Abstract: Dataset distillation (DD) aims to accelerate the training speed of neural networks (NNs) by synthesizing a reduced dataset. NNs trained on the smaller dataset are expected to obtain almost ...
Abstract: Optimal inverse design, including topology optimization and evaluation of fundamental bounds on performance, which was introduced in Part 1, is applied to various antenna design problems. A ...