Low Dimensional Representations Professors in Global

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José Sánchez
Chalmers University of Technology Sweden
high-dimensional data analysis
low-sample size data
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Francesca Chiaromonte
Pennsylvania State University United States of America
high-dimensional data
dimension reduction
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Debdeep Pati
University of Wisconsin–Madison United States of America
high-dimensional applications
high dimensional network analysis
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Fahimeh Mokhtari
Vrije Universiteit Amsterdam Netherlands
representation theory
symbolic computations
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Morris Cohen
Georgia Institute of Technology United States of America
low frequency radio waves
low frequency radio data
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Nathalie Wahl
University of Copenhagen Denmark
3-dimensional manifolds
2-dimensional manifolds
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Marcus Benna
University of California, San Diego United States of America
representational geometry
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Anna Rhodes
University of Edinburgh United Kingdom
landscape representations
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Ryan Grant
Queen's University Canada
low-level hardware-software interfaces
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Anahide Silahli
University of Southern Denmark Denmark
low-code programming
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Assaf Naor
Princeton University United States of America
high-dimensional spaces
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Myrto Mylopoulos
Carleton University Canada
motor representations
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Daniel Bub
University of Victoria Canada
motor representations
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Dan Bang
Aarhus University Denmark
learning representation
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Eric Babson
University of California, Davis United States of America
moduli representations
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Valeska Becker
University of Copenhagen Denmark
figural representations
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Christiane Gruber
University of Michigan United States of America
figural representations
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Felipe Jornada
Stanford University United States of America
nanostructured low-dimensional systems
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Aaron Towne
University of Michigan United States of America
reduced-complexity modeling
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Elmar Eisemann
Delft University of Technology Netherlands
alternative representations
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Emil Brandt
University of Copenhagen Denmark
aesthetic representation
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