Sparse Neural Networks Professors in Global

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Tatjana Pavlenko
Uppsala University Sweden
sparse signal detection
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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Lei Zhang
University of Regina 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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Stefanie Czischek
University of Ottawa 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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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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Rina Foygel Barber
University of Chicago United States of America
sparse regression
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Rina Foygel Barber
University of Chicago United States of America
sparse regression
sparse nonparametric models
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Anica Kostic
London School of Economics United Kingdom
sparse modelling
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Guillermo Sapiro
Duke University Singapore
sparse modeling
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Joel Tropp
California Institute of Technology United States of America
sparse modeling
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Guillaume Obozinski
École Polytechnique Fédérale de Lausanne Switzerland
sparse modeling
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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Irina Rish
University of Montreal Canada
sparse modeling
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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Morten Nielsen
Aalborg University Denmark
sparse signal processing
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Elias Zea Marcano
KTH Royal Institute of Technology Sweden
sparse signal processing
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Svenska Stenström
University of Gothenburg Sweden
sparse tensor computations
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Flavio Nicoletti
University of Gothenburg Sweden
sparse random graphs
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