Reproduce experiments

Easily reproduce results, figures and tables from the publications of Lieven De Lathauwer's research group.

Apply algorithms

Apply our clearly documented algorithms to your own problems, guided by tutorials and demos.

Complements Tensorlab

All code in this repository is built on top of Tensorlab, which can be downloaded here.

Read about our philosophy

The rationale behind our reproducible research approach is explained in more detail in this journal paper.

Download the full repository (39.8 MB), consisting of the code for 44 publications, by filling out this form. Note that large files from certain papers are excluded from the full repository.* Individual papers can be downloaded below. All code in Tensorlab⁺ requires Tensorlab.




This repository can be cited as:
S. Hendrikx, M. Boussé, N. Vervliet, M. Vandecappelle, R. Kenis, and L. De Lathauwer, Tensorlab⁺, Available online, Version of Dec 2022 downloaded from https://www.tensorlabplus.net.

Download code for individual papers

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News

Dec 14, 2022: The second release adds the code for 10 new papers

The second release of Tensorlab⁺ provides support for 10 additional papers. The new code is available through both download types. In total, Tensorlab⁺ now allows one to recreate the results of 220+ experiments that are discussed in 44 papers, thus allowing the reproduction of 250+ figures and tables, and it includes 42 tutorials and demos.

22.12
Feb 28, 2022: Initial release of the research results for 34 papers

Our first release includes the algorithms, auxiliary functions, and data needed to recreate the results of over 150+ experiments that are discussed in 34 papers, thus allowing the reproduction of over 180 figures and tables. Additionally, we have included 32 tutorials and demos showing how the proposed algorithms can be used in your own applications.

22.02

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