Professors Svetlana Mojsov and Carlos Kenig, among other eminent figures, were selected to win the 48th session of the prize.

This paper proposes a domain constraint strategy based on the k-means algorithm and combines it with the currentbased learning method for the inversion of highly nonlinear targets. The nonlinearity of ...

We propose a new method called Decoupled Annealing Posterior Sampling (DAPS) that relies on a novel noise annealing process to solve posterior sampling with diffusion prior. Specifically, we decouple ...

ABSTRACT: In Computed Tomography (CT), the beam hardening artifacts are caused by polychromatic X-ray beams applied in real medical imaging. In this article, we applied the recently proposed ...

1 Dipartimento di Scienze della Terra e Geoambientali, Università di Bari “Aldo Moro”, Bari, Italy 2 Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy Circular crack models with a constant ...

The Parker-Oldenburg method, as a classical frequency-domain algorithm, has been widely used in Moho topographic inversion. The method has two indispensable hyperparameters, which are the Moho density ...

This repository contains code written to provide a comparison between the posterior distributions generated by several methods for approximate Bayesian inference, and the posterior characterised using ...

Abstract: Numerous learning-based methods have been proposed to address the challenging task of solving inverse scattering problems (ISPs), with the requirement of ample labeled training datasets. To ...

ABSTRACT: The issues of solvability and construction of a solution of the Fredholm integral equation of the first kind are considered. It is done by immersing the original problem into solving an ...