Complete parameter inference for GW150914 using deep learning

7 August 2020

Papers citing "Complete parameter inference for GW150914 using deep learning"

21 / 21 papers shown

Title
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows Alicja Polanska Thibeau Wouters Peter T. H. Pang Kaze K. W. Wong Jason D. McEwen 97 1 0 28 Oct 2024
Real-time gravitational-wave inference for binary neutron stars using machine learning Maximilian Dax Stephen R. Green J. Gair N. Gupte M. Purrer Vivien Raymond J. Wildberger Jakob H. Macke A. Buonanno Bernhard Scholkopf 98 14 0 12 Jul 2024
Hyperparameter optimization of hp-greedy reduced basis for gravitational wave surrogates F. Cerino J. A. D. Pace Emmanuel A. Tassone M. Tiglio Atuel Villegas 47 0 0 23 Oct 2023
Flow Matching for Scalable Simulation-Based Inference Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 89 60 0 26 May 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 118 35 0 25 May 2023
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests A. Coccaro Marco Letizia H. Reyes-González Riccardo Torre OOD 101 6 0 23 Feb 2023
Adapting to noise distribution shifts in flow-based gravitational-wave inference J. Wildberger Maximilian Dax Stephen R. Green J. Gair M. Purrer Jakob H. Macke A. Buonanno Bernhard Schölkopf AI4CE 94 9 0 16 Nov 2022
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference Maximilian Dax Stephen R. Green J. Gair M. Purrer J. Wildberger Jakob H. Macke A. Buonanno Bernhard Schölkopf BDL 102 58 0 11 Oct 2022
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference Patrick W Cannon Daniel Ward Sebastian M. Schmon 78 36 0 05 Sep 2022
Rediscovering orbital mechanics with machine learning Pablo Lemos N. Jeffrey M. Cranmer S. Ho Peter W. Battaglia PINN AI4CE 84 92 0 04 Feb 2022
Inference-optimized AI and high performance computing for gravitational wave detection at scale Pranshu Chaturvedi Asad Khan Minyang Tian Eliu A. Huerta Huihuo Zheng 72 28 0 26 Jan 2022
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers Asad Khan E. A. H. abd Prayush Kumar 67 5 0 13 Dec 2021
Group equivariant neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Michael Deistler Bernhard Schölkopf Jakob H. Macke BDL 104 31 0 25 Nov 2021
Swift sky localization of gravitational waves using deep learning seeded importance sampling A. Kolmus G. Baltus J. Janquart Twan van Laarhoven S. Caudill Tom Heskes BDL 77 8 0 01 Nov 2021
Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers Asad Khan Eliu A. Huerta Huihuo Zheng 101 10 0 13 Oct 2021
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference François Rozet Gilles Louppe 100 6 0 01 Oct 2021
Real-time gravitational-wave science with neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Jakob H. Macke A. Buonanno Bernhard Schölkopf 85 135 0 23 Jun 2021
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 100 83 0 17 Jun 2021
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources Eliu A. Huerta Zhizhen Zhao 106 21 0 13 May 2021
Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization Arnaud Delaunoy Antoine Wehenkel T. Hinderer S. Nissanke Christoph Weniger A. Williamson Gilles Louppe 109 30 0 24 Oct 2020
Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning M. Edwards 63 13 0 15 Sep 2020