A Distributed Policy Based Solution in a Fault Management Scenario. - Ricardo Marin; Julio Vivero; Hai Nguyen; Joan Serrat 001; Philipp Leitner 001; Martin Zach; Claire Fahy (GLOBECOM, 2006)

Towards a framework for network management applications based on peer-to-peer paradigms The CELTIC project Madeira. - Martin Zach; Claire Fahy; Ray Carroll; Elyes Lehtihet; Daryl Parker; Nektarios Georgalas; Johan Nielsen; Ricardo Marin; Joan Serrat 001 (NOMS, 2006)

Self-forming Network Management Topologies in the Madeira Management System. - Liam Fallon; Daryl Parker; Martin Zach; Markus Leitner; Sandra Collins (AIMS, 2007)

Fault Management based on peer-to-peer paradigms; A case study report from the CELTIC project Madeira. - Markus Leitner; Philipp Leitner 001; Martin Zach; Sandra Collins; Claire Fahy (Integrated Network Management, 2007)

Probabilistic Fault Diagnosis in the MAGNETO Autonomic Control Loop. - Pablo Arozarena; Raquel Toribio; Jesse Kielthy; Kevin Quinn 001; Martin Zach (AIMS, 2010)

Design of a HAN Autonomic Control Loop. - Jesse Kielthy; Kevin Quinn 001; Raquel Toribio; Pablo Arozarena; Sidath Handurukande; Marc Garcia Mateos; Martin Zach (MACE, 2010)

Magneto approach to QoS monitoring. - Sidath Handurukande; Szymon Fedor; Stefan Wallin; Martin Zach (Integrated Network Management, 2011)

Computed Tomography Reconstruction using Generative Energy-Based Priors. - Martin Zach; Erich Kobler; Thomas Pock (CoRR, 2022)

Explicit Diffusion of Gaussian Mixture Model Based Image Priors. - Martin Zach; Thomas Pock; Erich Kobler; Antonin Chambolle (SSVM, 2023)

Stable Deep MRI Reconstruction Using Generative Priors. - Martin Zach; Florian Knoll; Thomas Pock (IEEE Trans. Medical Imaging, 2023)

Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction. - Lukas Glaszner; Martin Zach (GCPR (1), 2024)

GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring. - Emanuele Santellani; Martin Zach; Christian Sormann; Mattia Rossi; Andreas Kuhn 002; Friedrich Fraundorfer (ECCV (77), 2024)

GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring. - Emanuele Santellani; Martin Zach; Christian Sormann; Mattia Rossi; Andreas Kuhn 005; Friedrich Fraundorfer (CoRR, 2024)

Product of Gaussian Mixture Diffusion Models. - Martin Zach; Erich Kobler; Antonin Chambolle; Thomas Pock (J. Math. Imaging Vis., 2024)

Product of Gaussian Mixture Diffusion Model for Non-linear MRI Inversion. - Laurenz Nagler; Martin Zach; Thomas Pock (SSVM (1), 2025)

The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems. - Muhamed Kuric; Martin Zach; Andreas Habring; Michael Unser; Thomas Pock (CoRR, 2025)