Sebastian Neumayer

48 papers A* 4B 1Misc 1Journal 36Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Weakly Convex Ridge Regularization for 3D Non-Cartesian MRI Reconstruction.
CoRR
German Shâma Wache, Chaithya G. R., Asma Tanabene, Sebastian Neumayer
2025 A* conf
DEALing with Image Reconstruction: Deep Attentive Least Squares.
ICML
Mehrsa Pourya, Erich Kobler, Michael Unser, Sebastian Neumayer
2025 J jnl
DEALing with Image Reconstruction: Deep Attentive Least Squares.
CoRR
Mehrsa Pourya, Erich Kobler, Michael Unser, Sebastian Neumayer
2025 J jnl
DeepInverse: A Python package for solving imaging inverse problems with deep learning.
J. Open Source Softw.
Julián Tachella, Matthieu Terris, Samuel Hurault, Andrew Wang, Leo Davy, Jérémy Scanvic, Victor Sechaud, Romain Vo, Thomas Moreau, Thomas Davies, Dongdong Chen, Nils Laurent, Brayan Monroy, Jonathan Dong, Zhiyuan Hu, Minh-Hai Nguyen, Florian Sarron, Pierre Weiss, Paul Escande, Mathurin Massias, Thibaut Modrzyk, Brett Levac, Tobías I. Liaudat, Maxime Song, Johannes Hertrich, Sebastian Neumayer, Georg Schramm
2025 J jnl
Generative Feature Training of Thin 2-Layer Networks.
Trans. Mach. Learn. Res.
Johannes Hertrich, Sebastian Neumayer
2025 J jnl
Learning Regularization Functionals for Inverse Problems: A Comparative Study.
CoRR
Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer
2025 — conf
Learning of Patch-Based Smooth-Plus-Sparse Models for Image Reconstruction.
CPAL
Stanislas Ducotterd, Sebastian Neumayer, Michael Unser
2025 J jnl
Numerical Methods for Kernel Slicing.
CoRR
Nicolaj Rux, Johannes Hertrich, Sebastian Neumayer
2024 J jnl
Generative Feature Training of Thin 2-Layer Networks.
CoRR
Johannes Hertrich, Sebastian Neumayer
2024 J jnl
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions.
J. Mach. Learn. Res.
Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser
2024 J jnl
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers.
CoRR
Mehrsa Pourya, Sebastian Neumayer, Michael Unser
2024 J jnl
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms.
SIAM J. Imaging Sci.
Alexis Goujon, Sebastian Neumayer, Michael Unser
2024 Misc conf
Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium.
ICASSP
Stanislas Ducotterd, Sebastian Neumayer, Michael Unser
2024 J jnl
Learning of Patch-Based Smooth-Plus-Sparse Models for Image Reconstruction.
CoRR
Stanislas Ducotterd, Sebastian Neumayer, Michael Unser
2024 J jnl
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks.
J. Mach. Learn. Res.
Sebastian Neumayer, Lénaïc Chizat, Michael Unser
2024 J jnl
Stability of Data-Dependent Ridge-Regularization for Inverse Problems.
CoRR
Sebastian Neumayer, Fabian Altekrüger
2024 J jnl
Template-Based Image Reconstruction Facing Different Topologies.
J. Sci. Comput.
Sebastian Neumayer, Antonia Topalovic
2024 J jnl
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces.
CoRR
Sebastian Neumayer, Viktor Stein, Gabriele Steidl, Nicolaj Rux
2023 J jnl
A Neural-Network-Based Convex Regularizer for Inverse Problems.
IEEE Trans. Computational Imaging
Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser
2023 J jnl
Approximation of Lipschitz Functions Using Deep Spline Neural Networks.
SIAM J. Math. Data Sci.
Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser
2023 J jnl
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms.
CoRR
Alexis Goujon, Sebastian Neumayer, Michael Unser
2023 J jnl
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks.
CoRR
Sebastian Neumayer, Lénaïc Chizat, Michael Unser
2023 J jnl
Stability of Image-Reconstruction Algorithms.
