Jonas Latz - researchr alias

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Viewing Publication 1 - 11 from 11

2023

Joint Reconstruction-Segmentation on GraphsJeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb. siamis, 16(2):911-947, June 2023. [doi]

Bayesian Inverse Problems Are Usually Well-PosedJonas Latz. siamrev, 65(3):831-865, August 2023. [doi]

2021

Analysis of stochastic gradient descent in continuous timeJonas Latz. sac, 31(4):39, 2021. [doi]

Generalized parallel tempering on Bayesian inverse problemsJonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone. sac, 31(5):67, 2021. [doi]

Error Analysis for Probabilities of Rare Events with Approximate ModelsFabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann. siamnum, 59(4):1948-1975, 2021. [doi]

2020

Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse ProblemsIonut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz. siamsc, 42(1), 2020. [doi]

On the Well-posedness of Bayesian Inverse ProblemsJonas Latz. juq, 8(1):451-482, 2020. [doi]

Multilevel Sequential Importance Sampling for Rare Event EstimationFabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann. siamsc, 42(4), 2020. [doi]

2019

Bayesian Parameter Identification in Cahn-Hilliard Models for Biological GrowthChristian Kahle, Kei Fong Lam, Jonas Latz, Elisabeth Ullmann. juq, 7(2):526-552, 2019. [doi]

Exploring and exploiting hierarchies in Bayesian inverse problems (Hierarchische Methoden und Modelle in der Bayes'schen Inversion)Jonas Latz. PhD thesis, Technical University of Munich, Germany, 2019. [doi]

2018

2 Monte Carlo for Bayesian inverse problemsJonas Latz, Iason Papaioannou, Elisabeth Ullmann. jcphy, 368:154-178, 2018. [doi]

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