Approximate Message Passing Professors in Global

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Davoud Mirzaei
Uppsala University Sweden
function approximation
scattered data approximation
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Alexei Shadrin
University of Cambridge United Kingdom
approximation theory
shape-preserving approximation
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Armin Iske
University of Hamburg Germany
numerical approximation
kernel-based approximation methods
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Ryan Grant
Queen's University Canada
message passing
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Michael Orshansky
University of Texas at Austin United States of America
approximate computing
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Ulrich Dahl
Technical University of Berlin Germany
approximate computing
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Eva Bruggisser
Uppsala University Sweden
approximate computing
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Joshua San Miguel
University of Wisconsin–Madison United States of America
approximate computing
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Adrian Sampson
Cornell University Netherlands
approximate computing
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Michael Orshansky
University of Texas at Austin United States of America
approximate computing
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Luis Ceze
University of Washington United States of America
approximate computing
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Natalie Enright Jerger
University of Toronto Canada
approximate computing
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Timo Reis
University of Hamburg Germany
approximation
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James Nichols
Australian National University Australia
approximation
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Frances Kuo
University of New South Wales Australia
approximation
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Panagiotis Charalampopoulos
King's College London United Kingdom
approximate pattern matching
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Nooshin Salari
University of Alberta Canada
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approximate dynamic programming
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Alessio Trivella
University of Twente Netherlands
approximate dynamic programming
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Christiane Barz
University of Zurich Switzerland
approximate dynamic programming
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Silvia Ferrari
Cornell University Netherlands
approximate dynamic programming
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Dan Adelman
University of Chicago Booth School of Business United States of America
approximate dynamic programming
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