Benchmark finds some deep learning models match gradient-boosted trees on LIGO glitch classification with fewer parameters and partially consistent feature importance across architectures.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
gr-qc 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Cross-correlations between quantum degrees of freedom are required for consistent effective dynamics in Brans-Dicke Bianchi I cosmology, smoothing bounces and keeping energy density finite.
citing papers explorer
-
Evaluating Deep Learning Models for Multiclass Classification of LIGO Gravitational-Wave Glitches
Benchmark finds some deep learning models match gradient-boosted trees on LIGO glitch classification with fewer parameters and partially consistent feature importance across architectures.
-
Quantum Backreaction in Effective Brans-Dicke Bianchi I Cosmology
Cross-correlations between quantum degrees of freedom are required for consistent effective dynamics in Brans-Dicke Bianchi I cosmology, smoothing bounces and keeping energy density finite.