Numerical Machine Learning Methods Professors in Global

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John Anderson
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
behavioral methods
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Kenneth Jackson
University of Toronto Canada
numerical methods
numerical methods for partial differential equations
numerical weather prediction
numerical air quality modeling
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Yuchen Zhou
University of Illinois United States of America
statistical methods
machine learning
computational techniques
statistical learning
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Chiheb Ben Hammouda
Utrecht University Netherlands
numerical machine learning methods
machine learning
hierarchical approximation methods
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Ben Adcock
Simon Fraser University Canada
numerical methods
numerical analysis
machine learning
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Dave Touretzky
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Martin Andersen
Technical University of Denmark Denmark
numerical methods algorithms
numerical optimization
machine learning
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Mattias Sandberg
KTH Royal Institute of Technology Sweden
numerical methods
analytical methods
machine learning
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Edmond Chow
Georgia Institute of Technology United States of America
numerical methods
numerical linear algebra
machine learning
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Mattias Sandberg
Royal Institute of Technology Sweden
analytical numerical methods
computational methods
machine learning
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Christoph Federrath
Australian National University Australia
numerical methods
computational techniques
observational methods
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Carlo Fiorina
Texas A&M University United States of America
numerical methods development
acceleration numerical methods
machine learning
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Michiel Hochstenbach
Eindhoven University of Technology Belgium
numerical algorithms
numerical analysis
numerical linear algebra
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Mike Tarr
Carnegie Mellon University United States of America
mathematical methods
statistical methods
behavioral methods
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Eli Ben-michael
Carnegie Mellon University United States of America
computational methods
statistical methods
machine learning
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Bamdad Hosseini
University of Washington United States of America
computational methods
numerical analysis
machine learning
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Sheehan Olver
Imperial College London United Kingdom
computational methods
numerical analysis
spectral methods
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Michelle Wang
University of Illinois United States of America
statistical methods
quantitative methods
machine learning
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Jesper Wulff
Aarhus University Denmark
statistical methods
quantitative methods
machine learning
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Sanzheng Qiao
McMaster University Canada
numerical methods for signal processing
numerical linear algebra
numerical software
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Yuehaw Khoo
University of Chicago United States of America
neural-network methods
tensor-network methods
computational data-driven techniques
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