62 citations · 449 across the 49 of their papers we have counts for
3 papers · 1 filter
Evolving Neural Networks through a Reverse Encoding Tree
Haoling Zhang, Chao-Han Huck Yang, Hector Zenil +3
NeuroEvolution is one of the most competitive evolutionary learning frameworks for designing novel neural networks for use in specific tasks, such as logic circuit design and digit…
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen +5
Networks are fundamental building blocks for representing data, and computations. Remarkable progress in learning in structurally defined (shallow or deep) networks has recently be…
Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics
C. H. Huck Yang, Rise Ooi, Tom Hiscock +2
Networks are abundant in biological systems. Small sized over-represented network motifs have been discovered, and it has been suggested that these constitute functional building b…