Tag: wno

  • Distribution free uncertainty quantification in neuroscience-inspired deep operators

    Distribution free uncertainty quantification in neuroscience-inspired deep operators arXiv:2412.09369v1 Announce Type: new Abstract: Energy-efficient deep learning algorithms are essential for a sustainable future and feasible edge computing setups. Spiking neural networks (SNNs), inspired from neuroscience, are a positive step in the direction of achieving the required energy efficiency. However, in a bid to lower the…