Sebastian Neumayer

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 29

Top Venues

CoRR

SIAM J. Imaging Sci.

SSVM

IEEE Trans. Computational Imaging

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Mehrsa Pourya, Sebastian Neumayer, Michael Unser
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers. CoRR (2024)
Stanislas Ducotterd, Sebastian Neumayer, Michael Unser
Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium. ICASSP (2024)
Sebastian Neumayer, Antonia Topalovic
Template-Based Image Reconstruction Facing Different Topologies. J. Sci. Comput. 98 (3) (2024)
Sebastian Neumayer, Viktor Stein, Gabriele Steidl
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces. CoRR (2024)
Sebastian Neumayer, Fabian Altekrüger
Stability of Data-Dependent Ridge-Regularization for Inverse Problems. CoRR (2024)
Alexis Goujon, Sebastian Neumayer, Michael Unser
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. SIAM J. Imaging Sci. 17 (1) (2024)
Sebastian Neumayer, Lénaïc Chizat, Michael Unser
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks. CoRR (2023)
Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser
A Neural-Network-Based Convex Regularizer for Inverse Problems. IEEE Trans. Computational Imaging 9 (2023)
Florian Beier, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl
Unbalanced Multi-marginal Optimal Transport. J. Math. Imaging Vis. 65 (3) (2023)
Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser
Approximation of Lipschitz Functions Using Deep Spline Neural Networks. SIAM J. Math. Data Sci. 5 (2) (2023)
Alexis Goujon, Sebastian Neumayer, Michael Unser
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. CoRR (2023)
Pol del Aguila Pla, Sebastian Neumayer, Michael Unser
Stability of Image-Reconstruction Algorithms. IEEE Trans. Computational Imaging 9 (2023)
Manuel Gräf, Sebastian Neumayer, Ralf Hielscher, Gabriele Steidl, Moritz Liesegang, Tilmann Beck
An Image Registration Model in Electron Backscatter Diffraction. SIAM J. Imaging Sci. 15 (1) (2022)
Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. CoRR (2022)
Pol del Aguila Pla, Sebastian Neumayer, Michael Unser
Stability of image reconstruction algorithms. CoRR (2022)
Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser
Approximation of Lipschitz Functions using Deep Spline Neural Networks. CoRR (2022)
Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser
A Neural-Network-Based Convex Regularizer for Image Reconstruction. CoRR (2022)
Martin Ehler, Manuel Gräf, Sebastian Neumayer, Gabriele Steidl
Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization. Found. Comput. Math. 21 (6) (2021)
Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms. CoRR (2020)
Péter Koltai, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl
Transfer Operators from Optimal Transport Plans for Coherent Set Detection. CoRR (2020)
Alexander Effland, Sebastian Neumayer, Martin Rumpf
Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds. SIAM J. Imaging Sci. 13 (2) (2020)
Paul Hagemann, Sebastian Neumayer
Stabilizing Invertible Neural Networks Using Mixture Models. CoRR (2020)
Johannes Hertrich, Miroslav Bacák, Sebastian Neumayer, Gabriele Steidl
Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs. SSVM (2019)
Marzieh Hasannasab, Johannes Hertrich, Sebastian Neumayer, Gerlind Plonka, Simon Setzer, Gabriele Steidl
Parseval Proximal Neural Networks. CoRR (2019)
Sebastian Neumayer, Johannes Persch, Gabriele Steidl
Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces. SIAM J. Imaging Sci. 11 (3) (2018)
Neal Wagner, Cem Safak Sahin, Jaime Pena, James Riordan, Sebastian Neumayer
Capturing the security effects of network segmentation via a continuous-time markov chain model. SpringSim (ANSS) (2017)
Sebastian Neumayer, Max Nimmer, Gabriele Steidl, Henrike Stephani
On a Projected Weiszfeld Algorithm. SSVM (2017)
Sebastian Neumayer, Eytan H. Modiano
Network reliability under geographically correlated line and disk failure models. Comput. Networks 94 (2016)
Sebastian Neumayer, Alon Efrat, Eytan H. Modiano
Geographic max-flow and min-cut under a circular disk failure model. Comput. Networks 77 (2015)
Sebastian Neumayer, Eytan H. Modiano
Assessing the effect of geographically correlated failures on interconnected power-communication networks. SmartGridComm (2013)
Sebastian Neumayer, Alon Efrat, Eytan H. Modiano
Geographic max-flow and min-cut under a circular disk failure model. INFOCOM (2012)
Sebastian Neumayer, Eytan H. Modiano
Network Reliability under Random Circular Cuts. GLOBECOM (2011)
Sebastian Neumayer, Gil Zussman, Reuven Cohen, Eytan H. Modiano
Assessing the Vulnerability of the Fiber Infrastructure to Disasters. IEEE/ACM Trans. Netw. 19 (6) (2011)
Sebastian Neumayer, Eytan H. Modiano
Network Reliability With Geographically Correlated Failures. INFOCOM (2010)
Sebastian Neumayer, Gil Zussman, Reuven Cohen, Eytan H. Modiano
Assessing the Vulnerability of the Fiber Infrastructure to Disasters. INFOCOM (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sebastian Neumayer