Sequential Neural Posterior and Likelihood Approximation

12 February 2021

Papers citing "Sequential Neural Posterior and Likelihood Approximation"

23 / 23 papers shown

Title
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology Henrik Häggström Sebastian Persson Marija Cvijovic Umberto Picchini 24 0 0 15 Apr 2025
sbi reloaded: a toolkit for simulation-based inference workflows Jan Boelts Michael Deistler Manuel Gloeckler Álvaro Tejero-Cantero Jan-Matthis Lueckmann ... Jonas Beck J. Kapoor David S. Greenberg P. J. Gonçalves Jakob H Macke 80 4 0 26 Nov 2024
Variational Autoencoders for Efficient Simulation-Based Inference Mayank Nautiyal Andrey Shternshis A. Hellander Prashant Singh 64 0 0 21 Nov 2024
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 35 6 0 05 Jun 2024
Consistency Models for Scalable and Fast Simulation-Based Inference Marvin Schmitt Valentin Pratz Ullrich Kothe Paul-Christian Burkner Stefan T. Radev 19 9 0 09 Dec 2023
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference Marvin Schmitt Stefan T. Radev Paul-Christian Burkner 40 5 0 17 Nov 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 15 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 22 5 0 06 Oct 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 23 14 0 04 Oct 2023
Simulation-based inference using surjective sequential neural likelihood estimation Simon Dirmeier Carlo Albert F. Pérez-Cruz 16 6 0 02 Aug 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
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao Michael Deistler Jakob H. Macke 22 11 0 24 May 2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models Stefan T. Radev Marvin Schmitt Valentin Pratz Umberto Picchini Ullrich Kothe Paul-Christian Burkner BDL 22 29 0 17 Feb 2023
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
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 36 12 0 27 Jan 2023
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 48 33 0 10 Oct 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 60 24 0 28 Sep 2022
An Optimal Likelihood Free Method for Biological Model Selection Vincent D. Zaballa E. Hui 16 0 0 03 Aug 2022
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localisation Christopher C. Drovandi David J. Nott David T. Frazier 61 5 0 14 Jul 2022
Guided sequential ABC schemes for intractable Bayesian models Umberto Picchini M. Tamborrino 45 8 0 24 Jun 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 19 46 0 08 Mar 2022
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 22 34 0 16 Dec 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