A Bayesian deep process convolution with input-dependent smoothing improves recovery of the nonlinear matter power spectrum from multi-resolution simulations and is released as an R package.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.CO 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Bayesian "Deep" Process Convolutions: An Application in Cosmology
A Bayesian deep process convolution with input-dependent smoothing improves recovery of the nonlinear matter power spectrum from multi-resolution simulations and is released as an R package.