IEEE Trans. Computational Imaging
Pol del Aguila Pla, Sebastian Neumayer, Michael Unser
2023 J jnl
Unbalanced Multi-marginal Optimal Transport.
J. Math. Imaging Vis.
Florian Beier, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl
2022 J jnl
A Neural-Network-Based Convex Regularizer for Image Reconstruction.
CoRR
Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser
2022 J jnl
An Image Registration Model in Electron Backscatter Diffraction.
SIAM J. Imaging Sci.
Manuel Gräf, Sebastian Neumayer, Ralf Hielscher, Gabriele Steidl, Moritz Liesegang, Tilmann Beck
2022 J jnl
Approximation of Lipschitz Functions using Deep Spline Neural Networks.
CoRR
Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser
2022 J jnl
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions.
CoRR
Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser
2022 J jnl
Stability of image reconstruction algorithms.
CoRR
Pol del Aguila Pla, Sebastian Neumayer, Michael Unser
2021 J jnl
Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization.
Found. Comput. Math.
Martin Ehler, Manuel Gräf, Sebastian Neumayer, Gabriele Steidl
2020 J jnl
Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds.
SIAM J. Imaging Sci.
Alexander Effland, Sebastian Neumayer, Martin Rumpf
2020 J jnl
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms.
CoRR
Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl
2020 J jnl
Stabilizing Invertible Neural Networks Using Mixture Models.
CoRR
Paul Hagemann, Sebastian Neumayer
2020 J jnl
Transfer Operators from Optimal Transport Plans for Coherent Set Detection.
CoRR
Péter Koltai, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl
2019 — conf
Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs.
SSVM
Johannes Hertrich, Miroslav Bacák, Sebastian Neumayer, Gabriele Steidl
2019 J jnl
Parseval Proximal Neural Networks.
CoRR
Marzieh Hasannasab, Johannes Hertrich, Sebastian Neumayer, Gerlind Plonka, Simon Setzer, Gabriele Steidl
2018 J jnl
Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces.
SIAM J. Imaging Sci.
Sebastian Neumayer, Johannes Persch, Gabriele Steidl
2017 — conf
Capturing the security effects of network segmentation via a continuous-time markov chain model.
SpringSim (ANSS)
Neal Wagner, Cem Safak Sahin, Jaime Peña, James Riordan, Sebastian Neumayer
2017 — conf
On a Projected Weiszfeld Algorithm.
SSVM
Sebastian Neumayer, Max Nimmer, Gabriele Steidl, Henrike Stephani
2016 J jnl
Network reliability under geographically correlated line and disk failure models.
Comput. Networks
Sebastian Neumayer, Eytan H. Modiano
2015 J jnl
Geographic max-flow and min-cut under a circular disk failure model.
Comput. Networks
Sebastian Neumayer, Alon Efrat, Eytan H. Modiano
2013 — conf
Assessing the effect of geographically correlated failures on interconnected power-communication networks.
SmartGridComm
Sebastian Neumayer, Eytan H. Modiano
2013 — —
On the robustness of network infrastructures to disasters and physical attacks.
Sebastian Neumayer
2012 A* conf
Geographic max-flow and min-cut under a circular disk failure model.
INFOCOM
Sebastian Neumayer, Alon Efrat, Eytan H. Modiano
2011 J jnl
Assessing the Vulnerability of the Fiber Infrastructure to Disasters.
IEEE/ACM Trans. Netw.
Sebastian Neumayer, Gil Zussman, Reuven Cohen, Eytan H. Modiano
2011 B conf
Network Reliability under Random Circular Cuts.
GLOBECOM
Sebastian Neumayer, Eytan H. Modiano
2010 A* conf
Network Reliability With Geographically Correlated Failures.
INFOCOM
Sebastian Neumayer, Eytan H. Modiano
2009 A* conf
Assessing the Vulnerability of the Fiber Infrastructure to Disasters.
INFOCOM
Sebastian Neumayer, Gil Zussman, Reuven Cohen, Eytan H. Modiano