DELOS applies contrastive learning to phase-folded light curves to detect shallow intermediate-to-long period transits, reporting 15.5% and 11.25% gains in combined precision-recall over BLS and TLS in low-SNR tests plus 3-80x speedups.
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2 Pith papers cite this work. Polarity classification is still indexing.
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astro-ph.EP 2years
2026 2representative citing papers
Two-stage GMM clustering of close-in exoplanets in dynamical feature space mapped to pebble-accretion models identifies sub-populations with distinct formation histories including earlier epochs for very-massive gas giants.
citing papers explorer
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DELOS: Detecting Shallow Transits in Kepler Photometry Using a Contrastive-Learning Framework
DELOS applies contrastive learning to phase-folded light curves to detect shallow intermediate-to-long period transits, reporting 15.5% and 11.25% gains in combined precision-recall over BLS and TLS in low-SNR tests plus 3-80x speedups.
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Machine-learning clustering of close-in exoplanet populations: links to pebble accretion
Two-stage GMM clustering of close-in exoplanets in dynamical feature space mapped to pebble-accretion models identifies sub-populations with distinct formation histories including earlier epochs for very-massive gas giants.