Deep Representation Learning Professors in Global

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Christoph Reisinger
University of Oxford United Kingdom
deep neural networks
reinforcement learning
mathematical computational modeling
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Congcong Sun
Wageningen University & Research Netherlands
reinforcement learning
dynamic modeling
neural networks
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
machine learning
reinforcement learning
large language models
neural networks
statistical learning
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Javad Alirezaie
Toronto Metropolitan University Canada
computer vision modeling
neural networks
pattern recognition
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Melih Kandemir
University of Southern Denmark Denmark
deep neural networks
machine learning
reinforcement learning
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Jimmy Ba
University of Toronto Canada
deep neural networks
machine learning
reinforcement learning
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Mingyuan Zhou
University of Texas at Austin United States of America
deep neural networks
reinforcement learning
probabilistic machine learning
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Marios Philiastides
University of Glasgow United Kingdom
neural representations
computational modelling
reinforcement learning
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Yee Teh
University of Oxford United Kingdom
deep learning
machine learning
large scale machine learning
probabilistic learning
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Tolga Birdal
Imperial College London United Kingdom
topological deep learning
geometric machine learning
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Mert Pilanci
Stanford University United States of America
large scale machine learning
neural networks
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Kurt Driessens
Maastricht University Netherlands
machine learning
data representation
reinforcement learning
relational learning
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Kurt Driessens
Maastricht University Netherlands
machine learning
data representation
reinforcement learning
relational learning
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Yuxin Chen
University of Pennsylvania United States of America
reinforcement learning
machine learning theory
statistical machine learning
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Petar Kormushev
Imperial College London United Kingdom
machine learning
reinforcement learning
robot learning algorithms
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning theory
machine learning algorithms
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Ambuj Tewari
University of Michigan United States of America
machine learning
reinforcement learning
theory of machine learning
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Sitan Chen
Harvard University United States of America
quantum learning
algorithmic learning
generative modeling
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Giorgia Ramponi
University of Zurich Switzerland
machine learning
reinforcement learning
mathematical modeling
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Francisco Cruz Naranjo
University of New South Wales Australia
reinforcement learning
artificial neural networks
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Kathryn Kasmarik
University of New South Wales Australia
reinforcement learning
artificial neural networks
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