Meta-learned LSTM with particle swarm optimization predicts pulsar timing residuals from 10% of data in new frequency domains on IPTA DR2.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Bayesian fitting of an eccentric Keplerian orbit to the radio light curve of PKS 2131-021 gives e = 0.053 ± 0.015 without red noise but favors a circular orbit plus DRW noise with e < 0.15.
citing papers explorer
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Few-Shot Prediction for Pulsar Noise with Long Short-Term Memory Network
Meta-learned LSTM with particle swarm optimization predicts pulsar timing residuals from 10% of data in new frequency domains on IPTA DR2.
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Constraining Orbital Eccentricity of a Supermassive Black Hole Binary Candidate PKS 2131-0211
Bayesian fitting of an eccentric Keplerian orbit to the radio light curve of PKS 2131-021 gives e = 0.053 ± 0.015 without red noise but favors a circular orbit plus DRW noise with e < 0.15.