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The frontier of simulation-based inference

4 November 2019

Papers citing "The frontier of simulation-based inference"

50 / 337 papers shown

Title
Multiscale Flow for Robust and Optimal Cosmological Analysis B. Dai U. Seljak 89 20 0 07 Jun 2023
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference J. Linhart Alexandre Gramfort Pedro L. C. Rodrigues 95 9 0 06 Jun 2023
Learning to Simulate Tree-Branch Dynamics for Manipulation Jayadeep Jacob T. Bandyopadhyay Jason L. Williams Paulo Borges Fabio Ramos AI4CE 55 5 0 06 Jun 2023
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators Tom Blau Iadine Chadès Amir Dezfouli Daniel M. Steinberg Edwin V. Bonilla 70 1 0 29 May 2023
Conditional score-based diffusion models for Bayesian inference in infinite dimensions Lorenzo Baldassari Ali Siahkoohi Josselin Garnier K. Sølna Maarten V. de Hoop DiffM 107 23 0 28 May 2023
Flow Matching for Scalable Simulation-Based Inference Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 89 60 0 26 May 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 118 35 0 25 May 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao Michael Deistler Jakob H. Macke 127 13 0 24 May 2023
Simultaneous identification of models and parameters of scientific simulators Cornelius Schroder Jakob H. Macke 94 4 0 24 May 2023
Adversarial robustness of amortized Bayesian inference Manuel Glöckler Michael Deistler Jakob H. Macke AAML 92 16 0 24 May 2023
Discriminative calibration: Check Bayesian computation from simulations and flexible classifier Yuling Yao Justin Domke UQLM 86 2 0 24 May 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series Alexander Nikitin Letizia Iannucci Samuel Kaski TTA SyDa AI4TS 108 14 0 19 May 2023
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison N. Jeffrey Benjamin Dan Wandelt BDL 53 14 0 18 May 2023
Generalised likelihood profiles for models with intractable likelihoods D. Warne Oliver J. Maclaren E. Carr Matthew J. Simpson Christopher C. Drovandi 69 8 0 18 May 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 82 39 0 17 May 2023
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics Rafael Orozco Ali Siahkoohi M. Louboutin Felix J. Herrmann 66 3 0 15 May 2023
Designing Optimal Behavioral Experiments Using Machine Learning Simon Valentin Steven Kleinegesse Neil R. Bramley P. Seriès Michael U. Gutmann Chris Lucas 90 3 0 12 May 2023
String Diagrams with Factorized Densities Eli Sennesh Jan-Willem van de Meent 40 0 0 04 May 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning Maohao Shen S. Ghosh P. Sattigeri Subhro Das Yuheng Bu G. Wornell VLM 115 12 0 30 Apr 2023
Balancing Simulation-based Inference for Conservative Posteriors Arnaud Delaunoy Benjamin Kurt Miller Patrick Forré Christoph Weniger Gilles Louppe 69 9 0 21 Apr 2023
Implicit representation priors meet Riemannian geometry for Bayesian robotic grasping Norman Marlier Julien Gustin O. Bruls Gilles Louppe 76 0 0 18 Apr 2023
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks B. Afkham Julianne Chung Matthias Chung 53 1 0 17 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 94 27 0 12 Apr 2023
Statistical constraints on climate model parameters using a scalable cloud-based inference framework J. Carzon B. R. D. Abreu L. Regayre K. Carslaw L. Deaconu P. Stier H. Gordon Mikael Kuusela 19 2 0 06 Apr 2023
Graph-informed simulation-based inference for models of active matter Namid R Stillman S. Henkes R. Mayor Gilles Louppe 60 1 0 05 Apr 2023
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware Jakob Kaiser Raphael Stock Eric Müller Johannes Schemmel Sebastian Schmitt 37 3 0 28 Mar 2023
Towards black-box parameter estimation Amanda Lenzi Haavard Rue 393 5 0 27 Mar 2023
Simulation-based Bayesian inference for robotic grasping Norman Marlier O. Bruls Gilles Louppe 60 4 0 10 Mar 2023
AI for Science: An Emerging Agenda Philipp Berens Kyle Cranmer Neil D. Lawrence U. V. Luxburg Jessica Montgomery 65 6 0 07 Mar 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification Rafael Orozco M. Louboutin Ali Siahkoohi G. Rizzuti Tristan van Leeuwen Felix J. Herrmann OOD 73 13 0 06 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 51 2 0 03 Mar 2023
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows Anna Willmann J. C. Cabadağ Yen-Yu Chang R. Pausch Amin Ghaith A. Debus A. Irman Michael Bussmann U. Schramm Nico Hoffmann 35 0 0 27 Feb 2023
Infinite-Dimensional Diffusion Models Jakiw Pidstrigach Youssef Marzouk Sebastian Reich Sven Wang 127 13 0 20 Feb 2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models Stefan T. Radev Marvin Schmitt Valentin Pratz Umberto Picchini Ullrich Kothe Paul-Christian Bürkner BDL 286 32 0 17 Feb 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 82 31 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 65 13 0 31 Jan 2023
A Deep Learning Method for Comparing Bayesian Hierarchical Models Lasse Elsemüller Martin Schnuerch Paul-Christian Bürkner Stefan T. Radev BDL 97 10 0 27 Jan 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 125 15 0 27 Jan 2023
3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis Ilker Yildirim Max H. Siegel Amir Arsalan Soltani Shraman Ray Chaudhari J. Tenenbaum 3DV 106 3 0 09 Jan 2023
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 71 71 0 30 Nov 2022
Neural Superstatistics for Bayesian Estimation of Dynamic Cognitive Models Lukas Schumacher Paul-Christian Bürkner A. Voss Ullrich Kothe Stefan T. Radev 39 11 0 23 Nov 2022
Cosmology from Galaxy Redshift Surveys with PointNet Sotiris Anagnostidis Arne Thomsen T. Kacprzak T. Troster Luca Biggio Alexandre Réfrégier Thomas Hofmann 3DPC 74 5 0 22 Nov 2022
Validation Diagnostics for SBI algorithms based on Normalizing Flows J. Linhart Alexandre Gramfort P. L. C. R. M. -. Inria 75 7 0 17 Nov 2022
Bayesian score calibration for approximate models Joshua J. Bon D. Warne David J. Nott Christopher C. Drovandi 54 3 0 10 Nov 2022
Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference Bingjie Wang J. Leja A. Villar J. Speagle 113 2 0 07 Nov 2022
$Rare event ABC-SMC$^{2}$$ Rare event ABC-SMC $^{2}$ Ivis Kerama Thomas Thorne R. Everitt 44 0 0 03 Nov 2022
Fast and robust Bayesian Inference using Gaussian Processes with GPry Jonas El Gammal Nils Schöneberg J. Torrado C. Fidler GP 92 16 0 03 Nov 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification Ruoxi Jiang Rebecca Willett 56 7 0 03 Nov 2022
Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference Pierre Glaser Michael Arbel Samo Hromadka Arnaud Doucet Arthur Gretton 121 2 0 26 Oct 2022
Efficient Data Mosaicing with Simulation-based Inference Andrew Gambardella Youngjun Choi Doyo Choi Jinjoon Lee 48 0 0 26 Oct 2022