Group equivariant neural posterior estimation

Group equivariant neural posterior estimation

25 November 2021

Stephen R. Green

Michael Deistler

Bernhard Schölkopf

Jakob H. Macke

Papers citing "Group equivariant neural posterior estimation"

16 / 16 papers shown

Title
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter Manuel Gloeckler Daniel Gedon Jakob H Macke 36 0 0 24 Apr 2025
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 19 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 19 9 0 12 Jul 2024
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference J. Linhart Alexandre Gramfort Pedro L. C. Rodrigues 14 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 16 48 0 26 May 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 38 30 0 25 May 2023
Simultaneous identification of models and parameters of scientific simulators Cornelius Schroder Jakob H. Macke 27 4 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 11 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 14 55 0 11 Oct 2022
Truncated proposals for scalable and hassle-free simulation-based inference Michael Deistler P. J. Gonçalves Jakob H Macke 16 48 0 10 Oct 2022
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 11 27 0 11 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 8 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 17 5 0 13 Dec 2021
Real-time gravitational-wave science with neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Jakob H. Macke A. Buonanno Bernhard Schölkopf 13 130 0 23 Jun 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 96 184 0 12 Jan 2021
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 65 389 0 20 Oct 2016