Scikit-Learn
- Revisiting the evidence for precession in GW200129 with machine learning noise mitigation —
- Quasi-physical model for removing short glitches from LIGO and Virgo data —
- A sensitive test of non-Gaussianity in gravitational-wave detector data —
- Non-linear noise subtraction
Broadband noise modeling with dense neural networks. - Probabilistic noise estimation
Measuring the amount of non-Gaussian noise in the data. - Antiglitch
Probabilistic modeling of glitches in gravitational-wave data. - Fast glitch modeling
Modeling gravitational-wave glitches with autoencoders.