Jonas Latz

Available identifiers

List of research outcomes

Publication	Date of Publication	Type
Classification and image processing with a semi‐discrete scheme for fidelity forced Allen–Cahn on graphs	2023-12-15	Paper
Nested Sampling for Uncertainty Quantification and Rare Event Estimation	2023-10-02	Paper
Subsampling in ensemble Kalman inversion	2023-08-14	Paper
Bayesian Inverse Problems Are Usually Well-Posed	2023-08-10	Paper
Joint Reconstruction-Segmentation on Graphs	2023-08-08	Paper
Can Physics-Informed Neural Networks beat the Finite Element Method?	2023-02-08	Paper
Gradient flows and randomised thresholding: sparse inversion and classification*	2022-12-02	Paper
Gaussian random fields on non-separable Banach spaces	2022-03-09	Paper
Generalized parallel tempering on Bayesian inverse problems	2021-12-10	Paper
Analysis of stochastic gradient descent in continuous time	2021-12-09	Paper
A Continuous-time Stochastic Gradient Descent Method for Continuous Data	2021-12-07	Paper
Error Analysis for Probabilities of Rare Events with Approximate Models	2021-07-19	Paper
A Practical Example for the Non-linear Bayesian Filtering of Model Parameters	2020-12-18	Paper
Multilevel Sequential Importance Sampling for Rare Event Estimation	2020-08-05	Paper
On the Well-posedness of Bayesian Inverse Problems	2020-04-24	Paper
Fast sampling of parameterised Gaussian random fields	2020-04-16	Paper
Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems	2020-02-20	Paper
Certified and fast computations with shallow covariance kernels	2020-01-24	Paper
Bayesian Parameter Identification in Cahn--Hilliard Models for Biological Growth	2019-08-12	Paper
Multilevel sequential Monte Carlo for Bayesian inverse problems	2018-08-01	Paper
Adaptive stepsize algorithms for Langevin dynamics	0001-01-03	Paper
Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds	0001-01-03	Paper

Research outcomes over time

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