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Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients.

, , , , , and . ICASSP, page 3493-3497. IEEE, (2022)

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Energy-Aware Resources in Digital Twin: The Case of Injection Moulding Machines., , , , , , , and . SOHOMA, volume 853 of Studies in Computational Intelligence, page 183-194. Springer, (2019)Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment., , , , , , , and . CoRR, (2020)What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?, , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22964-22984. PMLR, (2022)Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures., , , and . NeurIPS, (2020)Is the Number of Trainable Parameters All That Actually Matters?, , , and . ICBINB@NeurIPS, volume 163 of Proceedings of Machine Learning Research, page 27-32. PMLR, (2021)LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor., , , , , , , , , and 7 other author(s). HCS, page 1-11. IEEE, (2021)What Language Model to Train if You Have One Million GPU Hours?, , , , , , , , , and 8 other author(s). EMNLP (Findings), page 765-782. Association for Computational Linguistics, (2022)Photonic Differential Privacy with Direct Feedback Alignment., , , , , , and . NeurIPS, page 22010-22020. (2021)PAGnol: An Extra-Large French Generative Model., , , , , , , and . LREC, page 4275-4284. European Language Resources Association, (2022)The Falcon Series of Open Language Models., , , , , , , , , and 4 other author(s). CoRR, (2023)