24 citations · 33 across the 4 of their papers we have counts for
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astro-ph.IM2025
CLAWDIA: A dictionary learning framework for gravitational-wave data analysis
Miquel Llorens-Monteagudo, Alejandro Torres-Forné, José A. Font
Deep-learning methods are becoming increasingly important in gravitational-wave data analysis, yet their performance often relies on large training datasets and models whose intern…
astro-ph.IM2018★ 24 cited
Classification of gravitational-wave glitches via dictionary learning
Miquel Llorens-Monteagudo, Alejandro Torres-Forné, José A. Font +1
We present a new method for the classification of transient noise signals (or glitches) in advanced gravitational-wave interferometers. The method uses learned dictionaries (a supe…