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Enabling Resistive-RAM-based Activation Functions for Deep Neural Network Acceleration.

, , , , , , , and . ACM Great Lakes Symposium on VLSI, page 345-350. ACM, (2020)

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VLSI implementation of an 855 Mbps high performance soft-output K-Best MIMO detector., , , and . ISCAS, page 2849-2852. IEEE, (2012)Mixer-based Local Residual Network for Lightweight Image Super-resolution., , , and . CVPR Workshops, page 1593-1602. IEEE, (2023)Fast FPGA-Based Emulation for ReRAM-Enabled Deep Neural Network Accelerator., , , , , and . ISCAS, page 1-5. IEEE, (2021)COSA:Co-Operative Systolic Arrays for Multi-head Attention Mechanism in Neural Network using Hybrid Data Reuse and Fusion Methodologies., , , , and . DAC, page 1-6. IEEE, (2023)Lightweight image super-resolution based on deep learning: State-of-the-art and future directions., , and . Inf. Fusion, (June 2023)One Size Does Not Fit All: A Detailed Analysis and Modeling of P2P Traffic., , , and . GLOBECOM, page 393-398. IEEE, (2007)Deep Learning-Based Modeling of 5G Core Control Plane for 5G Network Digital Twin., , , , and . IEEE Trans. Cogn. Commun. Netw., 10 (1): 238-251 (February 2024)Efficient image super-resolution based on transformer with bidirectional interaction., , and . Appl. Soft Comput., (2024)INDM: Chiplet-Based Interconnect Network and Dataflow Mapping for DNN Accelerators., , , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 43 (4): 1107-1120 (April 2024)NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results., , , , , , , , , and 117 other author(s). CVPR Workshops, page 1346-1372. IEEE, (2023)