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A Hardware-efficient Weight Sampling Circuit for Bayesian Neural Networks.

, , , and . Int. J. Netw. Comput., 10 (2): 84-93 (2020)

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F3: Beyond the horizon of conventional computing: From deep learning to neuromorphic systems., , , , , and . ISSCC, page 506-508. IEEE, (2017)Advanced Devices and Architectures., , and . Principles and Structures of FPGAs, Springer, (2018)Edge Inference Engine for Deep & Random Sparse Neural Networks with 4-bit Cartesian-Product MAC Array and Pipelined Activation Aligner., , , , , , and . HCS, page 1-21. IEEE, (2021)A Highly Accurate and Parallel Vision MLP FPGA Accelerator based on FP7/8 SIMD Operations., , , , , , and . MCSoC, page 478-485. IEEE, (2023)Decision Forest Training Accelerator Based on Binary Feature Decomposition., , , , , , and . FCCM, page 215. IEEE, (2023)Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet., , , , , , , , and . ISSCC, page 1-3. IEEE, (2022)Foreword., and . VLSI Circuits, page 1-2. IEEE, (2016)A GPU-Based Ising Machine With a Multi-Spin-Flip Capability for Constrained Combinatorial Optimization., , , , and . IEEE Access, (2024)Hardware-oriented stereo vision algorithm based on 1-D guided filtering and its FPGA implementation., , , , , , , , , and 1 other author(s). ICECS, page 169-172. IEEE, (2013)An Embedded DRAM-FPGA Chip with Instantaneous Logic Reconfiguration., , , , and . FCCM, page 264-266. IEEE Computer Society, (1998)