Lightning-Fast Gravitational Wave Parameter Inference through Neural
Amortization

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Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization

24 October 2020

Arnaud Delaunoy

Antoine Wehenkel

Christoph Weniger

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Papers citing "Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization"

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Title
Simulation-based Inference for Cardiovascular Models Antoine Wehenkel Laura Manduchi Jens Behrmann Guillermo Sapiro Andrew C. Miller Marco Cuturi Ozan Sener Marco Cuturi J. Jacobsen 205 9 0 31 Dec 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
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration Antoine Wehenkel Juan L. Gamella Ozan Sener Jens Behrmann Guillermo Sapiro Marco Cuturi J. Jacobsen UQLM 139 11 0 14 May 2024
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation Simon Dirmeier Carlo Albert Fernando Perez-Cruz 134 7 0 02 Aug 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
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
Fast and robust Bayesian Inference using Gaussian Processes with GPry Jonas El Gammal Nils Schöneberg J. Torrado C. Fidler GP 99 16 0 03 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
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks Jingkai Yan R. Colgan John N. Wright Z. Márka I. Bartos S. Márka 74 3 0 23 Jul 2022
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
Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation A. Cole Benjamin Kurt Miller S. Witte Maxwell X. Cai M. Grootes F. Nattino Christoph Weniger 69 42 0 15 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
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