Andreas Habring

According to our database, Andreas Habring authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Generating Physically Consistent Molecules with Energy-Based Models.

Christoph Griesbacher, Lea Bogensperger, Andreas Habring, Thomas Pock

CoRR, May, 2026

Time-Inhomogeneous Preconditioned Langevin Dynamics.

Alexander Falk, Laurenz Nagler, Andreas Habring, Thomas Pock

CoRR, May, 2026

Forward-KL Convergence of Time-Inhomogeneous Langevin Diffusions.

Andreas Habring, Martin Zach

CoRR, January, 2026

Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes.

Andreas Habring, Alexander Falk, Martin Zach, Thomas Pock

SIAM J. Imaging Sci., 2026

2025

An Inertial Langevin Algorithm.

Alexander Falk, Andreas Habring, Christoph Griesbacher, Thomas Pock

CoRR, October, 2025

The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems.

Muhamed Kuric, Martin Zach, Andreas Habring, Michael Unser, Thomas Pock

CoRR, May, 2025

Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes.

Andreas Habring, Alexander Falk, Thomas Pock

Proceedings of the IEEE Statistical Signal Processing Workshop, 2025

2024

Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging.

Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock

SIAM J. Imaging Sci., March, 2024

Unsupervised Energy Disaggregation Via Convolutional Sparse Coding.

Christian Aarset, Andreas Habring, Martin Holler, Mario Mitter

IEEE Trans. Consumer Electron., February, 2024

Subgradient Langevin Methods for Sampling from Nonsmooth Potentials.

Andreas Habring, Martin Holler, Thomas Pock

SIAM J. Math. Data Sci., 2024

Ergodicity of Langevin Dynamics and its Discretizations for Non-smooth Potentials.

Lorenz Fruehwirth, Andreas Habring

CoRR, 2024

2023

A Note on the Regularity of Images Generated by Convolutional Neural Networks.

Andreas Habring, Martin Holler

SIAM J. Math. Data Sci., September, 2023

Probabilistic Modeling of Chronological Dates to Serve Machines and Scholars.

Andreas Habring, Anguelos Nicolaou, Daniel Luger, Florian Atzenhofer-Baumgartner, Florian Lamminger, Franziska Decker, Sandy Aoun, Tamás Kovács, Georg Vogeler, Martin Holler

Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

2022

A Generative Variational Model for Inverse Problems in Imaging.

Andreas Habring, Martin Holler

SIAM J. Math. Data Sci., 2022