Probabilistic neural networks recover consistent posteriors to Gaussian processes in PTA gravitational-wave background inference while substantially reducing training and MCMC runtime.
Given an input vector, the data are propagated forward through successive layers
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2026 1verdicts
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Replacing Gaussian Processes with Neural Networks in Pulsar Timing Array Inference of the Gravitational-Wave Background
Probabilistic neural networks recover consistent posteriors to Gaussian processes in PTA gravitational-wave background inference while substantially reducing training and MCMC runtime.