Jonas Latz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Inverse Problems

Emission Tomography

Top Venues

SIAM/ASA J. Uncertain. Quantification

SIAM J. Sci. Comput.

Publications

Jonas Latz
Correction to: analysis of stochastic gradient descent in continuous time. Stat. Comput. 34 (4) (2024)
Alix Leroy, Benedict J. Leimkühler, Jonas Latz, Desmond J. Higham
Adaptive stepsize algorithms for Langevin dynamics. CoRR (2024)
Liam Llamazares-Elias, Samir Llamazares-Elías, Jonas Latz, Stefan Klus
Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds. CoRR (2024)
Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu
How to beat a Bayesian adversary. CoRR (2024)
Kexin Jin, Chenguang Liu, Jonas Latz
Subsampling Error in Stochastic Gradient Langevin Diffusions. AISTATS (2024)
Jonas Weidner, Ivan Ezhov, Michal Balcerak, Marie-Christin Metz, Sergey Litvinov, Sebastian Kaltenbach, Leonhard F. Feiner, Laurin Lux, Florian Kofler, Jana Lipková, Jonas Latz, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
A Learnable Prior Improves Inverse Tumor Growth Modeling. CoRR (2024)
Kexin Jin, Chenguang Liu, Jonas Latz
Subsampling Error in Stochastic Gradient Langevin Diffusions. CoRR (2023)
Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb
Joint Reconstruction-Segmentation on Graphs. SIAM J. Imaging Sci. 16 (2) (2023)
Matei Hanu, Jonas Latz, Claudia Schillings
Subsampling in ensemble Kalman inversion. CoRR (2023)
Jonas Latz
Bayesian Inverse Problems Are Usually Well-Posed. SIAM Rev. 65 (3) (2023)
Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz, Carola-Bibiane Schönlieb
Can Physics-Informed Neural Networks beat the Finite Element Method? CoRR (2023)
Jonas Latz
Gradient flows and randomised thresholding: sparse inversion and classification. CoRR (2022)
Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb
Joint reconstruction-segmentation on graphs. CoRR (2022)
Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti
Losing momentum in continuous-time stochastic optimisation. CoRR (2022)
Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb
A Continuous-time Stochastic Gradient Descent Method for Continuous Data. CoRR (2021)
Jonas Latz
Analysis of stochastic gradient descent in continuous time. Stat. Comput. 31 (4) (2021)
Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann
Error Analysis for Probabilities of Rare Events with Approximate Models. SIAM J. Numer. Anal. 59 (4) (2021)
Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone
Generalized parallel tempering on Bayesian inverse problems. Stat. Comput. 31 (5) (2021)
Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann
Multilevel Sequential Importance Sampling for Rare Event Estimation. SIAM J. Sci. Comput. 42 (4) (2020)
Daniel Kressner, Jonas Latz, Stefano Massei, Elisabeth Ullmann
Certified and fast computations with shallow covariance kernels. CoRR (2020)
Jonas Latz
Analysis of Stochastic Gradient Descent in Continuous Time. CoRR (2020)
Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann
Error analysis for probabilities of rare events with approximate models. CoRR (2020)
Jeremy Budd, Yves van Gennip, Jonas Latz
Classification and image processing with a semi-discrete scheme for fidelity forced Allen-Cahn on graphs. CoRR (2020)
Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone
Generalized Parallel Tempering on Bayesian Inverse Problems. CoRR (2020)
Jonas Latz
On the Well-posedness of Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 8 (1) (2020)
Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz
Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems. SIAM J. Sci. Comput. 42 (1) (2020)
Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz
Multilevel adaptive sparse Leja approximations for Bayesian inverse problems. CoRR (2019)
Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann
Multilevel Sequential Importance Sampling for Rare Event Estimation. CoRR (2019)
Christian Kahle, Kei Fong Lam, Jonas Latz, Elisabeth Ullmann
Bayesian Parameter Identification in Cahn-Hilliard Models for Biological Growth. SIAM/ASA J. Uncertain. Quantification 7 (2) (2019)
Jonas Latz, Iason Papaioannou, Elisabeth Ullmann
Monte Carlo for Bayesian inverse problems. J. Comput. Phys. 368 (2018)
Jonas Latz, Marvin Eisenberger, Elisabeth Ullmann
Fast sampling of parameterised Gaussian random fields. CoRR (2018)