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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Niloy Mitra
University College London United Kingdom
generative models
geometry processing
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Niloy Mitra
University College London United Kingdom
generative models
geometry processing
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Dicle Ozdemir
Erasmus University Rotterdam Netherlands
generative ai
user-generated content
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Mingfeng Lin
Georgia Institute of Technology United States of America
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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Aarne Ranta
University of Gothenburg Sweden
functional programming
multilingual text generation
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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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Chenghua Lin
University of Manchester United Kingdom
data-to-text generation
probabilistic generative models
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Albert Gatt
Utrecht University Netherlands
data-to-text generation
natural language generation
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Jeet Sampat
University of Manitoba Canada
function theory
holomorphic functions
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Peter Bæk
Aarhus University Denmark
report generation
insights generation
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Shova Neupane
Technical University of Denmark Denmark
report generation
insights generation
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Jonas Eliasson
Technical University of Denmark Denmark
report generation
insights generation
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Julie Schulz
Technical University of Denmark Denmark
report generation
insights generation
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Pengxiang Wang
Technical University of Denmark Denmark
report generation
insights generation
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Martin Pastoors
Technical University of Denmark Denmark
report generation
insights generation
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