Hertrich, Johannes

9 publications

ICLR 2025 Fast Summation of Radial Kernels via QMC Slicing Johannes Hertrich, Tim Jahn, Michael Quellmalz

TMLR 2025 Generative Feature Training of Thin 2-Layer Networks Johannes Hertrich, Sebastian Neumayer

ICML 2025 Importance Corrected Neural JKO Sampling Johannes Hertrich, Robert Gruhlke

ICLRW 2025 Iterative Importance Fine-Tuning of Diffusion Models Alexander Denker, Shreyas Padhy, Francisco Vargas, Johannes Hertrich

NeurIPS 2025 On the Relation Between Rectified Flows and Optimal Transport Johannes Hertrich, Antonin Chambolle, Julie Delon

ICLR 2024 Generative Sliced MMD Flows with Riesz Kernels Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann

JMLR 2024 Manifold Learning by Mixture Models of VAEs for Inverse Problems Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria, Silvia Sciutto

ICLR 2024 Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl

ICML 2023 Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl