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Oxford Applied and Theoretical Machine Learning Group - OATML

The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).



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Oxford Applied and Theoretical Machine Learning Group - OATML

https://oatml.cs.ox.ac.uk/

The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).



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https://oatml.cs.ox.ac.uk/

Oxford Applied and Theoretical Machine Learning Group - OATML

The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).

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      Oxford Applied and Theoretical Machine Learning Group - OATML
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      The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).
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      The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).

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      The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).

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