Deep composition of tensor-trains using squared inverse Rosenblatt transports

14 July 2020

Papers citing "Deep composition of tensor-trains using squared inverse Rosenblatt transports"

18 / 18 papers shown

Title
A friendly introduction to triangular transport M. Ramgraber Daniel Sharp M. Le Provost Youssef Marzouk 58 0 0 27 Mar 2025
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 52 5 0 08 Apr 2024
Sequential transport maps using SoS density estimation and $α$ -divergences Benjamin Zanger Tiangang Cui Martin Schreiber O. Zahm 28 1 0 27 Feb 2024
Tensor product algorithms for inference of contact network from epidemiological data Sergey V. Dolgov D. Savostyanov 13 0 0 26 Jan 2024
Tractable Optimal Experimental Design using Transport Maps Karina Koval Roland Herzog Robert Scheichl OT 8 9 0 15 Jan 2024
TERM Model: Tensor Ring Mixture Model for Density Estimation Ruituo Wu Jiani Liu Ce Zhu Anh-Huy Phan Ivan V. Oseledets Yipeng Liu 16 1 0 13 Dec 2023
Tensorizing flows: a tool for variational inference Y. Khoo M. Lindsey Renana Keydar DRL 13 4 0 03 May 2023
Self-reinforced polynomial approximation methods for concentrated probability densities Tiangang Cui S. Dolgov O. Zahm 14 5 0 05 Mar 2023
An Approximation Theory Framework for Measure-Transport Sampling Algorithms Ricardo Baptista Bamdad Hosseini Nikola B. Kovachki Youssef M. Marzouk A. Sagiv OT 17 17 0 27 Feb 2023
Tensor-train methods for sequential state and parameter learning in state-space models Yiran Zhao Tiangang Cui 14 2 0 24 Jan 2023
Deep importance sampling using tensor trains with application to a priori and a posteriori rare event estimation Tiangang Cui S. Dolgov Robert Scheichl 24 3 0 05 Sep 2022
Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm Ye He Krishnakumar Balasubramanian Murat A. Erdogdu 28 5 0 20 Jan 2022
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction Tiangang Cui S. Dolgov O. Zahm 11 15 0 08 Jun 2021
A unified performance analysis of likelihood-informed subspace methods Tiangang Cui X. Tong 17 26 0 07 Jan 2021
Tensor Train Random Projection Yani Feng Keju Tang Lianxing He Pingqiang Zhou Qifeng Liao 8 3 0 21 Oct 2020
On the representation and learning of monotone triangular transport maps Ricardo Baptista Youssef Marzouk O. Zahm 6 46 0 22 Sep 2020
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format Paul B. Rohrbach S. Dolgov Lars Grasedyck Robert Scheichl 8 21 0 22 Jan 2020
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 53 114 0 08 Jun 2018