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Investigating data representation for efficient and reliable Convolutional Neural Networks.

, , , , and . Microprocess. Microsystems, (October 2021)

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Test and Reliability of Approximate Hardware., , , , and . Approximate Computing, Springer International Publishing, (2022)A Design Space Exploration Framework for Memristor-Based Crossbar Architecture., , , , and . DDECS, page 38-43. IEEE, (2022)Input-Aware Approximate Computing., , , , , , , , and . AQTR, page 1-6. IEEE, (2022)XbarGen: A memristor based boolean logic synthesis tool., , , and . VLSI-SoC, page 1-6. IEEE, (2016)Special session: How approximate computing impacts verification, test and reliability., , , , , , , and . VTS, page 1. IEEE Computer Society, (2018)Efficient Neural Network Approximation via Bayesian Reasoning., , , and . DDECS, page 45-50. IEEE, (2021)Formal Design Space Exploration for memristor-based crossbar architecture., , and . DDECS, page 145-150. IEEE, (2017)Towards Dependable RISC-V Cores for Edge Computing Devices., , , , , , , , , and . IOLTS, page 1-7. IEEE, (2023)Investigation of Mean-Error Metrics for Testing Approximate Integrated Circuits., , , , and . DFT, page 1-6. IEEE Computer Society, (2018)Improving the Fault Resilience of Neural Network Applications Through Security Mechanisms., , , , and . DSN (Supplements), page 23-24. IEEE, (2022)