Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series

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At the intersection of Topological Data Analysis (TDA) and machine learning, the field of cellular signal processing has advanced rapidly in recent years. In this context, each signal on the cells of a complex is processed using the combinatorial Laplacian ...

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We consider a family of boundary integral operators supported on a collection of parametrically defined bounded Lipschitz boundaries. Consequently, the boundary integral operators themselves also depend on the parametric variables, thus leading to a parame ...

Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series

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Unravelling the components of diffuse scattering using deep learning

Morse theoretic signal compression and reconstruction on chain complexes

Stripping the Swiss discount curve using kernel ridge regression

Reaction-Agnostic Featurization of Bidentate Ligands for Bayesian Ridge Regression of Enantioselectivity

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