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Sebastian Neumayer
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2020 – today
- 2024
- [j15]Sebastian Neumayer, Lénaïc Chizat, Michael Unser:
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks. J. Mach. Learn. Res. 25: 15:1-15:24 (2024) - [j14]Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser:
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. J. Mach. Learn. Res. 25: 65:1-65:30 (2024) - [j13]Sebastian Neumayer, Antonia Topalovic:
Template-Based Image Reconstruction Facing Different Topologies. J. Sci. Comput. 98(3): 57 (2024) - [j12]Alexis Goujon, Sebastian Neumayer, Michael Unser:
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. SIAM J. Imaging Sci. 17(1): 91-115 (2024) - [c9]Stanislas Ducotterd, Sebastian Neumayer, Michael Unser:
Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium. ICASSP 2024: 2031-2035 - [i13]Sebastian Neumayer, Viktor Stein, Gabriele Steidl, Nicolaj Rux:
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces. CoRR abs/2402.04613 (2024) - [i12]Sebastian Neumayer, Fabian Altekrüger:
Stability of Data-Dependent Ridge-Regularization for Inverse Problems. CoRR abs/2406.12289 (2024) - [i11]Mehrsa Pourya, Sebastian Neumayer, Michael Unser:
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers. CoRR abs/2407.06608 (2024) - 2023
- [j11]Florian Beier, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl:
Unbalanced Multi-marginal Optimal Transport. J. Math. Imaging Vis. 65(3): 394-413 (2023) - [j10]Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser:
Approximation of Lipschitz Functions Using Deep Spline Neural Networks. SIAM J. Math. Data Sci. 5(2): 306-322 (2023) - [j9]Pol del Aguila Pla, Sebastian Neumayer, Michael Unser:
Stability of Image-Reconstruction Algorithms. IEEE Trans. Computational Imaging 9: 1-12 (2023) - [j8]Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser:
A Neural-Network-Based Convex Regularizer for Inverse Problems. IEEE Trans. Computational Imaging 9: 781-795 (2023) - [i10]Sebastian Neumayer, Lénaïc Chizat, Michael Unser:
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks. CoRR abs/2303.17805 (2023) - [i9]Alexis Goujon, Sebastian Neumayer, Michael Unser:
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. CoRR abs/2308.10542 (2023) - 2022
- [j7]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): 228-260 (2022) - [i8]Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser:
Approximation of Lipschitz Functions using Deep Spline Neural Networks. CoRR abs/2204.06233 (2022) - [i7]Pol del Aguila Pla, Sebastian Neumayer, Michael Unser:
Stability of image reconstruction algorithms. CoRR abs/2206.07128 (2022) - [i6]Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser:
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. CoRR abs/2210.16222 (2022) - [i5]Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser:
A Neural-Network-Based Convex Regularizer for Image Reconstruction. CoRR abs/2211.12461 (2022) - 2021
- [j6]Martin Ehler, Manuel Gräf, Sebastian Neumayer, Gabriele Steidl:
Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization. Found. Comput. Math. 21(6): 1595-1642 (2021) - 2020
- [j5]Alexander Effland, Sebastian Neumayer, Martin Rumpf:
Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds. SIAM J. Imaging Sci. 13(2): 557-588 (2020) - [i4]Péter Koltai, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl:
Transfer Operators from Optimal Transport Plans for Coherent Set Detection. CoRR abs/2006.16085 (2020) - [i3]Paul Hagemann, Sebastian Neumayer:
Stabilizing Invertible Neural Networks Using Mixture Models. CoRR abs/2009.02994 (2020) - [i2]Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl:
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms. CoRR abs/2011.02281 (2020)
2010 – 2019
- 2019
- [c8]Johannes Hertrich, Miroslav Bacák, Sebastian Neumayer, Gabriele Steidl:
Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs. SSVM 2019: 183-195 - [i1]Marzieh Hasannasab, Johannes Hertrich, Sebastian Neumayer, Gerlind Plonka, Simon Setzer, Gabriele Steidl:
Parseval Proximal Neural Networks. CoRR abs/1912.10480 (2019) - 2018
- [j4]Sebastian Neumayer, Johannes Persch, Gabriele Steidl:
Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces. SIAM J. Imaging Sci. 11(3): 1898-1930 (2018) - 2017
- [c7]Sebastian Neumayer, Max Nimmer, Gabriele Steidl, Henrike Stephani:
On a Projected Weiszfeld Algorithm. SSVM 2017: 486-497 - [c6]Neal Wagner, Cem Safak Sahin, Jaime Peña, James Riordan, Sebastian Neumayer:
Capturing the security effects of network segmentation via a continuous-time markov chain model. SpringSim (ANSS) 2017: 17:1-17:12 - 2016
- [j3]Sebastian Neumayer, Eytan H. Modiano:
Network reliability under geographically correlated line and disk failure models. Comput. Networks 94: 14-28 (2016) - 2015
- [j2]Sebastian Neumayer, Alon Efrat, Eytan H. Modiano:
Geographic max-flow and min-cut under a circular disk failure model. Comput. Networks 77: 117-127 (2015) - 2013
- [b1]Sebastian Neumayer:
On the robustness of network infrastructures to disasters and physical attacks. Massachusetts Institute of Technology, Cambridge, MA, USA, 2013 - [c5]Sebastian Neumayer, Eytan H. Modiano:
Assessing the effect of geographically correlated failures on interconnected power-communication networks. SmartGridComm 2013: 366-371 - 2012
- [c4]Sebastian Neumayer, Alon Efrat, Eytan H. Modiano:
Geographic max-flow and min-cut under a circular disk failure model. INFOCOM 2012: 2736-2740 - 2011
- [j1]Sebastian Neumayer, Gil Zussman, Reuven Cohen, Eytan H. Modiano:
Assessing the Vulnerability of the Fiber Infrastructure to Disasters. IEEE/ACM Trans. Netw. 19(6): 1610-1623 (2011) - [c3]Sebastian Neumayer, Eytan H. Modiano:
Network Reliability under Random Circular Cuts. GLOBECOM 2011: 1-6 - 2010
- [c2]Sebastian Neumayer, Eytan H. Modiano:
Network Reliability With Geographically Correlated Failures. INFOCOM 2010: 1658-1666
2000 – 2009
- 2009
- [c1]Sebastian Neumayer, Gil Zussman, Reuven Cohen, Eytan H. Modiano:
Assessing the Vulnerability of the Fiber Infrastructure to Disasters. INFOCOM 2009: 1566-1574
Coauthor Index
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last updated on 2024-12-10 20:48 CET by the dblp team
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