Tensorizing flows: a tool for variational inference

Tensorizing flows: a tool for variational inference

3 May 2023

Papers citing "Tensorizing flows: a tool for variational inference"

17 / 17 papers shown

Title
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models Yu Wang Fan Liu Daniele E. Schiavazzi TPM BDL 39 14 0 28 Aug 2021
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan Oseledets 69 35 0 30 Jul 2021
Copula-Based Normalizing Flows M. Laszkiewicz Johannes Lederer Asja Fischer 48 7 0 15 Jul 2021
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data M. N. D. Costa R. Attux A. Cichocki J. Romano 27 3 0 22 Jan 2021
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 199 1,691 0 05 Dec 2019
Computing Committor Functions for the Study of Rare Events Using Deep Learning Qianxiao Li Bo Lin W. Ren 51 68 0 14 Jun 2019
Flow-based generative models for Markov chain Monte Carlo in lattice field theory M. S. Albergo G. Kanwar P. Shanahan AI4CE 46 218 0 26 Apr 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 134 873 0 02 Oct 2018
Approximation and sampling of multivariate probability distributions in the tensor train decomposition S. Dolgov K. Anaya-Izquierdo C. Fox Robert Scheichl 47 74 0 02 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 287 3,128 0 09 Jul 2018
Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions Michalis K. Titsias BDL 42 23 0 04 Aug 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 263 78 0 26 May 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 256 4,787 0 04 Jan 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 450 43,277 0 11 Feb 2015
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 85 2,740 0 20 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 439 16,940 0 20 Dec 2013
Nonparametric variational inference S. Gershman Matt Hoffman David M. Blei BDL 104 153 0 18 Jun 2012