One-Shot Generation of Near-Optimal Topology through Theory-Driven Machine Learning

Ruijin Cang, Hope Yao, Yi Ren

We introduce a theory-driven mechanism for learning a neural network model that performs generative topology design in one shot given a problem setting, circumventing the conventio…