1 citations · 3 across the 18 of their papers we have counts for
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On the Time Derivative of the KL Divergence for a Generalized Langevin Annealing Scheme
Andreas Habring
Consider the Langevin diffusion process guided by the time-dependent probability density . Let be the…
Computation of a Consistent System Matrix for Cone-beam Computed Tomography
Josef Simbrunner, Clemens Krenn, Martin Zach +1
We propose a method for the computation of a consistent system matrix for two- and three-dimensional cone-beam computed tomography (CT). The method relies on the decomposition of t…
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…
Energy-based models for inverse imaging problems
Andreas Habring, Martin Holler, Thomas Pock +1
In this chapter we provide a thorough overview of the use of energy-based models (EBMs) in the context of inverse imaging problems. EBMs are probability distributions modeled via G…
The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems
Muhamed Kuric, Martin Zach, Andreas Habring +2
We consider the problem of sampling from a product-of-experts-type model that encompasses many standard prior and posterior distributions commonly found in Bayesian imaging. We sho…
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…
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…