18 citations · 74 across the 36 of their papers we have counts for
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cs.AR2026
ShatterQuant: Breaking Uniform Precision with Block-Wise Mixed-Precision on a Systolic Transformer Hardware Accelerator
Mikolaj Walczak, Edward Humes, Chao Fang +2
Due to limited support for intra-tensor heterogeneous precision in conventional accelerators, neural network quantization remains largely restricted to per-tensor precision assignm…
cs.AR2024★ 2 cited
Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons
Asmer Hamid Ali, Mozhgan Navardi, Tinoosh Mohsenin
Tiny Machine Learning (TinyML) has become a growing field in on-device processing for Internet of Things (IoT) applications, capitalizing on AI algorithms that are optimized for th…