Session

DescriptionThis session starts with four inspiring papers to boost the analog and mixed-signal circuit sizing and optimization process with various flavors of reinforcement learning and Bayesian optimization, as for instance using deep neural network, localized and trust-based modeling and exploration, and exploiting design knowledge. The last two papers present exciting ideas on unsupervised symmetry constraint extraction and interactive analog layout editing with legalization.