Variational methods for simulation-based inference

8 March 2022

Jakob H. Macke

Papers citing "Variational methods for simulation-based inference"

32 / 32 papers shown

Title
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter Manuel Gloeckler Daniel Gedon Jakob H Macke 39 0 0 24 Apr 2025
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation Yifei Xiong Xiliang Yang Sanguo Zhang Zhijian He 108 2 0 17 Jan 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 96 9 0 31 Dec 2024
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
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 37 1 0 05 Nov 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 43 0 0 22 Jul 2024
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration Antoine Wehenkel Juan L. Gamella Ozan Sener Jens Behrmann Guillermo Sapiro Marco Cuturi J. Jacobsen UQLM 54 8 0 14 May 2024
All-in-one simulation-based inference Manuel Gloeckler Michael Deistler Christian Weilbach Frank D. Wood Jakob H. Macke 31 26 0 15 Apr 2024
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 28 14 0 04 Oct 2023
Simulation-based Inference with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller Marco Federici Christoph Weniger Patrick Forré 24 4 0 03 Oct 2023
Simulation-based inference using surjective sequential neural likelihood estimation Simon Dirmeier Carlo Albert F. Pérez-Cruz 19 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
Balancing Simulation-based Inference for Conservative Posteriors Arnaud Delaunoy Benjamin Kurt Miller Patrick Forré Christoph Weniger Gilles Louppe 33 9 0 21 Apr 2023
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks B. Afkham Julianne Chung Matthias Chung 24 1 0 17 Apr 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 27 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
Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference Pierre Glaser Michael Arbel Samo Hromadka Arnaud Doucet A. Gretton 20 2 0 26 Oct 2022
Efficient identification of informative features in simulation-based inference Jonas Beck Michael Deistler Yves Bernaerts Jakob Macke Philipp Berens 11 3 0 21 Oct 2022
Contrastive Neural Ratio Estimation for Simulation-based Inference Benjamin Kurt Miller Christoph Weniger Patrick Forré 17 15 0 11 Oct 2022
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
Truncated proposals for scalable and hassle-free simulation-based inference Michael Deistler P. J. Gonçalves Jakob H Macke 22 48 0 10 Oct 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 60 24 0 28 Sep 2022
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation Arnaud Delaunoy Joeri Hermans François Rozet Antoine Wehenkel Gilles Louppe 24 30 0 29 Aug 2022
An Optimal Likelihood Free Method for Biological Model Selection Vincent D. Zaballa E. Hui 19 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
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