Sebastian Neumayer

Michael Unser

SIAM J. Imaging Sci., March, 2024

Template-Based Image Reconstruction Facing Different Topologies.

[BibT_eX]

[DOI]

Antonia Topalovic

J. Sci. Comput., March, 2024

Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Approximation of Lipschitz Functions Using Deep Spline Neural Networks.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., June, 2023

Unbalanced Multi-marginal Optimal Transport.

[BibT_eX]

[DOI]

Florian Beier

Johannes von Lindheim

J. Math. Imaging Vis., June, 2023

Stability of Image-Reconstruction Algorithms.

[BibT_eX]

[DOI]

Pol del Aguila Pla

Michael Unser

IEEE Trans. Computational Imaging, 2023

A Neural-Network-Based Convex Regularizer for Inverse Problems.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2023

On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks.

[BibT_eX]

[DOI]

Lénaïc Chizat

Michael Unser

CoRR, 2023

2022

An Image Registration Model in Electron Backscatter Diffraction.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2022

A Neural-Network-Based Convex Regularizer for Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization.

[BibT_eX]

[DOI]

Found. Comput. Math., 2021

2020

Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds.

[BibT_eX]

[DOI]

Alexander Effland

Martin Rumpf

SIAM J. Imaging Sci., 2020

Convolutional Proximal Neural Networks and Plug-and-Play Algorithms.

[BibT_eX]

[DOI]

Johannes Hertrich

CoRR, 2020

Stabilizing Invertible Neural Networks Using Mixture Models.

[BibT_eX]

[DOI]

Paul Hagemann

CoRR, 2020

Transfer Operators from Optimal Transport Plans for Coherent Set Detection.

[BibT_eX]

[DOI]

Péter Koltai

Johannes von Lindheim

CoRR, 2020

2019

Parseval Proximal Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018

Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces.

[BibT_eX]

[DOI]

Johannes Persch

SIAM J. Imaging Sci., 2018

2017

Capturing the security effects of network segmentation via a continuous-time markov chain model.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Simulation Symposium, Virginia Beach, VA, USA, April 23, 2017

On a Projected Weiszfeld Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2016

Network reliability under geographically correlated line and disk failure models.

[BibT_eX]

[DOI]

Comput. Networks, 2016

2015

Geographic max-flow and min-cut under a circular disk failure model.

[BibT_eX]

[DOI]

Alon Efrat

Comput. Networks, 2015

2013

On the robustness of network infrastructures to disasters and physical attacks.

[BibT_eX]

[DOI]

PhD thesis, 2013

Assessing the effect of geographically correlated failures on interconnected power-communication networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

2011

Assessing the Vulnerability of the Fiber Infrastructure to Disasters.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2011

Network Reliability under Random Circular Cuts.

[BibT_eX]

[DOI]

Proceedings of the Global Communications Conference, 2011

2010

Network Reliability With Geographically Correlated Failures.

[BibT_eX]

[DOI]