71 citations · 160 across the 17 of their papers we have counts for
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cs.NE2021
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization
Santiago Miret, Vui Seng Chua, Mattias Marder +3
Mixed-precision quantization is a powerful tool to enable memory and compute savings of neural network workloads by deploying different sets of bit-width precisions on separate com…
cs.NE2019★ 14 cited
Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation
Siyu Zhou, Mariano Phielipp, Jorge A. Sefair +2
In this paper, we propose SwarmNet -- a neural network architecture that can learn to predict and imitate the behavior of an observed swarm of agents in a centralized manner. Teste…