PI-ResNet, a time-domain Siamese 1D ResNet with SE modules, identifies strongly lensed GW candidate pairs from whitened strain data with reported accuracies of 93.8-95.6% on simulated ET noise and 78-84% on LIGO noise.
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Time-Domain Deep Learning for Pairwise Identification of Strongly Lensed Gravitational-Wave Candidates
PI-ResNet, a time-domain Siamese 1D ResNet with SE modules, identifies strongly lensed GW candidate pairs from whitened strain data with reported accuracies of 93.8-95.6% on simulated ET noise and 78-84% on LIGO noise.