Fast Transform Convolution Algorithms Professors in Global

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Chris De Sa
Cornell University Netherlands
high-performance machine learning
stochastic algorithms
deep learning
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Gunnar Martinsson
University of Texas at Austin United States of America
efficient algorithms for large data sets
fast solvers
fast multipole methods
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
stochastic algorithms
deep learning
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
dynamic algorithms
sublinear algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
quantum algorithms
approximation algorithms
data stream algorithms
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Nicole Wein
University of Michigan United States of America
dynamic algorithms
distance-estimation algorithms
online algorithms
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Nima Anari
Stanford University United States of America
sampling algorithms
algorithms
parallel algorithms
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Debdeep Pati
University of Wisconsin–Madison United States of America
real-time tracking algorithms
efficient bayesian computation
fair algorithms
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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
optimization algorithms
discrete algorithms
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Olaf Schenk
Università della Svizzera italiana Switzerland
high-performance computing
multicore algorithms
manycore 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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Piotr Indyk
Massachusetts Institute of Technology United States of America
machine learning algorithms
data stream algorithms
high-dimensional computational geometry
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Srinivasa Gummidi
University of Southern Denmark Denmark
optimization algorithms
algorithms
online algorithms
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Christian Coester
University of Oxford United Kingdom
algorithms
learning-augmented algorithms
online algorithms
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Alexandr Andoni
Columbia University United States of America
sublinear algorithms
algorithmic foundations
high-dimensional computational geometry
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Dimosthenis Pasadakis
Università della Svizzera italiana Switzerland
numerical algorithms
extreme-scale computing
high-dimensional data analysis
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Suchuan Dong
Purdue University United States of America
algorithms for dynamic simulations
high performance computing
high-order numerical methods
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Vladimir Okhmatovski
University of Manitoba Canada
fast algorithms
high-performance computing
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Vladimir Rokhlin
Yale University United States of America
fast deterministic randomized algorithms
randomized algorithms
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Mark Schmidt
University of British Columbia Canada
faster algorithms
large-scale machine learning
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Lars Karlsson
Umeå University Sweden
efficient algorithms
high-performance computing
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