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2020 – today
- 2024
[j16]Dominik Narnhofer
, Andreas Habring, Martin Holler, Thomas Pock:
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. SIAM J. Imaging Sci. 17(1): 301-333 (2024)- [j15]Martin Holler, Benedikt Wirth:
Exact Reconstruction and Reconstruction from Noisy Data with Anisotropic Total Variation. SIAM J. Math. Anal. 56(3): 2938-2967 (2024) - [j14]Andreas Habring, Martin Holler, Thomas Pock:
Subgradient Langevin Methods for Sampling from Nonsmooth Potentials. SIAM J. Math. Data Sci. 6(4): 897-925 (2024) - [j13]Christian Aarset, Andreas Habring, Martin Holler, Mario Mitter:
Unsupervised Energy Disaggregation Via Convolutional Sparse Coding. IEEE Trans. Consumer Electron. 70(1): 4303-4310 (2024) - [i9]Erion Morina, Martin Holler:
On the growth of the parameters of approximating ReLU neural networks. CoRR abs/2406.14936 (2024) - 2023
- [j12]Andreas Habring, Martin Holler:
A Note on the Regularity of Images Generated by Convolutional Neural Networks. SIAM J. Math. Data Sci. 5(3): 670-692 (2023) - [j11]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): 2310-2317 (2023) - [c7]Wolfgang J. Kern, Simon Orlob, Gabriel Putzer, Judith Martini, Martin Holler:
A Parameter Identification Approach towards Analyzing Hemodynamics Based on Capnography. CinC 2023: 1-4 - [c6]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 - [c5]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: 326-338 - 2022
- [j10]Andreas Habring, Martin Holler:
A Generative Variational Model for Inverse Problems in Imaging. SIAM J. Math. Data Sci. 4(1): 306-335 (2022) - [i8]Andreas Habring, Martin Holler:
A Note on the Regularity of Images Generated by Convolutional Neural Networks. CoRR abs/2204.10588 (2022) - [i7]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 abs/2205.06540 (2022) - [i6]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 abs/2205.10367 (2022) - [i5]Christian Aarset, Andreas Habring, Martin Holler, Mario Mitter:
Unsupervised energy disaggregation via convolutional sparse coding. CoRR abs/2207.09785 (2022) - [i4]Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock:
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. CoRR abs/2212.12499 (2022) - 2021
- [i3]Martin Holler, Alexander Schlüter, Benedikt Wirth:
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space. CoRR abs/2112.09743 (2021) - 2020
- [j9]Antonin Chambolle, Martin Holler, Thomas Pock:
A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data. J. Math. Imaging Vis. 62(3): 417-444 (2020)
2010 – 2019
- 2019
- [i2]Martin Holler, Andreas Weinmann:
Non-smooth variational regularization for processing manifold-valued data. CoRR abs/1909.08921 (2019) - [i1]Kristian Bredies, Martin Holler:
Higher-order total variation approaches and generalisations. CoRR abs/1912.01587 (2019) - 2018
- [j8]Kristian Bredies, Martin Holler, Martin Storath, Andreas Weinmann:
Total Generalized Variation for Manifold-Valued Data. SIAM J. Imaging Sci. 11(3): 1785-1848 (2018) - [j7]Martin Holler, Kamil S. Kazimierski:
Variational Decompression of Image Data From DjVu Encoded Files. IEEE Trans. Image Process. 27(1): 490-499 (2018) - [j6]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): 590-603 (2018) - 2017
- [j5]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): 1-16 (2017) - 2015
- [j4]Kristian Bredies, Martin Holler:
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics. SIAM J. Imaging Sci. 8(4): 2814-2850 (2015) - [j3]Kristian Bredies, Martin Holler:
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics. SIAM J. Imaging Sci. 8(4): 2851-2886 (2015) - [c4]Kristian Bredies, Martin Holler:
Artifact-Free Variational MPEG Decompression. SSVM 2015: 216-228 - 2014
- [j2]Martin Holler, Karl Kunisch:
On Infimal Convolution of TV-Type Functionals and Applications to Video and Image Reconstruction. SIAM J. Imaging Sci. 7(4): 2258-2300 (2014) - 2013
- [c3]Kristian Bredies, Martin Holler:
A TGV Regularized Wavelet Based Zooming Model. SSVM 2013: 149-160 - 2012
- [j1]Kristian Bredies, Martin Holler:
A Total Variation-Based JPEG Decompression Model. SIAM J. Imaging Sci. 5(1): 366-393 (2012) - [c2]Kristian Bredies, Martin Holler:
Artifact-free JPEG Decompression with Total Generalized Variation. VISAPP (1) 2012: 12-21 - [c1]Kristian Bredies, Martin Holler:
Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation. VISIGRAPP (Selected Papers) 2012: 242-258
Coauthor Index
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last updated on 2024-10-25 21:13 CEST by the dblp team
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