Jonas Latz - RankMe

42 papers A 1Journal 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-driven discovery of chemical reaction networks. CoRR Abraham Reyes-Velazquez, Stefan Güttel, Igor Larrosa, Jonas Latz
2025	J	`jnl`	A Learnable Prior Improves Inverse Tumor Growth Modeling. IEEE Trans. Medical Imaging 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
2025	J	`jnl`	Lengthscale-informed sparse grids for kernel methods in high dimensions. CoRR Elliot J. Addy, Jonas Latz, Aretha L. Teckentrup
2025	J	`jnl`	Losing Momentum in Continuous-time Stochastic Optimisation. J. Mach. Learn. Res. Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti
2025	J	`jnl`	STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes. CoRR Simon Urbainczyk, Aretha L. Teckentrup, Jonas Latz
2024	J	`jnl`	A Learnable Prior Improves Inverse Tumor Growth Modeling. CoRR 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
2024	J	`jnl`	Adaptive Stepsize Algorithms for Langevin Dynamics. SIAM J. Sci. Comput. Alix Leroy, Benedict J. Leimkuhler, Jonas Latz, Desmond J. Higham
2024	J	`jnl`	Adaptive stepsize algorithms for Langevin dynamics. CoRR Alix Leroy, Benedict J. Leimkuhler, Jonas Latz, Desmond J. Higham
2024	J	`jnl`	Correction to: analysis of stochastic gradient descent in continuous time. Stat. Comput. Jonas Latz
2024	J	`jnl`	Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds. CoRR Liam Llamazares-Elias, Samir Llamazares-Elías, Jonas Latz, Stefan Klus
2024	J	`jnl`	Deep Gaussian Process Priors for Bayesian Image Reconstruction. CoRR Jonas Latz, Aretha L. Teckentrup, Simon Urbainczyk
2024	J	`jnl`	How to beat a Bayesian adversary. CoRR Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu
2024	J	`jnl`	Nested Sampling for Uncertainty Quantification and Rare Event Estimation. SIAM J. Sci. Comput. Jonas Latz, Doris Schneider, Philipp Wacker
2024	A	`conf`	Subsampling Error in Stochastic Gradient Langevin Diffusions. AISTATS Kexin Jin, Chenguang Liu, Jonas Latz
2024	J	`jnl`	The random timestep Euler method and its continuous dynamics. CoRR Jonas Latz
2023	J	`jnl`	A Continuous-time Stochastic Gradient Descent Method for Continuous Data. J. Mach. Learn. Res. Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb
2023	J	`jnl`	Bayesian Inverse Problems Are Usually Well-Posed. SIAM Rev. Jonas Latz
2023	J	`jnl`	Can Physics-Informed Neural Networks beat the Finite Element Method? CoRR Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz, Carola-Bibiane Schönlieb
2023	J	`jnl`	Joint Reconstruction-Segmentation on Graphs. SIAM J. Imaging Sci. Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb
2023	J	`jnl`	Subsampling Error in Stochastic Gradient Langevin Diffusions. CoRR Kexin Jin, Chenguang Liu, Jonas Latz
2023	J	`jnl`	Subsampling in ensemble Kalman inversion. CoRR Matei Hanu, Jonas Latz, Claudia Schillings
2022	J	`jnl`	Gradient flows and randomised thresholding: sparse inversion and classification. CoRR Jonas Latz
2022	J	`jnl`	Joint reconstruction-segmentation on graphs. CoRR Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb
2022	J	`jnl`	Losing momentum in continuous-time stochastic optimisation. CoRR Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti
2021	J	`jnl`	A Continuous-time Stochastic Gradient Descent Method for Continuous Data. CoRR Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb
2021	J	`jnl`	Analysis of stochastic gradient descent in continuous time. Stat. Comput. Jonas Latz
2021	J	`jnl`	Error Analysis for Probabilities of Rare Events with Approximate Models. SIAM J. Numer. Anal. Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann
2021	J	`jnl`	Generalized parallel tempering on Bayesian inverse problems. Stat. Comput. Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone
2020	J	`jnl`	Analysis of Stochastic Gradient Descent in Continuous Time. CoRR Jonas Latz
2020	J	`jnl`	Certified and fast computations with shallow covariance kernels. CoRR Daniel Kressner, Jonas Latz, Stefano Massei, Elisabeth Ullmann
2020	J	`jnl`	Classification and image processing with a semi-discrete scheme for fidelity forced Allen-Cahn on graphs. CoRR Jeremy Budd, Yves van Gennip, Jonas Latz
2020	J	`jnl`	Error analysis for probabilities of rare events with approximate models. CoRR Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann
2020	J	`jnl`	Generalized Parallel Tempering on Bayesian Inverse Problems. CoRR Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone
2020	J	`jnl`	Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems. SIAM J. Sci. Comput. Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz
2020	J	`jnl`	Multilevel Sequential Importance Sampling for Rare Event Estimation. SIAM J. Sci. Comput. Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann
2020	J	`jnl`	On the Well-posedness of Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Jonas Latz
2019	J	`jnl`	Bayesian Parameter Identification in Cahn-Hilliard Models for Biological Growth. SIAM/ASA J. Uncertain. Quantification Christian Kahle, Kei Fong Lam, Jonas Latz, Elisabeth Ullmann
2019	—	`—`	Exploring and exploiting hierarchies in Bayesian inverse problems (Hierarchische Methoden und Modelle in der Bayes'schen Inversion) Jonas Latz
2019	J	`jnl`	Multilevel Sequential Importance Sampling for Rare Event Estimation. CoRR Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann
2019	J	`jnl`	Multilevel adaptive sparse Leja approximations for Bayesian inverse problems. CoRR Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz
2018	J	`jnl`	Fast sampling of parameterised Gaussian random fields. CoRR Jonas Latz, Marvin Eisenberger, Elisabeth Ullmann
2018	J	`jnl`	Multilevel Sequential J. Comput. Phys. Jonas Latz, Iason Papaioannou, Elisabeth Ullmann