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A Blueprint for Precise and Fault-Tolerant Analog Neural Networks., , , and . CoRR, (2023)An Electro-Photonic System for Accelerating Deep Neural Networks., , , , , , , , , and . ACM J. Emerg. Technol. Comput. Syst., 19 (4): 30:1-30:31 (October 2023)WDM Weighted Sum in an 8x8 SOA-Based InP Cross-Connect for Photonic Deep Neural Networks., , , , and . PSC, page 1-3. IEEE, (2018)INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers., , , , , and . CoRR, (2023)An Electro-Photonic System for Accelerating Deep Neural Networks., , , , , , , , , and . CoRR, (2021)Adaptive Block Floating-Point for Analog Deep Learning Hardware., , , , , , , , and . CoRR, (2022)Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators., , , , and . CoRR, (2023)Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware., and . CoRR, (2023)Delocalized Photonic Deep Learning on the Internet's Edge., , , , , , , , , and 6 other author(s). CoRR, (2022)Accelerating DNN Training With Photonics: A Residue Number System-Based Design., , , and . CoRR, (2023)