Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

18 May 2018

Papers citing "Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows"

50 / 202 papers shown

Title
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers Guy Moss V. Višnjević Olaf Eisen Falk M. Oraschewski Cornelius Schroder Jakob H. Macke R. Drews 6 1 0 03 Dec 2023
Pseudo-Likelihood Inference Theo Gruner Boris Belousov Fabio Muratore Daniel Palenicek Jan Peters 21 0 0 28 Nov 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
Direct Amortized Likelihood Ratio Estimation Adam D. Cobb Brian Matejek Daniel Elenius Anirban Roy Susmit Jha 11 2 0 17 Nov 2023
Optimal simulation-based Bayesian decisions Justin Alsing Thomas D. P. Edwards Benjamin Dan Wandelt 15 2 0 09 Nov 2023
Conditional Optimal Transport on Function Spaces Bamdad Hosseini Alexander W. Hsu Amirhossein Taghvaei OT 28 14 0 09 Nov 2023
Simulation-based stacking Yuling Yao Bruno Régaldo-Saint Blancard Justin Domke 17 4 0 25 Oct 2023
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability Maciej Falkiewicz Naoya Takeishi Imahn Shekhzadeh Antoine Wehenkel Arnaud Delaunoy Gilles Louppe Alexandros Kalousis 19 6 0 20 Oct 2023
Neural Likelihood Approximation for Integer Valued Time Series Data Luke O'Loughlin John Maclean Andrew Black AI4TS 11 0 0 19 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
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs T. Lucas Makinen Justin Alsing Benjamin Dan Wandelt GNN FedML 10 3 0 05 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 with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller Marco Federici Christoph Weniger Patrick Forré 21 4 0 03 Oct 2023
An Extendable Python Implementation of Robust Optimisation Monte Carlo Vasilis Gkolemis Michael U. Gutmann Henri Pesonen 11 1 0 19 Sep 2023
A transport approach to sequential simulation-based inference Paul-Baptiste Rubio Youssef Marzouk M. Parno 8 1 0 26 Aug 2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing P. R. Gerber Tianze Jiang Yury Polyanskiy Rui Sun VLM 11 2 0 17 Aug 2023
Simulation-based inference using surjective sequential neural likelihood estimation Simon Dirmeier Carlo Albert F. Pérez-Cruz 13 6 0 02 Aug 2023
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis Guoxiang Grayson Tong Carlos A. Sing Long Daniele E. Schiavazzi 23 7 0 24 Jul 2023
BayesFlow: Amortized Bayesian Workflows With Neural Networks Stefan T. Radev Marvin Schmitt Lukas Schumacher Lasse Elsemüller Valentin Pratz Yannik Schalte Ullrich Kothe Paul-Christian Burkner BDL 11 28 0 28 Jun 2023
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference Vincent D. Zaballa E. Hui 15 2 0 27 Jun 2023
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference J. Linhart Alexandre Gramfort Pedro L. C. Rodrigues 14 6 0 06 Jun 2023
Flow Matching for Scalable Simulation-Based Inference Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 16 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
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao Michael Deistler Jakob H. Macke 22 11 0 24 May 2023
Adversarial robustness of amortized Bayesian inference Manuel Glöckler Michael Deistler Jakob H. Macke AAML 19 13 0 24 May 2023
Amortized Variational Inference with Coverage Guarantees Yash P. Patel Declan McNamara J. Loper Jeffrey Regier Ambuj Tewari BDL 21 0 0 23 May 2023
Generalised likelihood profiles for models with intractable likelihoods D. Warne Oliver J. Maclaren E. Carr Matthew J. Simpson Christopher C. Drovandi 22 8 0 18 May 2023
Bayesian Synthetic Likelihood David T. Frazier Christopher C. Drovandi David J. Nott 25 216 0 09 May 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning Maohao Shen S. Ghosh P. Sattigeri Subhro Das Yuheng Bu G. Wornell VLM 44 10 0 30 Apr 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
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware Jakob Kaiser Raphael Stock Eric Müller Johannes Schemmel Sebastian Schmitt 6 3 0 28 Mar 2023
Towards black-box parameter estimation Amanda Lenzi Haavard Rue 27 4 0 27 Mar 2023
Simulation-based Bayesian inference for robotic grasping Norman Marlier O. Bruls Gilles Louppe 16 4 0 10 Mar 2023
Online simulator-based experimental design for cognitive model selection Alexander Aushev Aini Putkonen Grégoire Clarté Suyog H. Chandramouli Luigi Acerbi Samuel Kaski Andrew Howes 22 2 0 03 Mar 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
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 27 30 0 06 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
Bayesian score calibration for approximate models Joshua J. Bon D. Warne David J. Nott Christopher C. Drovandi 13 3 0 10 Nov 2022
From Denoising Diffusions to Denoising Markov Models Joe Benton Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 66 25 0 07 Nov 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification Ruoxi Jiang Rebecca Willett 12 6 0 03 Nov 2022
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
Uncertain Evidence in Probabilistic Models and Stochastic Simulators Andreas Munk A. Mead Frank D. Wood 12 2 0 21 Oct 2022
Efficient identification of informative features in simulation-based inference Jonas Beck Michael Deistler Yves Bernaerts Jakob Macke Philipp Berens 9 3 0 21 Oct 2022
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference R. Khabibullin S. Seleznev 20 1 0 13 Oct 2022
Robust Neural Posterior Estimation and Statistical Model Criticism Daniel Ward Patrick W Cannon Mark Beaumont Matteo Fasiolo Sebastian M. Schmon 14 36 0 12 Oct 2022
Contrastive Neural Ratio Estimation for Simulation-based Inference Benjamin Kurt Miller Christoph Weniger Patrick Forré 11 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 13 48 0 10 Oct 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 60 24 0 28 Sep 2022
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference Patrick W Cannon Daniel Ward Sebastian M. Schmon 6 34 0 05 Sep 2022