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Low Power Speaker Identification using Look Up-free Gaussian Mixture Model in CMOS.

, , , , and . COOL CHIPS, page 1-3. IEEE, (2019)

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ENOS: Energy-Aware Network Operator Search in Deep Neural Networks., , , , , , and . IEEE Access, (2022)MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference Using Memory-Immersed Data Conversion and Multiplication-Free Operators., , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 68 (5): 1966-1978 (2021)Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning., , , , , , and . AICAS, page 1-5. IEEE, (2023)MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence., , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 70 (2): 884-896 (February 2023)Low Power Speaker Identification using Look Up-free Gaussian Mixture Model in CMOS., , , , and . COOL CHIPS, page 1-3. IEEE, (2019)Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network., , , and . ISCAS, page 1-5. IEEE, (2020)Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability., , , and . DATE, page 890-895. IEEE, (2021)Towards Co-designing Neural Network Function Approximators with In-SRAM Computing., , , , and . EMC2@NeurIPS, page 40-43. IEEE, (2019)