On Contrastive Learning for Likelihood-free Inference

10 February 2020

Papers citing "On Contrastive Learning for Likelihood-free Inference"

27 / 77 papers shown

Title
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 12 40 0 15 Nov 2021
Likelihood-Free Inference in State-Space Models with Unknown Dynamics Alexander Aushev Thong Tran Henri Pesonen Andrew Howes Samuel Kaski 23 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 10 77 0 01 Nov 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 64 38 0 13 Oct 2021
Identification of Vehicle Dynamics Parameters Using Simulation-based Inference Ali Boyali S. Thompson D. Wong 6 6 0 27 Aug 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 16 5 0 08 Jul 2021
Truncated Marginal Neural Ratio Estimation Benjamin Kurt Miller A. Cole Patrick Forré Gilles Louppe Christoph Weniger 20 37 0 02 Jul 2021
On Contrastive Representations of Stochastic Processes Emile Mathieu Adam Foster Yee Whye Teh BDL AI4TS 12 15 0 18 Jun 2021
Deep Bayesian Active Learning for Accelerating Stochastic Simulation D. Wu Ruijia Niu Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4CE 12 8 0 05 Jun 2021
MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories G. Isacchini Natanael Spisak Armita Nourmohammad T. Mora A. Walczak 18 0 0 03 Jun 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 475 0 08 Mar 2021
Metropolis-Hastings via Classification Tetsuya Kaji Veronika Rockova 15 8 0 06 Mar 2021
Sequential Neural Posterior and Likelihood Approximation Samuel Wiqvist J. Frellsen Umberto Picchini BDL 15 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 A. Hellander Prashant Singh 15 6 0 12 Feb 2021
HNPE: Leveraging Global Parameters for Neural Posterior Estimation Pedro L. C. Rodrigues Thomas Moreau Gilles Louppe Alexandre Gramfort 17 11 0 12 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 96 184 0 12 Jan 2021
Learning summary features of time series for likelihood free inference Pedro L. C. Rodrigues Alexandre Gramfort AI4TS 18 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 6 0 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 6 19 0 27 Nov 2020
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference M. Vandegar Michael Kagan Antoine Wehenkel Gilles Louppe 8 27 0 11 Nov 2020
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen Dinghuai Zhang Michael U. Gutmann Aaron Courville Zhanxing Zhu 6 79 0 20 Oct 2020
Error-guided likelihood-free MCMC Volodimir Begy Erich Schikuta 6 3 0 13 Oct 2020
Simulation-based inference methods for particle physics Johann Brehmer Kyle Cranmer AI4CE 6 21 0 13 Oct 2020
Telescoping Density-Ratio Estimation Benjamin Rhodes Kai Xu Michael U. Gutmann 6 94 0 22 Jun 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 13 157 0 31 Mar 2020
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 40 57 0 05 Jun 2019
Likelihood-free inference by ratio estimation Owen Thomas Ritabrata Dutta J. Corander Samuel Kaski Michael U. Gutmann 33 145 0 30 Nov 2016