Real-time gravitational-wave science with neural posterior estimation

23 June 2021

Jakob H. Macke

Papers citing "Real-time gravitational-wave science with neural posterior estimation"

45 / 45 papers shown

Title
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas K. Garg 68 0 0 03 Mar 2025
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 109 9 0 31 Dec 2024
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 45 1 0 05 Nov 2024
Full-waveform earthquake source inversion using simulation-based inference A. A. Saoulis Davide Piras A. Spurio Mancini B. Joachimi A. M. G. Ferreira 40 0 0 30 Oct 2024
Flow Matching for Posterior Inference with Simulator Feedback Benjamin Holzschuh Nils Thuerey 35 0 0 29 Oct 2024
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
Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware Deep Chatterjee Ethan Marx W. Benoit Ravi Kumar Malina Desai ... M. Saleem Shrey Aggarwal Michael W. Coughlin Philip C. Harris E. Katsavounidis 38 0 0 26 Jul 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
Preconditioned Neural Posterior Estimation for Likelihood-free Inference Xiaoyu Wang Ryan P. Kelly D. Warne Christopher C. Drovandi 37 4 0 21 Apr 2024
All-in-one simulation-based inference Manuel Gloeckler Michael Deistler Christian Weilbach Frank D. Wood Jakob H. Macke 34 26 0 15 Apr 2024
Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings D. Chatterjee Philip C. Harris Maanas Goel Malina Desai Michael W. Coughlin E. Katsavounidis 31 1 0 11 Dec 2023
Stellar Spectra Fitting with Amortized Neural Posterior Estimation and nbi Keming 名 Zhang 张可 Tharindu Jayasinghe Joshua S. Bloom 18 1 0 09 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
Simulation-based stacking Yuling Yao Bruno Régaldo-Saint Blancard Justin Domke 33 4 0 25 Oct 2023
Hyperparameter optimization of hp-greedy reduced basis for gravitational wave surrogates F. Cerino J. A. D. Pace Emmanuel A. Tassone M. Tiglio Atuel Villegas 16 0 0 23 Oct 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
Simulation-based Inference with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller Marco Federici Christoph Weniger Patrick Forré 34 4 0 03 Oct 2023
Simulation-based inference using surjective sequential neural likelihood estimation Simon Dirmeier Carlo Albert Fernando Perez-Cruz 28 6 0 02 Aug 2023
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference J. Linhart Alexandre Gramfort Pedro L. C. Rodrigues 30 6 0 06 Jun 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
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
Adversarial robustness of amortized Bayesian inference Manuel Glöckler Michael Deistler Jakob H. Macke AAML 27 13 0 24 May 2023
Discriminative calibration: Check Bayesian computation from simulations and flexible classifier Yuling Yao Justin Domke UQLM 22 2 0 24 May 2023
AI for Science: An Emerging Agenda Philipp Berens Kyle Cranmer Neil D. Lawrence U. V. Luxburg Jessica Montgomery 35 4 0 07 Mar 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 40 30 0 06 Feb 2023
Topological Learning in Multi-Class Data Sets Christopher H. Griffin Trevor K. Karn Benjamin Apple AI4CE 22 0 0 23 Jan 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
Uncertain Evidence in Probabilistic Models and Stochastic Simulators Andreas Munk A. Mead Frank D. Wood 17 2 0 21 Oct 2022
Machine-Learning Love: classifying the equation of state of neutron stars with Transformers Gonçalo Gonçalves Márcio Ferreira João Aveiro António Onofre F. F. Freitas C. Providência J. Font 24 5 0 15 Oct 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 27 55 0 11 Oct 2022
Truncated proposals for scalable and hassle-free simulation-based inference Michael Deistler P. J. Gonçalves Jakob H Macke 32 48 0 10 Oct 2022
DeepSNR: A deep learning foundation for offline gravitational wave detection Michael Andrews M. Paulini Luke Sellers Alexey Bobrick Gianni Martire Haydn Vestal OffRL 16 6 0 11 Jul 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 30 45 0 01 Apr 2022
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 29 12 0 15 Mar 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 13 29 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 21 6 0 13 Dec 2021
Group equivariant neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Michael Deistler Bernhard Schölkopf Jakob H. Macke BDL 33 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 36 40 0 15 Nov 2021
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling Ivan Ezhov Kevin Scibilia Katharina Franitza Felix Steinbauer Suprosanna Shit ... Diana Waldmannstetter M. Menten M. Metz Benedikt Wiestler Bjoern H. Menze 52 26 0 07 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 16 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 26 11 0 13 Oct 2021
Truncated Marginal Neural Ratio Estimation Benjamin Kurt Miller A. Cole Patrick Forré Gilles Louppe Christoph Weniger 39 37 0 02 Jul 2021