Sparse Neural Networks Professors in Global

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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Trac-duy Tran
Johns Hopkins University United States of America
sparse representation
sparse recovery
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Ian Wassell
University of Cambridge United Kingdom
sparse representation data
sparse image video coding
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Steven Brunton
University of Washington United States of America
sparse sensing
optimal placement of sparse sensors and actuators
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Tatjana Pavlenko
Uppsala University Sweden
sparse signal detection
statistical machine learning
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Florentina Bunea
Cornell University Netherlands
sparsity
statistical machine learning
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
structured sparsity
statistical machine learning
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Florentina Bunea
Cornell Bowers University United States of America
sparsity dimension reduction
statistical machine learning
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Stefanie Czischek
University of Ottawa Canada
spiking neural networks
artificial neural networks
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Leonard Maceachern
Carleton University Canada
spiking neural networks
artificial neural networks
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Lei Zhang
University of Regina Canada
spiking neural networks
artificial neural networks
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Arthur Lee
Boston University United States of America
neural patterns
neural predictions
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John Oommen
Carleton University Canada
neural networks
stochastic learning
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Shadi Abpeikar
University of New South Wales Australia
neural networks
neural trees
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Jonathan Weare
New York University United States of America
statistical machine learning
stochastic algorithms
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Andreas Daffertshofer
Vrije Universiteit Amsterdam Netherlands
stochastic neural models
neural synchronization
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Kamran Diba
University of Michigan United States of America
statistical machine learning
neuronal networks
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Yani Ioannou
University of Calgary Canada
sparse neural networks
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Vassilis Digalakis
Boston University United States of America
sparse machine learning
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Alper Atamturk
University of California, Berkeley United States of America
sparse learning
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Aydin Buluç
University of California, Berkeley United States of America
sparse computations
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