Martin Holler - RankMe

41 papers Journal 33Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Symbolic recovery of PDEs from measurement data. CoRR Erion Morina, Philipp Scholl, Martin Holler
2025	J	`jnl`	A sparse optimization approach to infinite infimal convolution regularization. Numerische Mathematik Kristian Bredies, Marcello Carioni, Martin Holler, Yury Korolev, Carola-Bibiane Schönlieb
2025	J	`jnl`	CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition. CoRR Bruno Viti, Elias Karabelas, Martin Holler
2025	J	`jnl`	On Parameter Identification in Three-Dimensional Elasticity and Discretisation with Physics-Informed Neural Networks. CoRR Federica Caforio, Martin Holler, Matthias Höfler
2025	J	`jnl`	Physically consistent model learning for reaction-diffusion systems. CoRR Erion Morina, Martin Holler
2025	J	`jnl`	𝒞 CoRR Erion Morina, Martin Holler
2024	J	`jnl`	Exact Reconstruction and Reconstruction from Noisy Data with Anisotropic Total Variation. SIAM J. Math. Anal. Martin Holler, Benedikt Wirth
2024	—	`conf`	Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI. CMRxRecon/MBAS/STACOM@MICCAI Bruno Viti, Franz Thaler, Kathrin Lisa Kapper, Martin Urschler, Martin Holler, Elias Karabelas
2024	J	`jnl`	Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI. CoRR Bruno Viti, Franz Thaler, Kathrin Lisa Kapper, Martin Urschler, Martin Holler, Elias Karabelas
2024	J	`jnl`	On the growth of the parameters of approximating ReLU neural networks. CoRR Erion Morina, Martin Holler
2024	J	`jnl`	On uniqueness in structured model learning. CoRR Martin Holler, Erion Morina
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`	A Parameter Identification Approach towards Analyzing Hemodynamics Based on Capnography. CinC Wolfgang J. Kern, Simon Orlob, Gabriel Putzer, Judith Martini, Martin Holler
2023	J	`jnl`	Accelerometry-Based Classification of Circulatory States During Out-of-Hospital Cardiac Arrest. IEEE Trans. Biomed. Eng. Wolfgang J. Kern, Simon Orlob, Andreas Bohn, Wolfgang Toller, Jan Wnent, Jan-Thorsten Gräsner, Martin Holler
2023	—	`conf`	Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data. SSVM Abdullah Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman
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`	Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest. CoRR Wolfgang J. Kern, Simon Orlob, Andreas Bohn, Wolfgang Toller, Jan Wnent, Jan-Thorsten Gräsner, Martin Holler
2022	J	`jnl`	Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI. CoRR Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman
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
2021	J	`jnl`	Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space. CoRR Martin Holler, Alexander Schlüter, Benedikt Wirth
2020	J	`jnl`	A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data. J. Math. Imaging Vis. Antonin Chambolle, Martin Holler, Thomas Pock
2019	J	`jnl`	Higher-order total variation approaches and generalisations. CoRR Kristian Bredies, Martin Holler
2019	J	`jnl`	Non-smooth variational regularization for processing manifold-valued data. CoRR Martin Holler, Andreas Weinmann
2018	J	`jnl`	Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction. IEEE Trans. Medical Imaging Georg Schramm, Martin Holler, Ahmadreza Rezaei, Kathleen Vunckx, Florian Knoll, Kristian Bredies, Fernando E. Boada, Johan Nuyts
2018	J	`jnl`	Total Generalized Variation for Manifold-Valued Data. SIAM J. Imaging Sci. Kristian Bredies, Martin Holler, Martin Storath, Andreas Weinmann
2018	J	`jnl`	Variational Decompression of Image Data From DjVu Encoded Files. IEEE Trans. Image Process. Martin Holler, Kamil S. Kazimierski
2017	J	`jnl`	Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer. IEEE Trans. Medical Imaging Florian Knoll, Martin Holler, Thomas Kösters, Ricardo Otazo, Kristian Bredies, Daniel K. Sodickson
2015	J	`jnl`	A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics. SIAM J. Imaging Sci. Kristian Bredies, Martin Holler
2015	J	`jnl`	A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics. SIAM J. Imaging Sci. Kristian Bredies, Martin Holler
2015	—	`conf`	Artifact-Free Variational MPEG Decompression. SSVM Kristian Bredies, Martin Holler
2014	J	`jnl`	On Infimal Convolution of TV-Type Functionals and Applications to Video and Image Reconstruction. SIAM J. Imaging Sci. Martin Holler, Karl Kunisch
2013	—	`conf`	A TGV Regularized Wavelet Based Zooming Model. SSVM Kristian Bredies, Martin Holler
2012	J	`jnl`	A Total Variation-Based JPEG Decompression Model. SIAM J. Imaging Sci. Kristian Bredies, Martin Holler
2012	—	`conf`	Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation. VISIGRAPP (Selected Papers) Kristian Bredies, Martin Holler
2012	—	`conf`	Artifact-free JPEG Decompression with Total Generalized Variation. VISAPP (1) Kristian Bredies, Martin Holler