Neural Empirical Bayes: Source Distribution Estimation and its
Applications to Simulation-Based Inference

Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference

11 November 2020

Antoine Wehenkel

Papers citing "Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference"

15 / 15 papers shown

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 106 9 0 31 Dec 2024
Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers Laura Manduchi Antoine Wehenkel Jens Behrmann Luca Pegolotti Andy C. Miller Ozan Sener Marco Cuturi Guillermo Sapiro J. Jacobsen OOD 50 1 0 23 Dec 2024
Generative Unfolding with Distribution Mapping A. Butter S. Diefenbacher Nathan Huetsch Vinicius Mikuni Benjamin Nachman Sofia Palacios Schweitzer Tilman Plehn DiffM 41 1 0 04 Nov 2024
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 31 0 0 18 Oct 2024
Neural-g: A Deep Learning Framework for Mixing Density Estimation Shijie Wang Saptarshi Chakraborty Qian Qin Ray Bai BDL 33 0 0 10 Jun 2024
Learning Diffusion Priors from Observations by Expectation Maximization François Rozet Gérome Andry F. Lanusse Gilles Louppe DiffM 45 15 0 22 May 2024
The Landscape of Unfolding with Machine Learning Nathan Huetsch Javier Marino Villadamigo Alexander Shmakov S. Diefenbacher Vinicius Mikuni ... Kevin Greif Benjamin Nachman D. Whiteson A. Butter Tilman Plehn 40 17 0 29 Apr 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 42 3 0 29 Apr 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation Julius Vetter Guy Moss Cornelius Schroder Richard Gao Jakob H. Macke 37 3 0 12 Feb 2024
Designing Observables for Measurements with Deep Learning Owen Long Benjamin Nachman OOD 13 1 0 12 Oct 2023
Discriminative calibration: Check Bayesian computation from simulations and flexible classifier Yuling Yao Justin Domke UQLM 22 2 0 24 May 2023
Unbinned Profiled Unfolding Jay Chan Benjamin Nachman 16 7 0 10 Feb 2023
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study David Ruhe Kaze W. K. Wong M. Cranmer Patrick Forré 16 6 0 15 Nov 2022
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation Andreas Adelmann W. Hopkins E. Kourlitis Michael Kagan Gregor Kasieczka ... David Shih Vinicius Mikuni Benjamin Nachman K. Pedro D. Winklehner 21 29 0 15 Mar 2022
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 24 176 0 02 Feb 2021