Robert Gruhlke

12 papers A* 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reverse Diffusion Sampling with Tensor Train Approximations of Hamilton-Jacobi-Bellman Equations. SIAM J. Sci. Comput. Robert Gruhlke, David Sommer, Max Kirstein, Martin Eigel, Claudia Schillings
2025	J	`jnl`	Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems. CoRR Robert Gruhlke, Matei Hanu, Claudia Schillings, Philipp Wacker
2025	A*	`conf`	Importance Corrected Neural JKO Sampling. ICML Johannes Hertrich, Robert Gruhlke
2025	J	`jnl`	Provable Mixed-Noise Learning with Flow-Matching. CoRR Paul Hagemann, Robert Gruhlke, Bernhard Stankewitz, Claudia Schillings, Gabriele Steidl
2024	J	`jnl`	Generative Modelling with Tensor Train approximations of Hamilton-Jacobi-Bellman equations. CoRR David Sommer, Robert Gruhlke, Max Kirstein, Martin Eigel, Claudia Schillings
2024	J	`jnl`	Importance Corrected Neural JKO Sampling. CoRR Johannes Hertrich, Robert Gruhlke
2024	J	`jnl`	Less Interaction with Forward Models in Langevin Dynamics: Enrichment and Homotopy. SIAM J. Appl. Dyn. Syst. Martin Eigel, Robert Gruhlke, David Sommer
2022	J	`jnl`	Less interaction with forward models in Langevin dynamics. CoRR Martin Eigel, Robert Gruhlke, David Sommer
2022	J	`jnl`	Low-rank Wasserstein polynomial chaos expansions in the framework of optimal transport. CoRR Robert Gruhlke, Martin Eigel
2022	J	`jnl`	Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion. Stat. Comput. Martin Eigel, Robert Gruhlke, Manuel Marschall
2020	J	`jnl`	Comparison of various uncertainty models with experimental investigations regarding the failure of plates with holes. Reliab. Eng. Syst. Saf. Martin Drieschner, Yuri Petryna, Robert Gruhlke, Martin Eigel, Dietmar Hömberg
2020	J	`jnl`	Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion. CoRR Martin Eigel, Robert Gruhlke, Manuel Marschall