Kevin T. Carlberg
Kevin T. Carlberg
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Remembering my ignorance
Implicit neural representations for model reduction
Online adaptive basis refinement and compression for reduced-order models via vector-space sieving
Time-series machine-learning error models for approximate solutions to parameterized dynamical systems
Nonlinear model reduction: using machine learning to enable rapid simulation of extreme-scale physics models
Convolutional autoencoders and LSTMs: Using deep learning to overcome Kolmogorov-width limitations and accurately model errors in nonlinear model reduction
Nonlinear model reduction: Using machine learning to enable rapid simulation of extreme-scale physics models
Model reduction for hypersonic aerodynamics via conservative LSPG projection and hyper-reduction
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
Nonlinear reduced-order modeling: Using machine learning to enable extreme-scale simulation for many-query problems
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