activity
20242026
most citedFlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

math.PR2026

Annealed Underdamped Langevin Dynamics

Laurenz Nagler, Alexander Falk, Andreas Habring

In sampling, different flavours of annealing, tempering, or other successive approximation approaches are widely used and studied. In this work we investigate annealed underdamped…

math.ST2026

Time-Inhomogeneous Preconditioned Langevin Dynamics

Alexander Falk, Laurenz Nagler, Andreas Habring +1

Langevin sampling from distributions of the form faces two major challenges: (global) mode coverage and (local) mode exploration. The first challenge is…

math.NA2025

Accelerated Sampling with the Inertial Langevin Algorithm

Alexander Falk, Andreas Habring, Christoph Griesbacher +1

We consider the \emph{inertial Langevin algorithm} (ILA), a simple momentum-based method for sampling from Gibbs distributions of the form . ILA augments…

math.OC2025

Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper]

Andreas Habring, Alexander Falk, Thomas Pock

In this article we propose a novel method for sampling from Gibbs distributions of the form with a potential . In particular, inspired by diffusion m…

math.OC2025

Diffusion at Absolute Zero: Langevin Sampling using Successive Moreau Envelopes [journal paper]

Andreas Habring, Alexander Falk, Martin Zach +1

We propose a method for sampling from Gibbs distributions of the form by considering a family of approximations of the target density which is…

cs.CV2024★ 2 cited

FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms

Lea Bogensperger, Dominik Narnhofer, Alexander Falk +2

Medical image segmentation plays an important role in accurately identifying and isolating regions of interest within medical images. Generative approaches are particularly effecti…