Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models

10 October 2022

Papers citing "Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models"

29 / 29 papers shown

Title
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter Manuel Gloeckler Daniel Gedon Jakob H Macke 41 0 0 24 Apr 2025
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation Youwei Yu Lantao Liu 35 0 0 11 Apr 2025
PaperBench: Evaluating AI's Ability to Replicate AI Research Giulio Starace Oliver Jaffe Dane Sherburn James Aung Jun Shern Chan ... Benjamin Kinsella Wyatt Thompson Johannes Heidecke Amelia Glaese Tejal Patwardhan ALM ELM 796 6 0 02 Apr 2025
Diffusion Models for Inverse Problems in the Exponential Family Alessandro Micheli Mélodie Monod Samir Bhatt 63 0 0 09 Feb 2025
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation Yifei Xiong Xiliang Yang Sanguo Zhang Zhijian He 116 2 0 17 Jan 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 82 4 0 26 Nov 2024
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 45 1 0 05 Nov 2024
Flow Matching for Posterior Inference with Simulator Feedback Benjamin Holzschuh Nils Thuerey 35 0 0 29 Oct 2024
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Burkner 54 3 0 23 Aug 2024
All-in-one simulation-based inference Manuel Gloeckler Michael Deistler Christian Weilbach Frank D. Wood Jakob H. Macke 34 26 0 15 Apr 2024
Diffusion posterior sampling for simulation-based inference in tall data settings J. Linhart Gabriel Victorino Cardoso Alexandre Gramfort Sylvain Le Corff Pedro L. C. Rodrigues DiffM 40 3 0 11 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 38 10 0 05 Apr 2024
Consistency Models for Scalable and Fast Simulation-Based Inference Marvin Schmitt Valentin Pratz Ullrich Kothe Paul-Christian Burkner Stefan T. Radev 24 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 49 5 0 17 Nov 2023
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability Maciej Falkiewicz Naoya Takeishi Imahn Shekhzadeh Antoine Wehenkel Arnaud Delaunoy Gilles Louppe Alexandros Kalousis 21 6 0 20 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 30 5 0 06 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
Diffusion Schrödinger Bridges for Bayesian Computation J. Heng Valentin De Bortoli Arnaud Doucet DiffM 25 3 0 27 Aug 2023
Simulation-based inference using surjective sequential neural likelihood estimation Simon Dirmeier Carlo Albert F. Pérez-Cruz 21 6 0 02 Aug 2023
Approximate Stein Classes for Truncated Density Estimation Daniel J. Williams Song Liu 11 0 0 01 Jun 2023
Flow Matching for Scalable Simulation-Based Inference Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 19 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
Balancing Simulation-based Inference for Conservative Posteriors Arnaud Delaunoy Benjamin Kurt Miller Patrick Forré Christoph Weniger Gilles Louppe 33 9 0 21 Apr 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 25 10 0 31 Jan 2023
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 64 24 0 28 Sep 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 222 164 0 06 Feb 2022
A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful Joeri Hermans Arnaud Delaunoy François Rozet Antoine Wehenkel Volodimir Begy Gilles Louppe 64 38 0 13 Oct 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 101 184 0 12 Jan 2021
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016