High Dimensional Probabilistic Models Professors in Global

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Gerard Gorman
Imperial College London United Kingdom
high-performance computing
multi-scale modeling
multi-physics modeling
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Frank Wood
University of British Columbia Canada
deep generative modeling
probabilistic programming
applied probabilistic machine learning
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Jack Lee
King's College London United Kingdom
high-resolution imaging
multiscale modeling
computational modeling
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David Thomas
University of Southampton United Kingdom
high-performance computing
high-level synthesis
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Yali Amit
University of Chicago United States of America
stochastic models
statistical models
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Yali Amit
University of Chicago United States of America
stochastic models
statistical models
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Vikram Gavini
University of Michigan United States of America
high-performance computing
multi-scale modeling
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Bernd Dammann
Technical University of Denmark Denmark
high-performance computing
large scale computations
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Marta Kryven
Dalhousie University Canada
computational models
large language models
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Thomas Wong
Australian National University Australia
high-performance computing
statistical models
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Stephen Raudenbush
University of Chicago United States of America
hierarchical linear models
statistical models
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Kevin Vinsen
University of Western Australia Australia
high-performance computing
large language models
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Nozomu Yachie
University of British Columbia Canada
high-performance computing
high-resolution imaging
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Andrew Holbrook
University of California Los Angeles United States of America
high-performance computing
hierarchical modelling
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Rajesh Ranganath
New York University United States of America
deep generative modeling
probabilistic inference
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Raúl Radovitzky
Massachusetts Institute of Technology United States of America
high-performance computing
multiscale modeling
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Félix Kwok
Laval University Canada
high-performance computing
mathematical modelling
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Benjamin Zwick
University of Western Australia Australia
high-performance computing
mathematical modelling
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Unknown Unknown
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
high-performance computing
computational modeling
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Mostafa Jamshidian
University of Western Australia Australia
high-performance computing
computational modeling
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Moses Charikar
Stanford University United States of America
efficient algorithmic techniques for processing high-dimensional data sets
efficient algorithms for computational problems in high-dimensional statistics
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