Numerical Machine Learning Methods Professors in Global

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Monika Eisenmann
Lund University Sweden
stochastic numerical analysis
machine learning
numerical approximation
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Luke Miller
Radboud University Netherlands
machine learning
neural network modeling
neural computations
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Dongmei Chen
Queen's University Canada
ai-based methods
machine learning
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Ralf Peeters
Maastricht University Netherlands
mathematical artificial intelligence techniques
machine learning
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Kathrin Gruber
Erasmus University Rotterdam Netherlands
probabilistic machine learning
bayesian methods
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Gunnar Martinsson
University of Texas at Austin United States of America
randomized methods
numerical methods for scattering problems
numerical linear algebra
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Molei Tao
Georgia Institute of Technology United States of America
geometric methods
probabilistic machine learning
machine learning
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Yingzhen Li
Imperial College London United Kingdom
probabilistic machine learning
machine learning
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Klaus-robert Müller
Technical University of Berlin Germany
probabilistic machine learning
machine learning
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Klaus Müller
Technical University of Berlin Germany
probabilistic machine learning
machine learning
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Paul Henderson
University of Glasgow United Kingdom
probabilistic machine learning
machine learning
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Magnus Ross
University College London United Kingdom
probabilistic machine learning
machine learning
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Geoff Pleiss
University of British Columbia Canada
probabilistic machine learning
machine learning
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Heather Wilber
University of Washington United States of America
nonlinear approximation methods
numerical linear algebra
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Yoshua Bengio
University of Montreal Canada
statistical learning algorithms
machine learning
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Tapabrata Maiti
Michigan State University United States of America
bayesian methods
biostatistical methods
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Ammar Sarhan
Dalhousie University Canada
statistical methods
bayesian methods
non-bayesian methods
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Paul Bilokon
Imperial College London United Kingdom
bayesian methods
machine learning
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Ian Nabney
University of Bristol United Kingdom
bayesian methods
machine learning
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Edwin Simpson
University of Bristol United Kingdom
bayesian methods
machine learning
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Amos Storkey
University of Edinburgh United Kingdom
bayesian methods
machine learning
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