Martin Holler

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 26

Top Topics

Emission Tomography

Probabilistic Modeling

Inverse Problems

Top Venues

SIAM J. Imaging Sci.

SIAM J. Math. Data Sci.

Publications

Christian Aarset, Andreas Habring, Martin Holler, Mario Mitter
Unsupervised Energy Disaggregation Via Convolutional Sparse Coding. IEEE Trans. Consumer Electron. 70 (1) (2024)
Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. SIAM J. Imaging Sci. 17 (1) (2024)
Martin Holler, Benedikt Wirth
Exact Reconstruction and Reconstruction from Noisy Data with Anisotropic Total Variation. SIAM J. Math. Anal. 56 (3) (2024)
Erion Morina, Martin Holler
On the growth of the parameters of approximating ReLU neural networks. CoRR (2024)
Wolfgang J. Kern, Simon Orlob, Andreas Bohn, Wolfgang Toller, Jan Wnent, Jan-Thorsten Gräsner, Martin Holler
Accelerometry-Based Classification of Circulatory States During Out-of-Hospital Cardiac Arrest. IEEE Trans. Biomed. Eng. 70 (8) (2023)
Abdullah Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman
Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data. SSVM (2023)
Wolfgang J. Kern, Simon Orlob, Gabriel Putzer, Judith Martini, Martin Holler
A Parameter Identification Approach towards Analyzing Hemodynamics Based on Capnography. CinC (2023)
Andreas Habring, Anguelos Nicolaou, Daniel Luger, Florian Atzenhofer-Baumgartner, Florian Lamminger, Franziska Decker, Sandy Aoun, Tamás Kovács, Georg Vogeler, Martin Holler
Probabilistic Modeling of Chronological Dates to Serve Machines and Scholars. DH (2023)
Andreas Habring, Martin Holler
A Note on the Regularity of Images Generated by Convolutional Neural Networks. SIAM J. Math. Data Sci. 5 (3) (2023)
Christian Aarset, Andreas Habring, Martin Holler, Mario Mitter
Unsupervised energy disaggregation via convolutional sparse coding. CoRR (2022)
Andreas Habring, Martin Holler
A Note on the Regularity of Images Generated by Convolutional Neural Networks. CoRR (2022)
Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. CoRR (2022)
Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman
Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI. CoRR (2022)
Andreas Habring, Martin Holler
A Generative Variational Model for Inverse Problems in Imaging. SIAM J. Math. Data Sci. 4 (1) (2022)
Wolfgang J. Kern, Simon Orlob, Andreas Bohn, Wolfgang Toller, Jan Wnent, Jan-Thorsten Gräsner, Martin Holler
Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest. CoRR (2022)
Martin Holler, Alexander Schlüter, Benedikt Wirth
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space. CoRR (2021)
Antonin Chambolle, Martin Holler, Thomas Pock
A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data. J. Math. Imaging Vis. 62 (3) (2020)
Martin Holler, Andreas Weinmann
Non-smooth variational regularization for processing manifold-valued data. CoRR (2019)
Kristian Bredies, Martin Holler
Higher-order total variation approaches and generalisations. CoRR (2019)
Martin Holler, Kamil S. Kazimierski
Variational Decompression of Image Data From DjVu Encoded Files. IEEE Trans. Image Process. 27 (1) (2018)
Kristian Bredies, Martin Holler, Martin Storath, Andreas Weinmann
Total Generalized Variation for Manifold-Valued Data. SIAM J. Imaging Sci. 11 (3) (2018)
Georg Schramm, Martin Holler, Ahmadreza Rezaei, Kathleen Vunckx, Florian Knoll, Kristian Bredies, Fernando E. Boada, Johan Nuyts
Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction. IEEE Trans. Medical Imaging 37 (2) (2018)
Florian Knoll, Martin Holler, Thomas Kösters, Ricardo Otazo, Kristian Bredies, Daniel K. Sodickson
Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer. IEEE Trans. Medical Imaging 36 (1) (2017)
Kristian Bredies, Martin Holler
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics. SIAM J. Imaging Sci. 8 (4) (2015)
Kristian Bredies, Martin Holler
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics. SIAM J. Imaging Sci. 8 (4) (2015)
Kristian Bredies, Martin Holler
Artifact-Free Variational MPEG Decompression. SSVM (2015)
Martin Holler, Karl Kunisch
On Infimal Convolution of TV-Type Functionals and Applications to Video and Image Reconstruction. SIAM J. Imaging Sci. 7 (4) (2014)
Kristian Bredies, Martin Holler
A TGV Regularized Wavelet Based Zooming Model. SSVM (2013)
Kristian Bredies, Martin Holler
Artifact-free JPEG Decompression with Total Generalized Variation. VISAPP (1) (2012)
Kristian Bredies, Martin Holler
Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation. VISIGRAPP (Selected Papers) (2012)
Kristian Bredies, Martin Holler
A Total Variation-Based JPEG Decompression Model. SIAM J. Imaging Sci. 5 (1) (2012)