Tensor Network Algorithms Professors in Global

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Nicole Wein
University of Michigan United States of America
online algorithms
distance-estimation algorithms
dynamic algorithms
graph algorithms
distributed algorithms
parameterized algorithms
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Marc Renault
University of Wisconsin United States of America
search algorithms
online algorithms
approximation algorithms
offline algorithms
streaming algorithms
analysis of algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
quantum algorithms
approximation algorithms
data stream algorithms
graph algorithms
theoretical databases
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Debarati Das
Pennsylvania State University United States of America
clustering algorithms
approximation algorithms
graph algorithms
string algorithms
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
graph algorithms
discrete algorithms
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
sublinear algorithms
dynamic algorithms
graph algorithms
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Brokoslaw Laschowski
University of Toronto Canada
neural networks
brain-inspired algorithms
machine learning
neural computation
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Jaime Llorca
New York University Tandon School of Engineering United States of America
network algorithms
network optimization
machine learning
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Balaji Prabhakar
Stanford University United States of America
network algorithms
data networks
stochastic network theory
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Srinivasa Gummidi
University of Southern Denmark Denmark
optimization algorithms
online algorithms
algorithms
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Nima Anari
Stanford University United States of America
sampling algorithms
algorithms
parallel algorithms
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George Papavassilopoulos
University of Southern California United States of America
genetic algorithms
optimization algorithms
parallel algorithms
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Tarek Hegazi
University of Waterloo Canada
genetic algorithms
neural networks
evolutionary algorithms
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Asish Mukhopadhyay
University of Windsor Canada
algorithms
approximation algorithms
graph algorithms
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Nicklas Werge
University of Southern Denmark Denmark
optimization algorithms
online algorithms
machine learning
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Sean Chester
Aarhus University Denmark
algorithms
parallel algorithms
graph algorithms
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Inge Gørtz
Technical University of Denmark Denmark
algorithms
approximation algorithms
graph algorithms
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John Reif
Duke University Singapore
randomized algorithms
parallel algorithms
graph algorithms
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning algorithms
machine learning
machine learning theory
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Norbert Zeh
Dalhousie University Canada
algorithms
parallel algorithms
graph algorithms
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Christian Coester
University of Oxford United Kingdom
online algorithms
algorithms
learning-augmented algorithms
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