Prior knowledge accelerated transfer learning (PKI-TL) for machine learning assisted uncertainty...

Combining Prior Knowledge with Transfer Learning (PKID-TL) for Fast Neural Network Enabled Uncertainty Quantification of Graphene On-Chip Interconnects

S Guglani, AK Jakhar, A Dasgupta… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …
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A Fast Metalearning Algorithm for Neural Network Enabled Uncertainty Quantification of Graphene Based Interconnects with Passive Shielding

AK Jakhar, D Basu, K Dimple, S Guglani… - … , Signal & Power …, 2024 - ieeexplore.ieee.org
Inserting passive shield lines in between the active and victim conductors has become a
standard approach for mitigating the crosstalk effects in multi-walled carbon nanotube …
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Noise-Aware Uncertainty Quantification of MLGNR Interconnects using Fast Trained Artificial Neural Networks

AK Jakhar, S Guglani, A Dasgupta… - 2023 IEEE Electrical …, 2023 - ieeexplore.ieee.org
This paper presents a prior knowledge accelerated transfer learning technique to efficiently
train artificial neural networks (ANNs) to address uncertainty in on-chip multilayer graphene …
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