IEEE

An Adaptive Rank-Based Tensor Ring Completion Model for Intelligent Transportation Systems

Abstract: Low rank tensor ring based data recovery algorithms have been widely used in vehicle road cooperation intelligent transportation system to recover missing data entries in the sensing data ...
IEEE

Non-Local Self-Similarity Tensor Ring Completion: Tensor Ring Completion using non-local self-similarity for Image Recovery

Abstract: Tenor Ring (TR) is a cutting-edge tensor decomposition algorithm, and the tensor completion model based on TR decomposition is widely used in image recovery, which is able to estimate the ...
GitHub

Tensor train and Ring optimisation inference contractors tensorised LLM

This repository provides a PyTorch implementation for accelerating deep learning models, focusing on Natural Language Processing (NLP), through tensor decomposition techniques. It specifically ...
GitHub

Visualization of Tensor Decompositions

Define the parameters of the decomposition and automatically produce the appropriate visualization. Currently only supports Tensor Train and Tensor Ring decompositions. When working on TD I found that ...
Europe PMC

Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs.

Modern data analytics applications are increasingly characterized by exceedingly large and multidimensional data sources. This represents a challenge for traditional machine learning models, as the ...