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20232026
most citedNeuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression

1 citations · 1 across the 9 of their papers we have counts for

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cs.LG2024

Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning

Isha Jain, Shailesh Garg, Shaurya Shriyam +1

Graph-based representations for samples of computational mechanics-related datasets can prove instrumental when dealing with problems like irregular domains or molecular structures…

stat.ML2024

Distribution free uncertainty quantification in neuroscience-inspired deep operators

Shailesh Garg, Souvik Chakraborty

Energy-efficient deep learning algorithms are essential for a sustainable future and feasible edge computing setups. Spiking neural networks (SNNs), inspired from neuroscience, are…