Nonlocal Means With Dimensionality Reduction and SURE-Based Parameter Selection

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Nonlocal Means With Dimensionality Reduction and SURE-Based Parameter Selection

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High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

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Stability: a search for structure

SPACE-TIME REDUCED BASIS METHODS FOR PARAMETRIZED UNSTEADY STOKES EQUATIONS

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Randomized flexible GMRES with deflated restarting

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Scalable and Privacy-Preserving Federated Principal Component Analysis

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An equilibrated flux a posteriori error estimator for defeaturing problems

DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices

Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine

Quantization for Decentralized Learning Under Subspace Constraints