Neural Importance Sampling for Rapid and Reliable Gravitational-Wave
Inference

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

11 October 2022

Stephen R. Green

Jakob H. Macke

Bernhard Schölkopf

Papers citing "Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference"

15 / 15 papers shown

Title
Discriminative versus Generative Approaches to Simulation-based Inference Benjamin Sluijter S. Diefenbacher W. Bhimji Benjamin Nachman 51 0 0 11 Mar 2025
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 31 1 0 28 Oct 2024
Cost-aware Simulation-based Inference Ayush Bharti Daolang Huang Samuel Kaski F. Briol 36 1 0 10 Oct 2024
Amortized Bayesian Workflow (Extended Abstract) Marvin Schmitt Chengkun Li Aki Vehtari Luigi Acerbi Paul-Christian Bürkner Stefan T. Radev 23 2 0 06 Sep 2024
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation V. Starostin Maximilian Dax A. Gerlach A. Hinderhofer Álvaro Tejero-Cantero Frank Schreiber 24 0 0 26 Jul 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 21 9 0 12 Jul 2024
Diffusion posterior sampling for simulation-based inference in tall data settings J. Linhart Gabriel Victorino Cardoso Alexandre Gramfort Sylvain Le Corff Pedro L. C. Rodrigues DiffM 53 3 0 11 Apr 2024
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling Timothy D. Gebhard J. Wildberger Maximilian Dax Daniel Angerhausen S. Quanz Bernhard Schölkopf 16 6 0 13 Dec 2023
Consistency Models for Scalable and Fast Simulation-Based Inference Marvin Schmitt Valentin Pratz Ullrich Kothe Paul-Christian Bürkner Stefan T. Radev 29 9 0 09 Dec 2023
nbi: the Astronomer's Package for Neural Posterior Estimation Keming 名 Zhang 张可 Joshua S. Bloom Stéfan van der Walt N. Hernitschek 19 3 0 06 Dec 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 23 7 0 17 Oct 2023
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference Marvin Schmitt Desi R. Ivanova Daniel Habermann Baixu Chen Jie Jiang Stefan T. Radev FedML 35 5 0 06 Oct 2023
Flow Matching for Scalable Simulation-Based Inference Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 29 48 0 26 May 2023
Adversarial robustness of amortized Bayesian inference Manuel Glöckler Michael Deistler Jakob H. Macke AAML 27 13 0 24 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 21 9 0 16 Nov 2022