Novel Algorithms on Impulse Radio Ultra-WideBand Ranging

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We study the binary symmetric perceptron model, and in particular its atypical solutions. While the solution-space of this problem is dominated by isolated configurations [1], it is also solvable for a certain range of constraint density α and threshold κ. ...

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Novel Algorithms on Impulse Radio Ultra-WideBand Ranging

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How to escape atypical regions in the symmetric binary perceptron: A journey through connected-solutions states

Spectral Estimators for High-Dimensional Matrix Inference

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

Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

Stability: a search for structure

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

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

A Gradient-Gated SPAD Array for Non-Line-of-Sight Imaging

Extensions of Peer Prediction Incentive Mechanisms

Valence can control the nonexponential viscoelastic relaxation of multivalent reversible gels

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

Exploiting the Signal-Leak Bias in Diffusion Models

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

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

Hitting with Probability One for Stochastic Heat Equations with Additive Noise

OASIS: An integrated optimisation framework for activity scheduling

Boosting likelihood learning with event reweighting

Graph generative deep learning models with an application to circuit topologies

An equilibrated flux a posteriori error estimator for defeaturing problems