Kevin T. Carlberg
Kevin T. Carlberg
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New adventure
Moving to Facebook Research
Data-driven time-parallelism accepted into SISC
Data-driven coarse propagation to accelerate convergence
Paper on machine learning error models published in CMAME
Using regression to model approximate-solution errors
Joining SISC editorial board
Becoming Associate Editor
Preprint on model reduction on nonlinear manifolds using deep convolutional autoencoders now available
Using deep learning to overcome Komolgorov-width limitation
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