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Regularization of ill-posed inverse problems under mixed precision arithmetics
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Nonnegative Matrix Factorization for Music - Tuning the NMF Algorithm with Regularization
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Improving Multigrid Methods with Deep Neural Networks
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Large Scale Inverse Problems: Low-Rank Approximations and Optimization
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Generating Graphs with Deep Learning and Graph Theory
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Estimating and Predicting the Effect of Quarantine in the COVID-19 Pandemic: Using a Modified SEIR Model
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Optimal Control Approaches for Designing Neural Ordinary Differential Equations
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Patient-Specific Modeling in Cardiac Electrophysiology: Parameter Estimation and Personalization
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Smoothing Tensor Factorization on Spatio-Temporal Data
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Multiresolution Methods for Convolutional Neural Networks
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