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
ConDiSim: Conditional Diffusion Models for Simulation Based Inference Mayank Nautiyal A. Hellander Prashant Singh DiffM 13 0 0 13 May 2025
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter Manuel Gloeckler Daniel Gedon Jakob H Macke 36 0 0 24 Apr 2025
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
A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation Zehao Li Yijie Peng 40 0 0 24 Mar 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas K. Garg 63 0 0 03 Mar 2025
Conditional sampling within generative diffusion models Zheng Zhao Ziwei Luo Jens Sjölund Thomas B. Schon DiffM VLM 73 3 0 20 Feb 2025
Misspecification-robust likelihood-free inference in high dimensions Owen Thomas Raquel Sá-Leao H. Lencastre Samuel Kaski J. Corander Henri Pesonen 66 9 0 17 Feb 2025
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
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
Globally Convergent Variational Inference Declan McNamara J. Loper Jeffrey Regier 53 0 0 14 Jan 2025
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference Sam Griesemer Defu Cao Zijun Cui Carolina Osorio Y. Liu 62 2 0 07 Dec 2024
Distribution-Free Calibration of Statistical Confidence Sets Luben M. C. Cabezas Guilherme P. Soares Thiago Rodrigo Ramos R. Stern Rafael Izbicki 56 1 0 28 Nov 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 69 4 0 26 Nov 2024
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 34 1 0 05 Nov 2024
Full-waveform earthquake source inversion using simulation-based inference A. A. Saoulis Davide Piras A. Spurio Mancini B. Joachimi A. M. G. Ferreira 35 0 0 30 Oct 2024
Flow Matching for Posterior Inference with Simulator Feedback Benjamin Holzschuh Nils Thuerey 20 0 0 29 Oct 2024
Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage Wenchao Teng Louis J. Durlofsky 16 0 0 20 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 41 4 0 20 Oct 2024
Deep Optimal Sensor Placement for Black Box Stochastic Simulations Paula Cordero-Encinar Tobias Schröder P. Yatsyshin Andrew Duncan 45 0 0 15 Oct 2024
Simulation-based inference with scattering representations: scattering is all you need Kiyam Lin Benjamin Joachimi Jason D. McEwen 21 1 0 11 Oct 2024
Cost-aware Simulation-based Inference Ayush Bharti Daolang Huang Samuel Kaski F. Briol 28 1 0 10 Oct 2024
A Comprehensive Guide to Simulation-based Inference in Computational Biology Xiaoyu Wang Ryan P. Kelly A. Jenner D. Warne Christopher C. Drovandi 23 3 0 29 Sep 2024
Simulation-based inference with the Python Package sbijax Simon Dirmeier S. Ulzega Antonietta Mira Carlo Albert 21 1 0 28 Sep 2024
Embed and Emulate: Contrastive representations for simulation-based inference Ruoxi Jiang Peter Y. Lu Rebecca Willett 24 0 0 27 Sep 2024
Generative Bayesian Computation for Maximum Expected Utility Nick Polson Fabrizio Ruggeri Vadim O. Sokolov 14 1 0 28 Aug 2024
Low-Budget Simulation-Based Inference with Bayesian Neural Networks Arnaud Delaunoy Maxence de la Brassinne Bonardeaux S. Mishra-Sharma Gilles Louppe 33 2 0 27 Aug 2024
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design Atlanta Chakraborty Xun Huan Tommie A. Catanach 21 3 0 18 Aug 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 32 0 0 22 Jul 2024
Dimension-reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference Problems Rui Zhang O. Chkrebtii Dongbin Xiu 18 0 0 19 Jul 2024
Flexible Tails for Normalizing Flows Tennessee Hickling Dennis Prangle 16 0 0 22 Jun 2024
Deep Optimal Experimental Design for Parameter Estimation Problems Md Shahriar Rahim Siddiqui Arman Rahmim Eldad Haber 21 1 0 20 Jun 2024
Quasi-Bayes meets Vines David Huk Yuanhe Zhang Mark Steel Ritabrata Dutta 32 1 0 18 Jun 2024
Generative vs. Discriminative modeling under the lens of uncertainty quantification Elouan Argouarc'h François Desbouvries Eric Barat Eiji Kawasaki UQCV 20 1 0 13 Jun 2024
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 30 6 0 05 Jun 2024
Is machine learning good or bad for the natural sciences? David W. Hogg Soledad Villar AI4CE 31 7 0 28 May 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 51 8 0 14 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 43 0 0 10 May 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs Sanmitra Ghosh Paul J. Birrell Daniela De Angelis 40 1 0 02 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 31 3 0 29 Apr 2024
All-in-one simulation-based inference Manuel Gloeckler Michael Deistler Christian Weilbach Frank D. Wood Jakob H. Macke 29 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 32 3 0 11 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 33 10 0 05 Apr 2024
Copula Approximate Bayesian Computation Using Distribution Random Forests G. Karabatsos 32 1 0 28 Feb 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation Julius Vetter Guy Moss Cornelius Schroder Richard Gao Jakob H. Macke 37 3 0 12 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 19 3 0 06 Feb 2024
Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods Xiliang Yang Yifei Xiong Zhijian He 16 0 0 30 Jan 2024
Simulation-Based Inference with Quantile Regression He Jia 15 2 0 04 Jan 2024
Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation Henri Pesonen J. Corander 22 0 0 30 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 27 16 0 15 Dec 2023
Amortized Bayesian Decision Making for simulation-based models Mila Gorecki Jakob H. Macke Michael Deistler 13 1 0 05 Dec 2023