2 papers
cs.LG2019
Amortized Inference of Variational Bounds for Learning Noisy-OR
Yiming Yan, Melissa Ailem, Fei Sha
Classical approaches for approximate inference depend on cleverly designed variational distributions and bounds. Modern approaches employ amortized variational inference, which use…
physics.optics2019
Automated first-order design of double-sided telecentric zoom systems based on PSO algorithms
Zichao Fan, Shili Wei, Zhengbo Zhu +3
In this paper, we propose a new approach to automatically retrieve the first-order design of double-sided telecentric zoom systems with high efficiency based on Particle Swarm Opti…