| A Neural-Network-Based Convex Regularizer for Inverse Problems A Goujon, S Neumayer, P Bohra, S Ducotterd, M Unser IEEE Transactions on Computational Imaging, 2023 | 37* | 2023 |
| 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 | 14 | 2024 |
| Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures M Unser, A Goujon, S Ducotterd arXiv preprint arXiv:2408.13114, 2024 | | 2024 |
| Parseval Convolution Operators and Neural Networks M Unser, S Ducotterd arXiv preprint arXiv:2408.09981, 2024 | | 2024 |
| Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium S Ducotterd, S Neumayer, M Unser ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
