David Warde-Farley
David Warde-Farley is a machine learning researcher who co-wrote Maxout Networks in 2013 and Generative Adversarial Nets in 2014. NeurIPS gave Generative Adversarial Nets a 2024 Test of Time award, recognizing its influence on the research field since 2014. After degrees at the University of Toronto, he completed a PhD under Yoshua Bengio at Université de Montréal in 2016. As of October 2026, he is a staff research scientist at DeepMind in London.
- Now at
- Google DeepMind
- Works
- 61
- Citations
- 34,900
- h-index
- 23
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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2013
Maxout Networks paper
In 2013, he co-authors Maxout Networks, a paper in the proceedings of the International Conference on Machine Learning.
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2014
Generative Adversarial Nets paper
In 2014, he co-authors Generative Adversarial Nets, a NeurIPS paper that proposes a new framework for estimating generative models via an adversarial process.
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2016
A doctorate under Yoshua Bengio
Under Yoshua Bengio at Université de Montréal, he completes his PhD research in 2016, after bachelor's and master's degrees at the University of Toronto.
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2024
A Test of Time award
NeurIPS gives its 2024 Test of Time award to Generative Adversarial Nets, which has significantly shaped the research field since 2014.
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As of October 2026
Research scientist at DeepMind
He works as a staff research scientist at DeepMind in London.
Sources and credits
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- Maxout Networks
- Proceedings of Machine Learning Research | Proceedings of the 30th International Conference on Machine Learning Held in Atlanta, Georgia, USA on 17-19 June 2013
- Mila’s expertise highlighted at NeurIPS 2024 | Mila
- [1406.2661] Generative Adversarial Networks
- David Warde-Farley
- Announcing the NeurIPS 2024 Test of Time Paper Awards – NeurIPS Blog