Citing Articles For: Identifying and mitigating machine-learning biases for the gravitational-wave detection problem

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Identifying and mitigating machine-learning biases for the gravitational-wave detection problem

Searching for binary black hole mergers with deep learning in Advanced LIGO’s third observing run

Hybrid algorithm combining matched filtering and convolutional neural networks for searching gravitational waves from binary black hole mergers

Likelihood-free inference for gravitational-wave data analysis and public alerts

Sample-efficient non-Gaussian noise reduction in gravitational wave data via learnable wavelets

Long short-term memory for early warning detection of gravitational waves

Transformer networks for continuous gravitational-wave searches

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