Santa Cruz. Alec Radford OpenAI. Follow.
Ian GOODFELLOW | Cited by 140,944 | of Université de Montréal, Montréal (UdeM) | Read 63 publications | Contact Ian GOODFELLOW
Ian Goodfellow (PhD in machine learning, University of Montreal, 2014) is a research scientist at Google. His research interests include most deep learning topics, especially generative models and machine learning security and privacy. He invented generative adversarial networks, was an influential early researcher studying adversarial examples ...
