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Robust Feature Matching
Robust Feature Matching Professors in Global
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Professor
Yaoliang Yu
University of Waterloo
Canada
robust stochastic optimization
robustness
generative modelling
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Professor
John Oommen
Carleton University
Canada
pattern recognition
statistical pattern recognition
syntactic pattern recognition
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Professor
Changming Sun
University of New South Wales
Australia
image matching
feature detection
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Professor
Flora Salim
University of New South Wales
Australia
robust machine learning
trustworthy machine learning
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Professor
David Inouye
Purdue University
United States of America
robust machine learning
trustworthy machine learning
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Professor
Neil Stewart
University of Montreal
Canada
robust algorithms
solid modeling
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Professor
Sushil Varma
University of Michigan
United States of America
dynamic matching
matching markets
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Professor
Cassio De Campos
Eindhoven University of Technology
Belgium
robust artificial intelligence
reliable machine learning
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Professor
Omar El Housni
Cornell University
Netherlands
robust algorithms
online matchings
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Professor
Inge Gørtz
Technical University of Denmark
Denmark
pattern matching
approximation algorithms
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Professor
Alberto Apostolico
Georgia Institute of Technology
United States of America
combinatorial pattern matching
pattern discovery
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Professor
Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg
Germany
robust bayesian optimization
distributionally robust optimization
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Professor
Panagiotis Charalampopoulos
King's College London
United Kingdom
approximate pattern matching
regularity detection
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Professor
Dingke Tang
University of Ottawa
Canada
robust statistics
large language models
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Professor
Hamed Hassani
University of Pennsylvania
United States of America
graph matching
robustness
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Professor
Yudong Chen
University of Warwick
United Kingdom
robust statistics
large language models
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Professor
Elizaveta Rebrova
Princeton University
United States of America
robust interpretable learning
randomized algorithms
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Professor
Elizaveta Rebrova
Princeton University
United States of America
robust interpretable learning
randomized algorithms
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Professor
Guang Lin
Purdue University
United States of America
robust ai
predictive modeling
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Professor
Steve Alpern
University of Warwick
United Kingdom
mutual-choice matching problems
decentralized matching theory
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Professor
Garth Tarr
University of Sydney
Australia
robust statistics
feature selection
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