Shape Preserving Approximation Professors in Global

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Alexei Shadrin
University of Cambridge United Kingdom
shape-preserving approximation
approximation theory
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Jakob Zech
Heidelberg University Germany
approximation theory
structure-preserving machine learning
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Davoud Mirzaei
Uppsala University Sweden
function approximation
scattered data approximation
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Armin Iske
University of Hamburg Germany
numerical approximation
kernel-based approximation methods
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Karan Singh
University of Toronto Canada
shape modeling
shape perception
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Timo Reis
University of Hamburg Germany
approximation
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James Nichols
Australian National University Australia
approximation
high dimensional approximation theory
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Frances Kuo
University of New South Wales Australia
approximation
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Shakeel Gavioli-akilagun
London School of Economics United Kingdom
shape constrained estimation
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Sabyasachi Chatterjee
University of Illinois United States of America
shape constrained estimation
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Diyora Salimova
University of Freiburg Germany
approximation properties
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
shape-constrained prediction
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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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Michael Griebel
University of Bonn Germany
numerical approximation
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