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HW/SW Codesign for Approximation-Aware Binary Neural Networks.

, , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (1): 33-47 (March 2023)

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Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance., , , , , , , , and . DATE, page 673-678. IEEE, (2021)Fault Tolerance on Control Applications: Empirical Investigations of Impacts from Incorrect Calculations., , and . EITEC@CPSWeek, page 17-24. IEEE Computer Society, (2018)Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods., , , , and . EuroMLSys@EuroSys, page 87-93. ACM, (2023)Memory-efficient training of binarized neural networks on the edge., and . DAC, page 661-666. ACM, (2022)Impact of Non-Volatile Memory Cells on Spiking Neural Network Annealing Machine With In-Situ Synapse Processing., , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 70 (11): 4380-4393 (November 2023)Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture., , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 69 (6): 2516-2528 (2022)FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors., , , , , , , and . IEEE Trans. Computers, 71 (7): 1681-1695 (2022)Unlocking Efficiency in BNNs: Global by Local Thresholding for Analog-Based HW Accelerators., , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (4): 940-955 (December 2023)Machine Learning Based on Emerging Memories., , and . Mach. Learn. under Resour. Constraints Vol. 1 (1), De Gruyter, (2022)Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units., , , , , and . ISLPED, page 1-6. IEEE, (2023)