| 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 | 42 | 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 | 36 | 2021 |
| Stabilizing invertible neural networks using mixture models P Hagemann, S Neumayer Inverse Problems 37 (8), 085002, 2021 | 29 | 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 | 16 | 2021 |
| Template-based image reconstruction from sparse tomographic data LF Lang, S Neumayer, O Öktem, CB Schönlieb Applied Mathematics & Optimization 82, 1081-1109, 2020 | 16 | 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 | 14 | 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 | 13 | 2023 |
| From Optimal Transport to Discrepancy S Neumayer, G Steidl Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2021 | 13 | 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 | 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 | 13 | 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 |
| 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 | 10 | 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 | 9 | 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 | 9 | 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 | 6 | 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 | 5 | 2021 |
| Explicit representations for Banach subspaces of Lizorkin distributions S Neumayer, M Unser Analysis and Applications 21 (5), 1223-1250, 2023 | 4 | 2023 |
| Stability of image-reconstruction algorithms P del Aguila Pla, S Neumayer, M Unser IEEE Transactions on Computational Imaging 9, 1-12, 2023 | 3 | 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 | 3 | 2022 |
| Template based image reconstruction facing different topologies S Neumayer, A Topalovic arXiv preprint arXiv:2108.13777, 2021 | 3 | 2021 |
Steidl, GabrieleTU BerlinVerified email at math.tu-berlin.de
