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Michaël Mathieu
Research Scientist
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I am currently a Research Scientist at DeepMind. Before that, I was a PhD Student at New York University under the direction of Yann LeCun; I graduating in May 2017.
My research is focused on Machine Learning, in particular Computer Vision, Unsupervised Learning, Predictive Learning and Reinforcement Learning.
My research is focused on Machine Learning, in particular Computer Vision, Unsupervised Learning, Predictive Learning and Reinforcement Learning.
Papers16 papers
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Oriol Vinyals, Igor Babuschkin,Wojciech M Czarnecki,Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H Choi, Richard Powell, Timo Ewalds, Petko Georgiev,Junhyuk Oh, Dan Horgan
Nature, pp.1-5, (2019)
international conference on learning representations, (2017)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016)
Annual Conference on Neural Information Processing Systems, (2015)
international conference on learning representations, (2015)
CoRR, (2015)
international conference on learning representations, (2015)
AISTATS, (2015)
International Conference on Learning Representations, (2014)
international conference on learning representations, (2014)
international conference on learning representations, (2014)
arXiv: Learning, (2014)
ICPRAM, pp.345-354, (2013)
Cited by12EIBibtex
Clinical Orthopaedics and Related Research, (2011): 491-499
NIPS, pp.1090-1098, (2010)
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