Approximation and sampling of multivariate probability distributions in the tensor train decomposition

2 October 2018

Papers citing "Approximation and sampling of multivariate probability distributions in the tensor train decomposition"

30 / 30 papers shown

Title
Explaining Anomalies with Tensor Networks Hans Hohenfeld Marius Beuerle Elie Mounzer 29 0 0 06 May 2025
A friendly introduction to triangular transport M. Ramgraber Daniel Sharp M. Le Provost Youssef Marzouk 60 0 0 27 Mar 2025
Sampling-Based Constrained Motion Planning with Products of Experts Amirreza Razmjoo Teng Xue Suhan Shetty Sylvain Calinon 43 1 0 23 Dec 2024
Non-negative Tensor Mixture Learning for Discrete Density Estimation Kazu Ghalamkari Jesper L. Hinrich Morten Mørup 59 1 0 28 May 2024
Sequential transport maps using SoS density estimation and $α$ -divergences Benjamin Zanger Tiangang Cui Martin Schreiber O. Zahm 33 1 0 27 Feb 2024
Optimal sampling for stochastic and natural gradient descent Robert Gruhlke A. Nouy Philipp Trunschke 22 3 0 05 Feb 2024
Tractable Optimal Experimental Design using Transport Maps Karina Koval Roland Herzog Robert Scheichl OT 19 9 0 15 Jan 2024
Metropolis-adjusted interacting particle sampling Bjorn Sprungk Simon Weissmann Jakob Zech 21 7 0 21 Dec 2023
TERM Model: Tensor Ring Mixture Model for Density Estimation Ruituo Wu Jiani Liu Ce Zhu Anh-Huy Phan Ivan V. Oseledets Yipeng Liu 26 1 0 13 Dec 2023
Combining Monte Carlo and Tensor-network Methods for Partial Differential Equations via Sketching Yian Chen Y. Khoo 13 1 0 29 May 2023
Tensorizing flows: a tool for variational inference Y. Khoo M. Lindsey Renana Keydar DRL 20 4 0 03 May 2023
Quasi-Monte Carlo methods for mixture distributions and approximated distributions via piecewise linear interpolation Tiangang Cui J. Dick F. Pillichshammer 21 2 0 28 Apr 2023
Generative Modeling via Hierarchical Tensor Sketching Yifan Peng Yian Chen E. Stoudenmire Y. Khoo 13 13 0 11 Apr 2023
Self-reinforced polynomial approximation methods for concentrated probability densities Tiangang Cui S. Dolgov O. Zahm 19 5 0 05 Mar 2023
High-dimensional density estimation with tensorizing flow Yinuo Ren Hongli Zhao Y. Khoo Lexing Ying 8 9 0 01 Dec 2022
Deep importance sampling using tensor trains with application to a priori and a posteriori rare event estimation Tiangang Cui S. Dolgov Robert Scheichl 39 3 0 05 Sep 2022
Generative Modeling via Tree Tensor Network States Xun Tang Y. Hur Y. Khoo Lexing Ying 16 8 0 03 Sep 2022
Tensor Train for Global Optimization Problems in Robotics Suhan Shetty Teguh Santoso Lembono Tobias Löw Sylvain Calinon 15 11 0 10 Jun 2022
Generative modeling via tensor train sketching Y. Hur J. Hoskins M. Lindsey E. Stoudenmire Y. Khoo 14 23 0 23 Feb 2022
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations A. Litvinenko Youssef Marzouk H. Matthies M. Scavino Alessio Spantini 22 4 0 13 Nov 2021
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan V. Oseledets 40 34 0 30 Jul 2021
Sparse approximation of triangular transports. Part II: the infinite dimensional case Jakob Zech Youssef Marzouk 15 19 0 28 Jul 2021
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction Tiangang Cui S. Dolgov O. Zahm 22 15 0 08 Jun 2021
Solutions of the Multivariate Inverse Frobenius--Perron Problem C. Fox L.-J. Hsiao Jeong-Eun Lee 7 4 0 01 Jun 2021
Deep composition of tensor-trains using squared inverse Rosenblatt transports Tiangang Cui S. Dolgov OT 20 33 0 14 Jul 2020
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format Paul B. Rohrbach S. Dolgov Lars Grasedyck Robert Scheichl 19 21 0 22 Jan 2020
Learning high-dimensional probability distributions using tree tensor networks Erwan Grelier A. Nouy R. Lebrun 9 11 0 17 Dec 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 11 45 0 25 May 2019
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012
Improved Adaptive Rejection Metropolis Sampling Algorithms Luca Martino Jesse Read D. Luengo 35 85 0 24 May 2012