Walking Noise: On Layer-Specific Robustness of Neural Architectures Against Noisy Computations and Associated Characteristic Learning Dynamics

Author:

Borras HendrikORCID,Klein BernhardORCID,Fröning HolgerORCID

Publisher

Springer Nature Switzerland

Reference35 articles.

1. Ash-Saki, A., Alam, M., Ghosh, S.: QURE: Qubit re-allocation in noisy intermediate-scale quantum computers. In: Proceedings of the 56th Annual Design Automation Conference 2019, DAC 2019. Association for Computing Machinery, New York, NY, USA (2019). https://doi.org/10.1145/3316781.3317888

2. Banbury, C.R., et al.: Benchmarking TinyML systems: challenges and direction (2020)

3. Brückerhoff-Plückelmann, F., et al.: Probabilistic photonic computing with chaotic light (2024)

4. Cappelli, A., Ohana, R., Launay, J., Meunier, L., Poli, I., Krzakala, F.: Adversarial robustness by design through analog computing and synthetic gradients. In: 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (2022). https://doi.org/10.1109/ICASSP43922.2022.9746671

5. Chen, R.T.Q., Rubanova, Y., Bettencourt, J., Duvenaud, D.K.: Neural ordinary differential equations. In: Advances in Neural Information Processing Systems, vol. 31. Curran Associates, Inc. (2018)

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