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20232025
most citedA novel stacked hybrid autoencoder for imputing LISA data gaps

8 citations · 13 across the 5 of their papers we have counts for

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astro-ph.IM2025

Robust and scalable simulation-based inference for gravitational wave signals with gaps

Ruiting Mao, Jeong Eun Lee, Matthew C. Edwards

The Laser Interferometer Space Antenna (LISA) data stream will inevitably contain gaps due to maintenance and environmental disturbances, introducing nonstationarities and spectral…

gr-qc2025

First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals

Amin Boumerdassi, Matthew C. Edwards, Avi Vajpeyi +1

This work investigates the impact of streams of transient, non-Gaussian noise artifacts or "glitches" on the parameter estimation of extreme mass ratio inspirals (EMRI) in the Lase…