Generating Functions Professors in Global

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Amos Storkey
University of Edinburgh United Kingdom
generative models
generative ai
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Ingo Ziegler
University of Copenhagen Denmark
generative modeling
synthetic data generation
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Dmitry Belyaev
University of Oxford United Kingdom
random functions
geometric function theory
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Mingfeng Lin
Georgia Institute of Technology United States of America
generative ai
user-generated content
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Niloy Mitra
University College London United Kingdom
generative models
geometry processing
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Michael Cook
King's College London United Kingdom
generative software
computational creativity
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Dicle Ozdemir
Erasmus University Rotterdam Netherlands
generative ai
user-generated content
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Daphne Ippolito
Carnegie Mellon University United States of America
text generation
natural language generation
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Ahmed Hagras
University of the West of England United Kingdom
generative design
programming
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Stefan Monnier
University of Montreal Canada
functional programming
compiling
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Aarne Ranta
University of Gothenburg Sweden
functional programming
multilingual text generation
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Volodymyr Kuleshov
Cornell University Netherlands
generative probabilistic methods
diffusion-based generative algorithms
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Yevgeniy Dodis
New York University United States of America
hash functions
random number generation
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Mark Plumbley
King's College London United Kingdom
generative audio
generation of sound
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Mark Howe
Boston University United States of America
motor functions
cognitive functions
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Tiziano Santilli
University of Southern Denmark Denmark
content generation
report generation
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Martin Hallnäs
University of Gothenburg Sweden
special functions
hypergeometric functions
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Noah Drew
Concordia University Canada
performance creation
collective creation
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Marc Feeley
University of Montreal Canada
compiling
functional programming language
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Shova Neupane
Technical University of Denmark Denmark
report generation
insights generation
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Raquel Valente
Technical University of Denmark Denmark
report generation
insights generation
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