Martin Zach

23 papers B 2Journal 12Unranked 9
YearRankTypeTitle / 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
Learning Regularization Functionals for Inverse Problems: A Comparative Study.
CoRR
Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer
2025 — conf
Product of Gaussian Mixture Diffusion Model for Non-linear MRI Inversion.
SSVM (1)
Laurenz Nagler, Martin Zach, Thomas Pock
2025 J jnl
Product of Gaussian Mixture Diffusion Model for non-linear MRI Inversion.
CoRR
Laurenz Nagler, Martin Zach, Thomas Pock
2025 J jnl
Smart Water-IoT: Harnessing IoT and AI for Efficient Water Management.
ACM Comput. Surv.
Vlastimil Slany, Eva Krcálová, Jiri Balej, Martin Zach, Tereza Kucova, Michal Prauzek, Radek Martinek
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 — conf
Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction.
GCPR (1)
Lukas Glaszner, Martin Zach
2024 — conf
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring.
ECCV (77)
Emanuele Santellani, Martin Zach, Christian Sormann, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer
2024 J jnl
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring.
CoRR
Emanuele Santellani, Martin Zach, Christian Sormann, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer
2024 J jnl
Product of Gaussian Mixture Diffusion Models.
J. Math. Imaging Vis.
Martin Zach, Erich Kobler, Antonin Chambolle, Thomas Pock
2023 — conf
Explicit Diffusion of Gaussian Mixture Model Based Image Priors.
SSVM
Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
2023 J jnl
Explicit Diffusion of Gaussian Mixture Model Based Image Priors.
CoRR
Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
2023 J jnl
Stable Deep MRI Reconstruction Using Generative Priors.
IEEE Trans. Medical Imaging
Martin Zach, Florian Knoll, Thomas Pock
2022 J jnl
Computed Tomography Reconstruction using Generative Energy-Based Priors.
CoRR
Martin Zach, Erich Kobler, Thomas Pock
2022 J jnl
Stable deep MRI reconstruction using Generative Priors.
CoRR
Martin Zach, Florian Knoll, Thomas Pock
2011 — conf
Magneto approach to QoS monitoring.
Integrated Network Management
Sidath Handurukande, Szymon Fedor, Stefan Wallin, Martin Zach
2010 — conf
Design of a HAN Autonomic Control Loop.
MACE
Jesse Kielthy, Kevin Quinn, Raquel Toribio, Pablo Arozarena, Sidath Handurukande, Marc Garcia Mateos, Martin Zach
2010 — conf
Probabilistic Fault Diagnosis in the MAGNETO Autonomic Control Loop.
AIMS
Pablo Arozarena, Raquel Toribio, Jesse Kielthy, Kevin Quinn, Martin Zach
2007 — conf
Fault Management based on peer-to-peer paradigms; A case study report from the CELTIC project Madeira.
Integrated Network Management
Markus Leitner, Philipp Leitner, Martin Zach, Sandra Collins, Claire Fahy
2007 — conf
Self-forming Network Management Topologies in the Madeira Management System.
AIMS
Liam Fallon, Daryl Parker, Martin Zach, Markus Leitner, Sandra Collins
2006 B conf
A Distributed Policy Based Solution in a Fault Management Scenario.
GLOBECOM
Ricardo Marin, Julio Vivero, Hai Nguyen, Joan Serrat, Philipp Leitner, Martin Zach, Claire Fahy
2006 B conf
Towards a framework for network management applications based on peer-to-peer paradigms The CELTIC project Madeira.
NOMS
Martin Zach, Claire Fahy, Ray Carroll, Elyes Lehtihet, Daryl Parker, Nektarios Georgalas, Johan Nielsen, Ricardo Marin, Joan Serrat