| Convolutional proximal neural networks and plug-and-play algorithms J Hertrich, S Neumayer, G Steidl Linear Algebra and its Applications 631, 203-234, 2021 | 52 | 2021 |
| 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 | 52 | 2020 |
| Stabilizing invertible neural networks using mixture models P Hagemann, S Neumayer Inverse Problems 37 (8), 085002, 2021 | 39 | 2021 |
| 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 | 32* | 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 | 26 | 2023 |
| 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 | 21 | 2021 |
| 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 | 19 | 2023 |
| From Optimal Transport to Discrepancy S Neumayer, G Steidl Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2021 | 19 | 2021 |
| 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 | 19 | 2021 |
| Template-based image reconstruction from sparse tomographic data LF Lang, S Neumayer, O Öktem, CB Schönlieb Applied Mathematics & Optimization 82, 1081-1109, 2020 | 17 | 2020 |
| On the robust PCA and Weiszfeld’s algorithm S Neumayer, M Nimmer, S Setzer, G Steidl Applied Mathematics & Optimization 82 (3), 1017-1048, 2020 | 15 | 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 | 13 | 2018 |
| 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 | 12 | 2024 |
| 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 | 12 | 2024 |
| On the rotational invariant l1-norm PCA S Neumayer, M Nimmer, S Setzer, G Steidl Linear Algebra and its Applications 587, 243-270, 2020 | 10 | 2020 |
| Stability of image-reconstruction algorithms P del Aguila Pla, S Neumayer, M Unser IEEE Transactions on Computational Imaging 9, 1-12, 2023 | 9 | 2023 |
| 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 | 9 | 2021 |
| 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 |
| Explicit representations for Banach subspaces of Lizorkin distributions S Neumayer, M Unser Analysis and Applications 21 (5), 1223-1250, 2023 | 6 | 2023 |
Gabriele SteidlTU Berlin在 math.tu-berlin.de 的电子邮件经过验证
