Showing 1–16 of 16 results
/ Date/ Name
Jul 28, 2014Bayesian parameter estimation of core collapse supernovae using gravitational wave simulationsSep 15, 2020Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep LearningSep 22, 2024Evaluating Machine Learning Models for Supernova Gravitational Wave Signal ClassificationOct 10, 2023Calibrating approximate Bayesian credible intervals of gravitational-wave parametersNov 11, 2025Probing Supernovae through gravitational wave entropySep 22, 2020Computational Techniques for Parameter Estimation of Gravitational Wave SignalsOct 12, 2020Constraining the spin parameter of near-extremal black holes using LISAOct 8, 2024A novel stacked hybrid autoencoder for imputing LISA data gapsAug 6, 2024Generative adversarial network for stellar core-collapse gravitational wavesDec 18, 2025First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspiralsJan 17, 2017Beyond Whittle: Nonparametric correction of a parametric likelihood with a focus on Bayesian time series analysisDec 20, 2025Robust and scalable simulation-based inference for gravitational wave signals with gapsJul 16, 2017Bayesian nonparametric spectral density estimation using B-spline priorsApr 16, 2020Identifying and Addressing Nonstationary LISA NoiseMay 31, 2015Bayesian semiparametric power spectral density estimation with applications in gravitational wave data analysisOct 16, 2025Assessing the Distance for Probing the Nuclear Equation of State with Supernova Gravitational Waves