2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.NE2023
Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operator
Shailesh Garg, Souvik Chakraborty
We propose, in this paper, a Variable Spiking Wavelet Neural Operator (VS-WNO), which aims to bridge the gap between theoretical and practical implementation of Artificial Intellig…
cs.NE2023★ 1 cited
Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression
Shailesh Garg, Souvik Chakraborty
Redundant information transfer in a neural network can increase the complexity of the deep learning model, thus increasing its power consumption. We introduce in this paper a novel…
stat.ML2023★ 2 cited
Randomized prior wavelet neural operator for uncertainty quantification
Shailesh Garg, Souvik Chakraborty
In this paper, we propose a novel data-driven operator learning framework referred to as the \textit{Randomized Prior Wavelet Neural Operator} (RP-WNO). The proposed RP-WNO is an e…