Conservative Gaussian Process Models for Uncertainty Quantification and Bayesian Optimization in Signal Integrity Applications
P Manfredi - IEEE Transactions on Components, Packaging …, 2024 - ieeexplore.ieee.org
Surrogate modeling is being increasingly adopted in signal and power integrity analysis to
assist design exploration, optimization, and uncertainty quantification tasks. In this scenario …
assist design exploration, optimization, and uncertainty quantification tasks. In this scenario …
Combining Prior Knowledge with Transfer Learning (PKID-TL) for Fast Neural Network Enabled Uncertainty Quantification of Graphene On-Chip Interconnects
In this paper, an artificial neural network (ANN) enabled uncertainty quantification technique
is developed for graphene on-chip interconnects. In the proposed technique, primary ANNs …
is developed for graphene on-chip interconnects. In the proposed technique, primary ANNs …