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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
Composite Goodness-of-fit Tests with Kernels Oscar Key Arthur Gretton F. Briol T. Fernandez 122 16 0 19 Nov 2021
Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation A. Cole Benjamin Kurt Miller S. Witte Maxwell X. Cai M. Grootes F. Nattino Christoph Weniger 69 40 0 15 Nov 2021
Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements Maëliss Jallais Pedro L. C. Rodrigues Alexandre Gramfort Demian Wassermann 103 11 0 15 Nov 2021
A research framework for writing differentiable PDE discretizations in JAX A. Stanziola Simon Arridge B. Cox B. Treeby 54 8 0 09 Nov 2021
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities Indranil Pan L. Mason Omar K. Matar AI4CE 102 46 0 07 Nov 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods Desi R. Ivanova Adam Foster Steven Kleinegesse Michael U. Gutmann Tom Rainforth OffRL 132 48 0 03 Nov 2021
Likelihood-Free Inference in State-Space Models with Unknown Dynamics Alexander Aushev Thong Tran Henri Pesonen Andrew Howes Samuel Kaski 58 1 0 02 Nov 2021
Robot Learning from Randomized Simulations: A Review Fabio Muratore Fabio Ramos Greg Turk Wenhao Yu Michael Gienger Jan Peters AI4CE 119 82 0 01 Nov 2021
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes D. Warne Thomas P. Prescott Ruth Baker Matthew J. Simpson 58 16 0 26 Oct 2021
A neural simulation-based inference approach for characterizing the Galactic Center $γ$ -ray excess S. Mishra-Sharma Kyle Cranmer 126 28 0 13 Oct 2021
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 118 42 0 13 Oct 2021
Detecting and Quantifying Malicious Activity with Simulation-based Inference Andrew Gambardella Bogdan State Naemullah Khan Leo Tsourides Philip Torr A. G. Baydin 49 2 0 06 Oct 2021
Inferring dark matter substructure with astrometric lensing beyond the power spectrum S. Mishra-Sharma 101 11 0 04 Oct 2021
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference François Rozet Gilles Louppe 90 6 0 01 Oct 2021
Simulation-based Bayesian inference for multi-fingered robotic grasping Norman Marlier O. Bruls Gilles Louppe 89 6 0 29 Sep 2021
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden Chris Denniston David Millard Fabio Ramos Gaurav Sukhatme 85 22 0 18 Sep 2021
Identification of Vehicle Dynamics Parameters Using Simulation-based Inference Ali Boyali S. Thompson D. Wong 107 6 0 27 Aug 2021
Neural Networks for Parameter Estimation in Intractable Models Amanda Lenzi J. Bessac J. Rudi Michael L. Stein BDL 394 54 0 29 Jul 2021
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference Niccolò Dalmasso Luca Masserano David Y. Zhao Rafael Izbicki Ann B. Lee 150 7 0 08 Jul 2021
Truncated Marginal Neural Ratio Estimation Benjamin Kurt Miller A. Cole Patrick Forré Gilles Louppe Christoph Weniger 135 38 0 02 Jul 2021
Efficient State-space Exploration in Massively Parallel Simulation Based Inference S. Kulkarni C. A. Moritz 22 0 0 29 Jun 2021
Real-time gravitational-wave science with neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Jakob H. Macke A. Buonanno Bernhard Schölkopf 83 135 0 23 Jun 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models Louis Rouillard Demian Wassermann 62 2 0 23 Jun 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 104 13 0 22 Jun 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks Raghav Kansal Javier Mauricio Duarte Haoran Su B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopulos 98 75 0 22 Jun 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator G. Bellec Shuqi Wang Alireza Modirshanechi Johanni Brea W. Gerstner 66 11 0 18 Jun 2021
MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories G. Isacchini Natanael Spisak Armita Nourmohammad T. Mora A. Walczak 68 0 0 03 Jun 2021
Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set Yuanlu Bai T. Balch Haoxian Chen Danial Dervovic Henry Lam Svitlana Vyetrenko 116 2 0 27 May 2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting Eric Heiden Miles Macklin Yashraj S. Narang Dieter Fox Animesh Garg Fabio Ramos 65 96 0 25 May 2021
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds Steven Kleinegesse Michael U. Gutmann FedML 71 25 0 10 May 2021
Segmenting Hybrid Trajectories using Latent ODEs Ruian Shi Q. Morris BDL 50 6 0 09 May 2021
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories Gian Marco Visani A. Lee C. Nguyen David M Kent J. Wong Joshua T. Cohen M. C. Hughes OOD 39 1 0 28 Apr 2021
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC Marko Jarvenpaa J. Corander 54 5 0 08 Apr 2021
gradSim: Differentiable simulation for system identification and visuomotor control Krishna Murthy Jatavallabhula Miles Macklin Florian Golemo Vikram S. Voleti Petrini ... Erleben Liam Paull Florian Shkurti Derek Nowrouzezahrai Sanja Fidler 54 104 0 06 Apr 2021
Learning physical properties of anomalous random walks using graph neural networks Hippolyte Verdier M. Duval François Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 71 25 0 22 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 96 56 0 25 Feb 2021
Neural Posterior Regularization for Likelihood-Free Inference Dongjun Kim Kyungwoo Song Seung-Jae Shin Wanmo Kang Il-Chul Moon Weonyoung Joo 54 1 0 15 Feb 2021
Sequential Neural Posterior and Likelihood Approximation Samuel Wiqvist J. Frellsen Umberto Picchini BDL 446 33 0 12 Feb 2021
Robust and integrative Bayesian neural networks for likelihood-free parameter inference Fredrik Wrede Robin Eriksson Richard M. Jiang Linda R. Petzold Stefan Engblom Andreas Hellander Prashant Singh 115 7 0 12 Feb 2021
HNPE: Leveraging Global Parameters for Neural Posterior Estimation Pedro L. C. Rodrigues Thomas Moreau Gilles Louppe Alexandre Gramfort 175 13 0 12 Feb 2021
Real-Time Likelihood-Free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation Keming 名 Zhang 张可 J. Bloom B. Gaudi F. Lanusse C. Lam Jessica R. Lu 41 28 0 10 Feb 2021
Variational Inference for Deblending Crowded Starfields Runjing Liu Jon D. McAuliffe Jeffrey Regier BDL 61 10 0 04 Feb 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 89 182 0 02 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 265 198 0 12 Jan 2021
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE J. Rudi J. Bessac Amanda Lenzi 333 33 0 12 Dec 2020
Learning summary features of time series for likelihood free inference Pedro L. C. Rodrigues Alexandre Gramfort AI4TS 56 4 0 04 Dec 2020
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates Tatiana Lopez-Guevara Michael G. Burke Nick K. Taylor Kartic Subr OffRL 48 0 0 30 Nov 2020
Towards constraining warm dark matter with stellar streams through neural simulation-based inference Joeri Hermans N. Banik Christoph Weniger G. Bertone Gilles Louppe 80 29 0 30 Nov 2020
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time Benjamin Kurt Miller A. Cole Gilles Louppe Christoph Weniger 58 19 0 27 Nov 2020
Generalized Posteriors in Approximate Bayesian Computation Sebastian M. Schmon Patrick W Cannon Jeremias Knoblauch 105 25 0 17 Nov 2020