Ben Erichson

Randomized Dimension Reduction Library

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Randomized Matrix Decompositions using R

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Dynamic Mode Decomposition

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Consistent Koopman Autoencoders

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Lipschitz Recurrent Neural Networks

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Optimal Hard Threshold for Matrix Denoising

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Randomized Tensor Decompositions

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Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data

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Sparse Principal Component Analysis (SPCA) using Variable Projection

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