Meta-learned LSTM with particle swarm optimization predicts pulsar timing residuals from 10% of data in new frequency domains on IPTA DR2.
Understanding and analysing time-correlated stochastic signals in pulsar timing , volume=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.