Generative Probabilistic Methods Professors in Global

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John Anderson
Carnegie Mellon University United States of America
mathematical methods
statistical methods
computational methods
behavioral methods
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Syed Haider
Columbia University United States of America
generative ai
bayesian methods
predictive modeling
probability
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Molei Tao
Georgia Institute of Technology United States of America
generative modeling
geometric methods
probabilistic machine learning
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Oleg Pikhurko
University of Warwick United Kingdom
probabilistic methods
algebraic methods
analytic methods
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Marcus Brubaker
York University Canada
generative models
probabilistic programming
bayesian methods
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Yingzhen Li
Imperial College London United Kingdom
generative modeling
probabilistic machine learning
adaptive methods
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Amos Storkey
University of Edinburgh United Kingdom
generative models
generative ai
bayesian methods
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Monique Laurent
Tilburg University Netherlands
geometric methods
combinatorial methods
algebraic methods
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Dave Touretzky
Carnegie Mellon University United States of America
mathematical methods
statistical methods
computational methods
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Caleb Pomeroy
University of Toronto Canada
statistical methods
computational methods
experimental methods
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Mike Tarr
Carnegie Mellon University United States of America
mathematical methods
statistical methods
behavioral methods
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
statistical methods
biostatistical methods
methodological statistical research
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Ewen Harrison
University of Edinburgh United Kingdom
statistical methods
qualitative research methods
predictive modeling
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Kemal Büyükkurt
Concordia University Canada
probabilistic choice models
subjective probability distributions
probabilistic decision support systems
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Shiva Tavallaey
KTH Royal Institute of Technology Sweden
probabilistic analysis
data-driven methods
model-based methods
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Ingemar André
Lund University Sweden
computational methods
experimental methods
high-throughput methods
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Adriano Polpo
University of Western Australia Australia
classification methods
bayesian methods
predictive data analysis
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Ivan Kryven
Utrecht University Netherlands
numerical methods
probability
randomized algorithms
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Martin Möhle
Eberhard Karls University Tübingen Germany
probabilistic number theory
probability theory
mathematical population genetics
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Volodymyr Kuleshov
Cornell University Netherlands
generative probabilistic methods
diffusion-based generative algorithms
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Volodymyr Kuleshov
Cornell University Netherlands
probabilistic methods
generative models
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