SIAM Journal on Numerical Analysis, Vol. 43, No. 3 (2006), pp. 1321-1347 (27 pages) This paper develops and investigates iterative tensor methods for solving large-scale systems of nonlinear equations ...
Abstract: Tensor methods have become a promising tool to solve high-dimensional problems in the big data era. By exploiting possible low-rank tensor factorization, many high-dimensional model-based or ...
Abstract: Tensors, or multidimensional arrays, are data structures that can naturally represent visual data of multiple dimensions. Inherently able to efficiently capture structured, latent semantic ...
前回はNumPyを使ってテンソルに触れてみました。今回はPyTorchのTensorを取り扱います。 すでに学んだNumPyのテンソルの知識は、どのように役立つでしょうか。 画像データなどはNumPy形式のデータとして扱われることが多くPyTorchのTensorもNumPyのデータを ...
All the codes used to implement the different algorithms and produce the results found in the Tensor Methods in Statistics Essay may be found in this repository. For examples 1 and 2, we used R and ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
1 Department of Electronic Science and Engineering, National University of Defense Technology, Changsha, China. 2 Department of Computer, National University of Defense Technology, Changsha, China. A ...
Jupyter-notebooks for the course Advanced computational Methods in Physics 2024: Quantum many body and tensor networks at Aalto University (2024). This repository contains the Jupyter notebooks ...
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