Stochastic Downscaling Professors in Global

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Arson Lab
Cornell University Netherlands
multi-scale modeling
numerical modeling
deep learning
model reduction
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Huan Lei
Michigan State University United States of America
stochastic simulations
multi-scale modeling
model reduction
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Nazim Khan
University of Western Australia Australia
stochastic modelling
time series modelling
statistical clustering
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Michael Chen
York University Canada
stochastic optimization
deep learning
large scale optimization
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Nick Whiteley
University of Bristol United Kingdom
bayesian modelling
probabilistic modelling
high-dimensional dynamic stochastic systems
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Geoff Pleiss
University of British Columbia Canada
deep learning
probabilistic modeling
bayesian optimization
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Katrina Lythgoe
University of Oxford United Kingdom
stochastic modelling
deterministic modelling
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Spyridon Pougkakiotis
King's College London United Kingdom
stochastic optimisation
large-scale deterministic optimisation
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Daniel Laydon
Imperial College London United Kingdom
stochastic modelling
mathematical modelling
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William Knottenbelt
Imperial College London United Kingdom
stochastic modelling
mathematical modelling
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Huan Lei
Michigan State University United States of America
stochastic simulations
multiscale modeling
model reduction
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Mark Van Oyen
University of Michigan United States of America
stochastic optimization
machine learning
online stochastic optimization
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Ali Beikmohammadi
Stockholm University Sweden
stochastic optimization
deep learning
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Xiucai Ding
University of California, Davis United States of America
stochastic optimization
deep learning
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Krishna Balasubramanian
University of California, Davis United States of America
stochastic optimization
deep learning
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Vikram Krishnamurthy
Cornell University Netherlands
stochastic optimization
statistical signal processing
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Jacob Fish
Columbia University United States of America
stochastic multiscale methods
reduced order multiscale methods
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Albert Berahas
University of Michigan United States of America
stochastic optimization
constrained optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
machine learning
constrained optimization
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Xiaofei Shi
University of Toronto Canada
stochastic optimization
stochastic differential equations
machine learning
dimensionality reduction
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Quan Zhou
Texas A&M University United States of America
stochastic optimization
iterative algorithms
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