| 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 | 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 | 26 | 2021 |
| Stabilizing invertible neural networks using mixture models P Hagemann, S Neumayer Inverse Problems 37 (8), 085002, 2021 | 22 | 2021 |
| Curve based approximation of measures on manifolds by discrepancy minimization M Ehler, M Gräf, S Neumayer, G Steidl Foundations of Computational Mathematics 21, 1595-1642, 2021 | 13 | 2021 |
| Template-based image reconstruction from sparse tomographic data LF Lang, S Neumayer, O Öktem, CB Schönlieb Applied Mathematics & Optimization 82, 1081-1109, 2020 | 13 | 2020 |
| Regularization of inverse problems via time discrete geodesics in image spaces S Neumayer, J Persch, G Steidl Inverse Problems 35 (5), 055005, 2019 | 12 | 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 | 12 | 2018 |
| 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 | 11 | 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 | 11 | 2020 |
| Unbalanced multi-marginal optimal transport F Beier, J von Lindheim, S Neumayer, G Steidl Journal of Mathematical Imaging and Vision, 1-20, 2022 | 9 | 2022 |
| On the rotational invariant L1-norm PCA S Neumayer, M Nimmer, S Setzer, G Steidl Linear Algebra and its Applications 587, 243-270, 2020 | 8 | 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 | 8 | 2020 |
| From optimal transport to discrepancy S Neumayer, G Steidl arXiv preprint arXiv:2002.01189, 2020 | 7 | 2020 |
| 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 | 5 | 2021 |
| Approximation of Lipschitz functions using deep spline neural networks S Neumayer, A Goujon, P Bohra, M Unser arXiv preprint arXiv:2204.06233, 2022 | 4 | 2022 |
| Explicit representations for Banach subspaces of Lizorkin distributions S Neumayer, M Unser arXiv preprint arXiv:2203.05312, 2022 | 4 | 2022 |
| On a projected Weiszfeld algorithm S Neumayer, M Nimmer, G Steidl, H Stephani Scale Space and Variational Methods in Computer Vision: 6th International …, 2017 | 3 | 2017 |
| Template based image reconstruction facing different topologies S Neumayer, A Topalovic arXiv preprint arXiv:2108.13777, 2021 | 2 | 2021 |
| Minimal Lipschitz and∞-harmonic extensions of vector-valued functions on finite graphs M Bačák, J Hertrich, S Neumayer, G Steidl Information and Inference: A Journal of the IMA 9 (4), 935-959, 2020 | 2 | 2020 |
| Methods for finding the offset in robust subspace fitting J Lellmann, S Neumayer, M Nimmer, G Steidl PAMM 19 (1), e201900323, 2019 | 1 | 2019 |
Simon SetzerSaarland UniversityVerified email at mia.uni-saarland.de
