Andreas Habring

16 papers Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes. SIAM J. Imaging Sci. Andreas Habring, Alexander Falk, Martin Zach, Thomas Pock
2026	J	`jnl`	Forward-KL Convergence of Time-Inhomogeneous Langevin Diffusions. CoRR Andreas Habring, Martin Zach
2025	J	`jnl`	An Inertial Langevin Algorithm. CoRR Alexander Falk, Andreas Habring, Christoph Griesbacher, Thomas Pock
2025	—	`conf`	Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes. SSP Andreas Habring, Alexander Falk, Thomas Pock
2025	J	`jnl`	Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes. CoRR Andreas Habring, Alexander Falk, Thomas Pock
2025	J	`jnl`	The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems. CoRR Muhamed Kuric, Martin Zach, Andreas Habring, Michael Unser, Thomas Pock
2024	J	`jnl`	Ergodicity of Langevin Dynamics and its Discretizations for Non-smooth Potentials. CoRR Lorenz Fruehwirth, Andreas Habring
2024	J	`jnl`	Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. SIAM J. Imaging Sci. Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
2024	J	`jnl`	Subgradient Langevin Methods for Sampling from Nonsmooth Potentials. SIAM J. Math. Data Sci. Andreas Habring, Martin Holler, Thomas Pock
2024	J	`jnl`	Unsupervised Energy Disaggregation Via Convolutional Sparse Coding. IEEE Trans. Consumer Electron. Christian Aarset, Andreas Habring, Martin Holler, Mario Mitter
2023	J	`jnl`	A Note on the Regularity of Images Generated by Convolutional Neural Networks. SIAM J. Math. Data Sci. Andreas Habring, Martin Holler
2023	—	`conf`	Probabilistic Modeling of Chronological Dates to Serve Machines and Scholars. DH Andreas Habring, Anguelos Nicolaou, Daniel Luger, Florian Atzenhofer-Baumgartner, Florian Lamminger, Franziska Decker, Sandy Aoun, Tamás Kovács, Georg Vogeler, Martin Holler
2022	J	`jnl`	A Generative Variational Model for Inverse Problems in Imaging. SIAM J. Math. Data Sci. Andreas Habring, Martin Holler
2022	J	`jnl`	A Note on the Regularity of Images Generated by Convolutional Neural Networks. CoRR Andreas Habring, Martin Holler
2022	J	`jnl`	Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. CoRR Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
2022	J	`jnl`	Unsupervised energy disaggregation via convolutional sparse coding. CoRR Christian Aarset, Andreas Habring, Martin Holler, Mario Mitter