26 citations · 52 across the 3 of their papers we have counts for
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cs.NE2020
AutoML for Multilayer Perceptron and FPGA Co-design
Philip Colangelo, Oren Segal, Alex Speicher +1
State-of-the-art Neural Network Architectures (NNAs) are challenging to design and implement efficiently in hardware. In the past couple of years, this has led to an explosion in r…
cs.NE2019★ 2 cited
Evolutionary Cell Aided Design for Neural Network Architectures
Philip Colangelo, Oren Segal, Alexander Speicher +1
Mathematical theory shows us that multilayer feedforward Artificial Neural Networks(ANNs) are universal function approximators, capable of approximating any measurable function to…