Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation

20 May 2016

Papers citing "Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation"

27 / 27 papers shown

Title
Multifidelity Simulation-based Inference for Computationally Expensive Simulators Anastasia N. Krouglova Hayden R. Johnson Basile Confavreux Michael Deistler P. J. Gonçalves 71 1 0 17 Feb 2025
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 20 10 0 31 Jan 2023
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks Tri Nguyen S. Mishra-Sharma R. Williams L. Necib 13 2 0 26 Aug 2022
An Optimal Likelihood Free Method for Biological Model Selection Vincent D. Zaballa E. Hui 16 0 0 03 Aug 2022
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport Ricardo Baptista Lianghao Cao Joshua Chen Omar Ghattas Fengyi Li Youssef M. Marzouk J. Oden 16 11 0 22 Jun 2022
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization Lorenzo Pacchiardi Ritabrata Dutta TPM BDL UQCV GAN 13 18 0 31 May 2022
On predictive inference for intractable models via approximate Bayesian computation Marko Jarvenpaa J. Corander TPM 25 2 0 23 Mar 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 18 42 0 09 Feb 2022
Unifying Likelihood-free Inference with Black-box Optimization and Beyond Dinghuai Zhang Jie Fu Yoshua Bengio Aaron Courville 29 13 0 06 Oct 2021
Simulation-based Bayesian inference for multi-fingered robotic grasping Norman Marlier O. Bruls Gilles Louppe 24 6 0 29 Sep 2021
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden Chris Denniston David Millard Fabio Ramos Gaurav Sukhatme 20 21 0 18 Sep 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models Louis Rouillard Demian Wassermann 22 2 0 23 Jun 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator G. Bellec Shuqi Wang Alireza Modirshanechi Johanni Brea W. Gerstner 26 11 0 18 Jun 2021
Sequential Neural Posterior and Likelihood Approximation Samuel Wiqvist J. Frellsen Umberto Picchini BDL 20 33 0 12 Feb 2021
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 11 40 0 15 Jun 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation Steven Kleinegesse Michael U. Gutmann 16 64 0 19 Feb 2020
Bayesian epidemiological modeling over high-resolution network data Stefan Engblom Robin Eriksson S. Widgren 23 15 0 25 Oct 2019
Inference of a mesoscopic population model from population spike trains M. Slawski A. Longtin E. Ben-David 11 12 0 03 Oct 2019
Effective LHC measurements with matrix elements and machine learning Johann Brehmer Kyle Cranmer Irina Espejo F. Kling Gilles Louppe J. Pavez 12 14 0 04 Jun 2019
Robust Optimisation Monte Carlo Borislav Ikonomov Michael U. Gutmann 9 8 0 01 Apr 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 33 358 0 18 May 2018
ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations Rafael Izbicki Ann B. Lee T. Pospisil 16 34 0 14 May 2018
Flexible statistical inference for mechanistic models of neural dynamics Jan-Matthis Lueckmann P. J. Gonçalves Giacomo Bassetto Kaan Öcal M. Nonnenmacher Jakob H. Macke 16 240 0 06 Nov 2017
Delayed acceptance ABC-SMC R. Everitt Paulina A. Rowińska 32 15 0 07 Aug 2017
Model Misspecification in ABC: Consequences and Diagnostics David T. Frazier Christian P. Robert Judith Rousseau 24 27 0 07 Aug 2017
An automatic adaptive method to combine summary statistics in approximate Bayesian computation Jonathan U. Harrison R. Baker 17 17 0 07 Mar 2017
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning T. Le A. G. Baydin R. Zinkov Frank D. Wood SyDa OOD 16 89 0 02 Mar 2017

Fast εεε-free Inference of Simulation Models with Bayesian Conditional Density Estimation

Papers citing "Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation"

Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation