Steidl, Gabriele

10 publications

JMLR 2025 Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching Jannis Chemseddine, Paul Hagemann, Gabriele Steidl, Christian Wald

ICML 2025 Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization Florian Beier, Moritz Piening, Robert Beinert, Gabriele Steidl

ICLR 2025 Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl

ICLR 2025 PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Tiffany Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl

CVPR 2025 T-FAKE: Synthesizing Thermal Images for Facial Landmarking Philipp Flotho, Moritz Piening, Anna Kukleva, Gabriele Steidl

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

TMLR 2023 Conditional Generative Models Are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger, Paul Hagemann, Gabriele Steidl

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

ECCV 2006 From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage Martin Welk, Joachim Weickert, Gabriele Steidl

MLJ 2005 Combined SVM-Based Feature Selection and Classification Julia Neumann, Christoph Schnörr, Gabriele Steidl