activity
20182022
most citedClassification and image processing with a semi-discrete scheme for fidelity forced Allen--Cahn on graphs

18 citations · 18 across the 2 of their papers we have counts for

collaborators

6 papers

math.PR2022

Gaussian random fields on non-separable Banach spaces

Yury Korolev, Jonas Latz, Carola-Bibiane Schönlieb

We study Gaussian random fields on certain Banach spaces and investigate conditions for their existence. Our results apply inter alia to spaces of Radon measures and Hölder functio…

math.NA202018 cited

Classification and image processing with a semi-discrete scheme for fidelity forced Allen--Cahn on graphs

Jeremy Budd, Yves van Gennip, Jonas Latz

This paper introduces a semi-discrete implicit Euler (SDIE) scheme for the Allen-Cahn equation (ACE) with fidelity forcing on graphs. Bertozzi and Flenner (2012) pioneered the use…

math.NA2019

Multilevel Sequential Importance Sampling for Rare Event Estimation

Fabian Wagner, Jonas Latz, Iason Papaioannou +1

The estimation of the probability of rare events is an important task in reliability and risk assessment. We consider failure events that are expressed in terms of a limit state fu…

stat.CO2019

Multilevel adaptive sparse Leja approximations for Bayesian inverse problems

Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann +2

Deterministic interpolation and quadrature methods are often unsuitable to address Bayesian inverse problems depending on computationally expensive forward mathematical models. Whi…

math.ST2019

On the well-posedness of Bayesian inverse problems

Jonas Latz

The subject of this article is the introduction of a new concept of well-posedness of Bayesian inverse problems. The conventional concept of (Lipschitz, Hellinger) well-posedness i…

math.NA2018

Fast sampling of parameterised Gaussian random fields

Jonas Latz, Marvin Eisenberger, Elisabeth Ullmann

Gaussian random fields are popular models for spatially varying uncertainties, arising for instance in geotechnical engineering, hydrology or image processing. A Gaussian random fi…