Tensor-Train Density Estimation

30 July 2021

Papers citing "Tensor-Train Density Estimation"

25 / 25 papers shown

Title
Explaining Anomalies with Tensor Networks Hans Hohenfeld Marius Beuerle Elie Mounzer 29 0 0 06 May 2025
EigenVI: score-based variational inference with orthogonal function expansions Diana Cai Chirag Modi C. Margossian Robert Mansel Gower David M. Blei Lawrence K. Saul BDL 34 5 0 31 Oct 2024
Improved Off-policy Reinforcement Learning in Biological Sequence Design H. Kim Minsu Kim Taeyoung Yun Sanghyeok Choi Emmanuel Bengio Alex Hernández-García Jinkyoo Park OffRL 15 3 0 06 Oct 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 43 8 0 12 Sep 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang Guy Van den Broeck TPM 45 5 0 01 Aug 2024
Coarse-To-Fine Tensor Trains for Compact Visual Representations Sebastian Loeschcke Dan Wang Christian Leth-Espensen Serge J. Belongie M. Kastoryano Sagie Benaim ViT 37 1 0 06 Jun 2024
Non-negative Tensor Mixture Learning for Discrete Density Estimation Kazu Ghalamkari Jesper L. Hinrich Morten Mørup 59 1 0 28 May 2024
Language Modeling Using Tensor Trains Zhan Su Yuqin Zhou Fengran Mo J. Simonsen 43 2 0 07 May 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data Zerui Tao Toshihisa Tanaka Qibin Zhao 23 1 0 15 Jan 2024
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery Zhen Qin M. Wakin Zhihui Zhu 40 5 0 05 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 26 1 0 13 Dec 2023
Generative Learning of Continuous Data by Tensor Networks Alex Meiburg Jing Chen Jacob Miller Raphaëlle Tihon Guillaume Rabusseau A. Perdomo-Ortiz 24 5 0 31 Oct 2023
Subtractive Mixture Models via Squaring: Representation and Learning Lorenzo Loconte Aleksanteri Sladek Stefan Mengel Martin Trapp Arno Solin Nicolas Gillis Antonio Vergari TPM 28 21 0 01 Oct 2023
How to Turn Your Knowledge Graph Embeddings into Generative Models Lorenzo Loconte Nicola Di Mauro Robert Peharz Antonio Vergari 17 16 0 25 May 2023
Tensorizing flows: a tool for variational inference Y. Khoo M. Lindsey Renana Keydar DRL 20 4 0 03 May 2023
Generative Modeling via Hierarchical Tensor Sketching Yifan Peng Yian Chen E. Stoudenmire Y. Khoo 13 13 0 11 Apr 2023
Sample Complexity Using Infinite Multiview Models Robert A. Vandermeulen 17 3 0 08 Feb 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
Error Analysis of Tensor-Train Cross Approximation Zhen Qin Alexander Lidiak Zhexuan Gong Gongguo Tang M. Wakin Zhihui Zhu 17 9 0 09 Jul 2022
Permutation Search of Tensor Network Structures via Local Sampling C. Li Junhua Zeng Zerui Tao Qianchuan Zhao 16 19 0 14 Jun 2022
Tensor Train for Global Optimization Problems in Robotics Suhan Shetty Teguh Santoso Lembono Tobias Löw Sylvain Calinon 15 11 0 10 Jun 2022
Counting Phases and Faces Using Bayesian Thermodynamic Integration A. Lobashev M. Tamm 18 0 0 18 May 2022
Generative modeling via tensor train sketching Y. Hur J. Hoskins M. Lindsey E. Stoudenmire Y. Khoo 14 23 0 23 Feb 2022
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 230 2,545 0 25 Jan 2016