Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances. - Jannis Chemseddine; Paul Hagemann; Christian Wald (CoRR, 2023)

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 (ICLR, 2024)

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching. - Jannis Chemseddine; Paul Hagemann; Christian Wald; Gabriele Steidl (CoRR, 2024)

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

Trajectory Generator Matching for Time Series. - T. Jahn; Jannis Chemseddine; Paul Hagemann; Christian Wald; Gabriele Steidl (CoRR, 2025)