Attentive Neural Processes outperform Gaussian Processes and neural networks on light curve interpolation quality, feature recovery, calibration, and speed for 15 transient classes under realistic Rubin cadences.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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astro-ph.IM 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The Via Project is a planned five-year dual-hemisphere spectroscopic survey targeting over 2 million stars with 100 m/s RV stability and transient spectroscopy to r~24 using instruments on MMT and Magellan/Clay telescopes starting in 2027.
citing papers explorer
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Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP
Attentive Neural Processes outperform Gaussian Processes and neural networks on light curve interpolation quality, feature recovery, calibration, and speed for 15 transient classes under realistic Rubin cadences.
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The Via Project: Overview of the Science, Instrument, and Survey
The Via Project is a planned five-year dual-hemisphere spectroscopic survey targeting over 2 million stars with 100 m/s RV stability and transient spectroscopy to r~24 using instruments on MMT and Magellan/Clay telescopes starting in 2027.