record state
frontier-ownedReview status
This finding is part of accepted frontier state. Review events, reviewable changes, and proof state explain how it can change.
unreviewed
frontiers / frontier
Finding bundle
back to staterecord state
frontier-ownedThis finding is part of accepted frontier state. Review events, reviewable changes, and proof state explain how it can change.
finding statement
finding typeNo entity list is declared.
evidence
source-boundtheoretical · manual state transition
proof impact
packet context2 reviewable changes and 0 evaluation records are attached to this finding id.
Evidence and conditions
method
manual state transition
evidence type
theoretical
conditions
Provenance
source title
Fast CNN-based parameter estimation (MNRAS, 2023)
authors
reviewer:will-blair
Convolutional neural networks pre-trained on simulated binary black hole signals can return Bayesian posterior samples 6 orders of magnitude faster than nested sampling while maintaining compatibility with traditional Bayesian posteriors.
vs_90e6488b76096b72 · manual_curation
outgoing
No outgoing links.
events
vev_567f6a123e722b14finding.assertedManual finding added to frontier state
reviewer:will-blair · 2026-05-29
vev_4f8c6ff751773d50finding.caveatedVerifier caution: Claim of '6 orders of magnitude faster CNN than nested sampling' is dramatic and requires verification. MNRAS 527/2/2887 (2023) is access-restricted (403 error). The specific speedup factor cannot be independently verified from provided link.
reviewer:will-blair · 2026-05-29
reviewable changes
vpr_77aedf728b5e4a2efinding.addManual finding added to frontier state
applied · reviewer:will-blair · 2026-05-29
vpr_c30c309e8e5dea7afinding.caveatVerifier caution: Claim of '6 orders of magnitude faster CNN than nested sampling' is dramatic and requires verification. MNRAS 527/2/2887 (2023) is access-restricted (403 error). The specific speedup factor cannot be independently verified from provided link.
applied · reviewer:will-blair · 2026-05-29
evaluations
No evaluation record targets this finding id.