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Raúl Tempone

Chair of Mathematics for Uncertainty Quantification, RWTH Aachen University, Computer, Electrical and Mathematical Sciences and Engineering, KAUST, and Alexander von Humboldt professor in Mathematics of Uncertainty Quantification, RWTH Aachen University

Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression

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Oct 08, 2024
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Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features

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Feb 01, 2024
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Scalable method for Bayesian experimental design without integrating over posterior distribution

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Jun 30, 2023
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Nonlinear Isometric Manifold Learning for Injective Normalizing Flows

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Mar 08, 2022
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On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods

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Sep 22, 2021
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Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation

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Jun 15, 2021
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Wind Field Reconstruction with Adaptive Random Fourier Features

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Feb 04, 2021
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