| Deep time-delay reservoir computing: Dynamics and memory capacity M Goldmann, F Köster, K Lüdge, S Yanchuk Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (9), 2020 | 74 | 2020 |
| Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatiotemporal systems using scalable neural networks M Goldmann, CR Mirasso, I Fischer, MC Soriano Physical Review E 106 (4), 044211, 2022 | 7 | 2022 |
| Exploiting oscillatory dynamics of delay systems for reservoir computing M Goldmann, I Fischer, CR Mirasso, M C Soriano Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (9), 2023 | 6 | 2023 |
| A photonics perspective on computing with physical substrates S Abreu, I Boikov, M Goldmann, T Jonuzi, A Lupo, S Masaad, L Nguyen, ... Reviews in Physics, 100093, 2024 | 5 | 2024 |
| Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance M Goldmann, CR Mirasso, I Fischer, MC Soriano 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 5 | 2021 |
| Chaos Interdiscip M Goldmann, F Köster, K Lüdge, S Yanchuk J. Nonlinear Sci 30 (9), 093124, 2020 | 5 | 2020 |
| Reconfigurable time-space photonic integrated convolutional accelerator T Jonuzi, A Lupo, L Talandier, M Goldmann, I Fischer, A Argyris, S Massar, ... AI and Optical Data Sciences V 12903, 6-10, 2024 | 2 | 2024 |
| Roadmap on Neuromorphic Photonics D Brunner, BJ Shastri, MAA Qadasi, H Ballani, S Barbay, S Biasi, ... arXiv preprint arXiv:2501.07917, 2025 | 1 | 2025 |
| A high performance fully tunable laser-based neural network A Skalli, M Goldmann, X Porte, N Haghighi, S Reitzenstein, JA Lott, ... Nonlinear Optics, Tu3B. 2, 2023 | 1 | 2023 |
| Inferring untrained complex dynamics of delay systems using an adapted echo state network M Goldmann, CR Mirasso, I Fischer, MC Soriano arXiv e-prints, arXiv: 2111.03706, 2021 | 1 | 2021 |
| Annealing-inspired training of an optical neural network with ternary weights A Skalli, M Goldmann, N Haghighi, S Reitzenstein, JA Lott, D Brunner Communications Physics 8 (1), 68, 2025 | | 2025 |
| Adaptive control of recurrent neural networks using conceptors G Pourcel, M Goldmann, I Fischer, MC Soriano Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (10), 2024 | | 2024 |
| A high speed fully trainable laser-based neural network A Skalli, M Goldmann, N Haghighi, M Gebski, S Reitzenstein, ... Machine Learning in Photonics, PC130170R, 2024 | | 2024 |
| Driven semiconductor lasers for information processing M Goldmann, A Argyris, I Fischer, MC Soriano Machine Learning in Photonics, PC130170T, 2024 | | 2024 |
| Reviews in Physics S Abreu, I Boikov, M Goldmann, T Jonuzi, A Lupo, S Masaad, L Nguyen, ... Reviews in Physics 12, 100093, 2024 | | 2024 |
| Online learning strategies for optical neural networks M Goldmann, A Skalli, D Brunner Emerging Topics in Artificial Intelligence (ETAI) 2023, PC1265514, 2023 | | 2023 |
| Inferring Unseen Complex Dynamics of a Semiconductor Laser Subject to Feedback with a Digital Twin G Mirko, F Ingo, MR Claudio, SC Miguel IEICE Proceedings Series 76 (B3L-43), 2023 | | 2023 |
| Speeding up a time-delay photonic reservoir M Goldmann, I Estebanez, EA Vlieg, CR Mirasso, I Fischer, A Argyris, ... The European Conference on Lasers and Electro-Optics, jsiii_2_2, 2023 | | 2023 |
| A scalable and fully tuneable VCSEL-based neural network A Skalli, M Goldmann, X Porte, N Haghighi, S Reitzenstein, JA Lott, ... EPJ Web of Conferences 287, 13008, 2023 | | 2023 |
| Supplemental Material: Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks M Goldmann, CR Mirasso, I Fischer, MC Soriano American Physical Society, 2022 | | 2022 |