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VLSI implementation of deep neural networks using integral stochastic computing., , , , and . ISTC, page 216-220. IEEE, (2016)Optimization of Protograph LDPC Codes based on High-Level Energy Models., , , and . ISWCS, page 6-10. IEEE, (2019)Modeling and Energy Optimization of LDPC Decoder Circuits With Timing Violations., , and . IEEE Trans. Commun., 66 (3): 932-946 (2018)Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering., , , , and . CoRR, (2021)Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders., , , , and . CoRR, (2021)Energy optimization of quantized min-sum decoders for protograph-based LDPC codes., , , and . Ann. des Télécommunications, 75 (11): 615-621 (2020)Decentralized Beamforming for Cell-Free Massive MIMO With Unsupervised Learning., , , and . IEEE Commun. Lett., 26 (5): 1042-1046 (2022)Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference., , , , , , and . NEWCAS, page 1-5. IEEE, (2023)Towards an Accurate High-Level Energy Model for LDPC Decoders., , , and . ISTC, page 1-5. IEEE, (2021)VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing., , , , and . IEEE Trans. Very Large Scale Integr. Syst., 25 (10): 2688-2699 (2017)