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<h5>Description:</h5>
<p>Tensorlab+ is a reproducible research repository for tensor computations, built on top of <a href="https://www.tensorlab.net/" target="_blank" rel="noopener">Tensorlab</a>.</p>
<p>The first release of Tensorlab+ includes the algorithms, auxiliary functions, and data needed to recreate the results of 150+ experiments that are discussed in 34 of our research papers, allowing the reproduction of 180+ figures and tables. Moreover, we have included 32 tutorials and demos showing how the proposed algorithms can be used in your own applications.</p>

<h5>More Information:</h5>
<ul>
<li><strong>Grand Challenge/Workpackage(s)</strong>: <a href="/nl/onderzoek/onderzoeksuitdagingen-2019-2023/ai-driven-data-science"[entry:58:/onderzoek/onderzoeksutidagingen-2019-2023/ai-driven-data-science]data-entry-id="58">GC1</a> - WP3</li>
<li><strong>Responsible Research Lead</strong>: <a href="mailto:lieven.delathauwer@kuleuven.be" target="_blank" rel="noopener">Lieven De Lathauwer</a></li>
<li><strong>Authors</strong>: S. Hendrikx, M. Bouss&eacute;, <a href="mailto:Nico.Vervliet@esat.kuleuven.be" target="_blank" rel="noopener">Nico Vervliet</a>, M. Vandecappelle, <a href="mailto:Robin.Kenis@esat.kuleuven.be" target="_blank" rel="noopener">Robin Kenis</a>, and <a href="mailto:lieven.delathauwer@kuleuven.be" target="_blank" rel="noopener">Lieven De Lathauwer</a></li>
<li><strong>Programming Language</strong>: Matlab</li>
<li><a href="https://www.tensorlabplus.net/" target="_blank" rel="noopener">Link to the website</a></li>
<li><a href="https://www.tensorlabplus.net/" target="_blank" rel="noopener">Link to the repository</a></li>
<li><strong>Categories:</strong> Optimization, Multi-linear algebra</li>
</ul>