Maximum Likelihood Learning of Unnormalized Models for Simulation-Based
Inference

Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference

26 October 2022

Papers citing "Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference"

19 / 19 papers shown

Title
Towards Healing the Blindness of Score Matching Mingtian Zhang Oscar Key Peter Hayes David Barber Brooks Paige F. Briol MedIm 75 14 0 15 Sep 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Jilong Li Ping Li 45 50 0 13 May 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 228 48 0 08 Mar 2022
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 250 195 0 12 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 64 256 0 09 Jan 2021
Score Matched Neural Exponential Families for Likelihood-Free Inference Lorenzo Pacchiardi Ritabrata Dutta 156 27 0 20 Dec 2020
Blindness of score-based methods to isolated components and mixing proportions Wenliang K. Li Heishiro Kanagawa 59 34 0 23 Aug 2020
The Expressive Power of a Class of Normalizing Flow Models Zhifeng Kong Kamalika Chaudhuri TPM 54 53 0 31 May 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA Ilyes Khemakhem R. Monti Diederik P. Kingma Aapo Hyvarinen CML 64 114 0 26 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 78 542 0 06 Dec 2019
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 162 849 0 04 Nov 2019
Automatic Posterior Transformation for Likelihood-Free Inference David S. Greenberg M. Nonnenmacher Jakob H. Macke 350 329 0 17 May 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 99 415 0 17 May 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 76 212 0 22 Apr 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 500 366 0 18 May 2018
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 70 521 0 13 Feb 2017
MCMC for doubly-intractable distributions Iain Murray Zoubin Ghahramani D. MacKay 85 418 0 27 Jun 2012
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks R. Everitt 62 100 0 14 Mar 2012
Approximate Bayesian Computational methods Jean-Michel Marin Pierre Pudlo Christian P. Robert Robin J. Ryder 208 862 0 05 Jan 2011