Sparse Sampling for Inverse Problems With Tensors

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Sparse Sampling for Inverse Problems With Tensors

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Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

Reliable data-driven decision-making through optimal transport

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Aerodynamic modeling of a delta-wing UAV for model-based navigation

Orbital-Resolved DFT plus U for Molecules and Solids

Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models

SPEEDING UP KRYLOV SUBSPACE METHODS FOR COMPUTING f(A)b VIA RANDOMIZATION

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Numerical simulation of immiscible incompressible viscous, viscoelastic and elastic multiphase flows

Transcapacitances Modeling in ultra-thin gate-all-around junctionless nanowire FETs, including 2D quantum confinement

On the fast assemblage of finite element matrices with application to nonlinear heat transfer problems

Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions

An equilibrated flux a posteriori error estimator for defeaturing problems

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods