Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information

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Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information

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Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

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Global existence for perturbations of the 2D stochastic Navier-Stokes equations with space-time white noise

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Exploiting the Signal-Leak Bias in Diffusion Models

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

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

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

A Method of Moments Estimator for Interacting Particle Systems and their Mean Field Limit

Reliable data-driven decision-making through optimal transport

Extensions of Peer Prediction Incentive Mechanisms

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An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

Pseudo-Three-Dimensional Analytical Model of Linear Induction Motors for High-Speed Applications

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Machine Learning for Modeling Stock Returns

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Two-particle Bose-Einstein correlations and their Lévy parameters in PbPb collisions at √sNN=5.02 TeV