Adaptive Sampling Professors in Global

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George Exarchakos
Eindhoven University of Technology Belgium
topology adaptation
content-based network adaptivity
predictive networks
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Simin Nadjm-tehrani
Linköping University Sweden
adaptive anomaly detection
adaptive resource allocation
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Howard Schwartz
Carleton University Canada
adaptive control
adaptive learning systems
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Howard Schwartz
Carleton University Canada
adaptive control
adaptive learning systems
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Hongyang Dong
University of Warwick United Kingdom
adaptive control
adaptive dynamic programming
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Audrey Durand
Laval University Canada
adaptive learning systems
adaptive agents
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Yingzhen Li
Imperial College London United Kingdom
adaptive methods
generative modeling
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Evan Shelhamer
University of British Columbia Canada
adaptive computation
adaptation
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Molei Tao
Georgia Institute of Technology United States of America
sampling
generative modeling
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Mustafa Mohamad
University of Calgary Canada
sampling
data assimilation
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Aaron Tong
University of British Columbia Canada
adaptive control
predictive control
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Boris Lohmann
Technical University of Munich Germany
adaptive control
predictive control
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Agnes D’entremont
University of British Columbia Canada
adaptive control
predictive control
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Stephen Tu
University of Southern California United States of America
adaptive control
imitation learning
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Ali Sayed
École Polytechnique Fédérale de Lausanne Switzerland
adaptive networks
adaptation learning theories
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Amber Walraven
Radboud University Netherlands
adaptive capacity
adaptive expertise
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Clark Lab
University of Pittsburgh United States of America
adaptive evolution
evolutionary adaptation
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Nisha Chandramoorthy
University of Chicago United States of America
sampling algorithms
data assimilation
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Xiaoou Li
University of Minnesota United States of America
adaptive design
importance sampling
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Fotios Kokkotos
Boston University United States of America
sampling theory
predictive analytics
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Kevin Smith
Royal Institute of Technology Sweden
model adaptation
generative modeling
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