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Sebastian Neumayer
Sebastian Neumayer
Professor, TU Chemnitz
Bestätigte E-Mail-Adresse bei mathematik.tu-chemnitz.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Convolutional proximal neural networks and plug-and-play algorithms
J Hertrich, S Neumayer, G Steidl
Linear Algebra and its Applications 631, 203-234, 2021
612021
Parseval proximal neural networks
M Hasannasab, J Hertrich, S Neumayer, G Plonka, S Setzer, G Steidl
Journal of Fourier Analysis and Applications 26, 1-31, 2020
592020
Stabilizing invertible neural networks using mixture models
P Hagemann, S Neumayer
Inverse Problems 37 (8), 085002, 2021
512021
A Neural-Network-Based Convex Regularizer for Inverse Problems
A Goujon, S Neumayer, P Bohra, S Ducotterd, M Unser
IEEE Transactions on Computational Imaging 9, 781-795, 2023
47*2023
Unbalanced multi-marginal optimal transport
F Beier, J von Lindheim, S Neumayer, G Steidl
Journal of Mathematical Imaging and Vision 65 (3), 394-413, 2023
332023
Learning weakly convex regularizers for convergent image-reconstruction algorithms
A Goujon, S Neumayer, M Unser
SIAM Journal on Imaging Sciences 17 (1), 91-115, 2024
292024
Curve based approximation of measures on manifolds by discrepancy minimization
M Ehler, M Gräf, S Neumayer, G Steidl
Foundations of Computational Mathematics 21 (6), 1595-1642, 2021
272021
Approximation of Lipschitz functions using deep spline neural networks
S Neumayer, A Goujon, P Bohra, M Unser
SIAM Journal on Mathematics of Data Science 5 (2), 306-322, 2023
222023
From Optimal Transport to Discrepancy
S Neumayer, G Steidl
Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2021
222021
Measurement of strain, strain rate and crack evolution in shear cutting
C Hartmann, HA Weiss, P Lechner, W Volk, S Neumayer, JH Fitschen, ...
Journal of Materials Processing Technology 288, 116872, 2021
192021
Template-based image reconstruction from sparse tomographic data
LF Lang, S Neumayer, O Öktem, CB Schönlieb
Applied Mathematics & Optimization 82, 1081-1109, 2020
192020
Improving Lipschitz-constrained neural networks by learning activation functions
S Ducotterd, A Goujon, P Bohra, D Perdios, S Neumayer, M Unser
Journal of Machine Learning Research 25 (65), 1-30, 2024
182024
On the robust PCA and Weiszfeld’s algorithm
S Neumayer, M Nimmer, S Setzer, G Steidl
Applied Mathematics & Optimization 82 (3), 1017-1048, 2020
162020
Regularization of inverse problems via time discrete geodesics in image spaces
S Neumayer, J Persch, G Steidl
Inverse Problems 35 (5), 055005, 2019
142019
Morphing of manifold-valued images inspired by discrete geodesics in image spaces
S Neumayer, J Persch, G Steidl
SIAM Journal on Imaging Sciences 11 (3), 1898-1930, 2018
132018
Transfer operators from optimal transport plans for coherent set detection
P Koltai, J von Lindheim, S Neumayer, G Steidl
Physica D: Nonlinear Phenomena 426, 132980, 2021
112021
Stability of image-reconstruction algorithms
P del Aguila Pla, S Neumayer, M Unser
IEEE Transactions on Computational Imaging 9, 1-12, 2023
102023
On the rotational invariant l1-norm PCA
S Neumayer, M Nimmer, S Setzer, G Steidl
Linear Algebra and its Applications 587, 243-270, 2020
102020
Convergence of the time discrete metamorphosis model on Hadamard manifolds
A Effland, S Neumayer, M Rumpf
SIAM Journal on Imaging Sciences 13 (2), 557-588, 2020
102020
Wasserstein gradient flows for Moreau envelopes of f-divergences in reproducing kernel hilbert spaces
V Stein, S Neumayer, N Rux, G Steidl
arXiv preprint arXiv:2402.04613, 2024
82024
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