26 citations · 98 across the 31 of their papers we have counts for
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cs.LG2022
A simple approach for quantizing neural networks
Johannes Maly, Rayan Saab
In this short note, we propose a new method for quantizing the weights of a fully trained neural network. A simple deterministic pre-processing step allows us to quantize network l…
eess.SP2022★ 1 cited
Spectrally Adaptive Common Spatial Patterns
Mahta Mousavi, Eric Lybrand, Shuangquan Feng +3
The method of Common Spatial Patterns (CSP) is widely used for feature extraction of electroencephalography (EEG) data, such as in motor imagery brain-computer interface (BCI) syst…
cs.LG2022★ 1 cited
Post-training Quantization for Neural Networks with Provable Guarantees
Jinjie Zhang, Yixuan Zhou, Rayan Saab
While neural networks have been remarkably successful in a wide array of applications, implementing them in resource-constrained hardware remains an area of intense research. By re…