Modeling of distortion caused by Markov-model burst packet losses in video transmission

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Modeling of distortion caused by Markov-model burst packet losses in video transmission

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Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

Spectral Estimators for High-Dimensional Matrix Inference

Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

Partial discharge localization in power transformer tanks using machine learning methods

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

A mmWave Low Complexity and Low-Cost Super Wideband Dual-Polarized Aperture Coupled Antenna for 5G Applications

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

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Graph generative deep learning models with an application to circuit topologies

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization

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

Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures

Quantization for Decentralized Learning Under Subspace Constraints

Timing and spatial selection bias in rapid extreme event attribution

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

State-Based Versus Time-Based Estimation of the Gait Phase for Hip Exoskeletons in Steady and Transient Walking

An equilibrated flux a posteriori error estimator for defeaturing problems

Distributionally Robust Linear Quadratic Control

Modeling local thermal responses of individuals: Validation of advanced human thermo-physiology models