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sarosh | 2 years ago

The paper, Trigger-Level Event Reconstruction for Neutrino Telescopes Using Sparse Submanifold Convolutional Neural Networks, is here https://arxiv.org/abs/2303.08812.

The crucial advantage of SSCNN are that they "replaces traditional convolutions with sparse submanifold convolutions" which operate "only on the non-zero elements" and creates efficiencies.

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