Prayush Kumar

Survey of Novel Deep Learning Architectures for Denoising Gravitational-wave Signals

This work presents the first controlled comparison of five neural-network architectures for gravitational-wave denoising, trained identically across the full astrophysically-motivated spinning binary-black-hole parameter space, and presents the Multi-Scale Frequency-Aware architecture, achieving the best fidelity while...