Probabilistic Programming Languages Professors in Global

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Jeffrey Siskind
Purdue University United States of America
programming languages
mostly-functional programming languages
programming environments
computational linguistics
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Aarne Ranta
Chalmers University of Technology Sweden
programming languages
computational linguistics
functional programming
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John Reppy
University of Chicago United States of America
programming languages
parallel programming
functional programming
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Ilan Adler
University of California, Berkeley United States of America
probabilistic analysis
mathematical programming
linear programming
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Stephanie Weirich
University of Pennsylvania United States of America
programming languages
generic programming
functional programming
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Jeremy Gibbons
University of Oxford United Kingdom
programming languages
programming methodology
functional programming
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Gilbert Bernstein
University of Washington United States of America
programming languages
high-performance domain-specific languages
differentiable programming
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Jean-philippe Bernardy
University of Gothenburg Sweden
probabilistic approaches
domain-specific languages
natural language processing
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Fabian Bastin
University of Montreal Canada
stochastic programming
mathematical programming
nonlinear programming
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Olivier Danvy
Aarhus University Denmark
programming languages semantics
domain-specific languages
functional programming
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Patrik Jansson
University of Gothenburg Sweden
domain-specific languages
dependently-typed programming
functional programming
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Christopher Manning
Stanford University United States of America
computational linguistics
natural language processing
multilingual language processing
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Krasimir Angelov
University of Gothenburg Sweden
computational linguistics
functional programming
natural language processing
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Raquel Fernández Rovira
University of Amsterdam Netherlands
computational linguistics
language processing
natural language processing
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Renato Monteiro
Georgia Institute of Technology United States of America
linear programming
complexity algorithms
nonlinear programming
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Aarne Ranta
University of Gothenburg Sweden
computational linguistics
functional programming
natural language processing
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Martin Rehm
University of Southern Denmark Denmark
computational linguistics
natural language processing
large language models
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Ivan Kryven
Utrecht University Netherlands
random approximation algorithms
randomized algorithms
probability
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Kyle Mahowald
University of Texas at Austin United States of America
computational linguistics
natural language processing
large language models
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Anton Malko
Australian National University Australia
computational linguistics
natural language processing
real-time language processing
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Marc Feeley
University of Montreal Canada
high-level programming language
functional programming language
dynamic programming language
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