Robert Gruhlke

According to our database, Robert Gruhlke authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Reverse Diffusion Sampling with Tensor Train Approximations of Hamilton-Jacobi-Bellman Equations.

Robert Gruhlke, David Sommer, Max Kirstein, Martin Eigel, Claudia Schillings

SIAM J. Sci. Comput., 2026

Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems.

Robert Gruhlke, Matei Hanu, Claudia Schillings, Philipp Wacker

SIAM/ASA J. Uncertain. Quantification, 2026

2025

Provable Mixed-Noise Learning with Flow-Matching.

Paul Hagemann, Robert Gruhlke, Bernhard Stankewitz, Claudia Schillings, Gabriele Steidl

CoRR, August, 2025

Importance Corrected Neural JKO Sampling.

Johannes Hertrich, Robert Gruhlke

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Less Interaction with Forward Models in Langevin Dynamics: Enrichment and Homotopy.

Martin Eigel, Robert Gruhlke, David Sommer

SIAM J. Appl. Dyn. Syst., 2024

Generative Modelling with Tensor Train approximations of Hamilton-Jacobi-Bellman equations.

David Sommer, Robert Gruhlke, Max Kirstein, Martin Eigel, Claudia Schillings

CoRR, 2024

2022

Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion.

Martin Eigel, Robert Gruhlke, Manuel Marschall

Stat. Comput., 2022

Less interaction with forward models in Langevin dynamics.

Martin Eigel, Robert Gruhlke, David Sommer

CoRR, 2022

Low-rank Wasserstein polynomial chaos expansions in the framework of optimal transport.

Robert Gruhlke, Martin Eigel

CoRR, 2022

2020

Comparison of various uncertainty models with experimental investigations regarding the failure of plates with holes.

Martin Drieschner, Yuri Petryna, Robert Gruhlke, Martin Eigel, Dietmar Hömberg

Reliab. Eng. Syst. Saf., 2020