Sebastian Neumayer
Cited by
Cited by
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
Convolutional proximal neural networks and plug-and-play algorithms
J Hertrich, S Neumayer, G Steidl
Linear Algebra and its Applications 631, 203-234, 2021
Stabilizing invertible neural networks using mixture models
P Hagemann, S Neumayer
Inverse Problems 37 (8), 085002, 2021
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
Template-based image reconstruction from sparse tomographic data
LF Lang, S Neumayer, O Öktem, CB Schönlieb
Applied Mathematics & Optimization 82, 1081-1109, 2020
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
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
From Optimal Transport to Discrepancy
S Neumayer, G Steidl
Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2021
On the robust PCA and Weiszfeld’s algorithm
S Neumayer, M Nimmer, S Setzer, G Steidl
Applied Mathematics & Optimization 82 (3), 1017-1048, 2020
Regularization of inverse problems via time discrete geodesics in image spaces
S Neumayer, J Persch, G Steidl
Inverse Problems 35 (5), 055005, 2019
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
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
On the rotational invariant l1-norm PCA
S Neumayer, M Nimmer, S Setzer, G Steidl
Linear Algebra and its Applications 587, 243-270, 2020
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
A Neural-Network-Based Convex Regularizer for Image Reconstruction
A Goujon, S Neumayer, P Bohra, S Ducotterd, M Unser
arXiv preprint arXiv:2211.12461, 2022
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
Explicit representations for Banach subspaces of Lizorkin distributions
S Neumayer, M Unser
Analysis and Applications 21 (5), 1223-1250, 2023
Stability of image-reconstruction algorithms
P del Aguila Pla, S Neumayer, M Unser
IEEE Transactions on Computational Imaging 9, 1-12, 2023
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions
S Ducotterd, A Goujon, P Bohra, D Perdios, S Neumayer, M Unser
arXiv preprint arXiv:2210.16222, 2022
Template based image reconstruction facing different topologies
S Neumayer, A Topalovic
arXiv preprint arXiv:2108.13777, 2021
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Articles 1–20