iTWIST 2020 was held online from Centrale Nantes from 30 November to 4 December 2020. View the replays on this page.

iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques

The advent of increased computing capabilities, along with recent theoretical and numerical breakthroughs in the fields of signal processing, computational harmonic analysis, inverse problem solving, high-dimensional statistics and convex optimization, have boosted interactions between low-complexity data models (e.g., sparse or low-rank data models) and novel data sensing techniques.

In a nutshell, low-complexity data models aim at capturing, modeling and exploiting “just the information you need” in the ubiquitous data deluge characterizing any scientific or technological achievements. High dimensional objects can be thus reconstructed using little information. However, further developments and novel ideas are still required to meet new challenges, especially for efficiently dealing with complex data structures of “real life” applications and for interconnecting such models with other theoretical and applied fields. 

​The iTWIST workshop aims at fostering collaboration between international scientific teams for developing new theories, applications and generalizations of low-complexity models.

For this edition, iTWIST was divided into two parts, a 2-day doctoral school, followed by the actual workshop for three days. All videos are available below.

• Click here to download the presentations in pdf format: https://box.ec-nantes.fr/index.php/s/9w5t6PwBWHfpBMz

Lectures

Keynotes

Talks

Sparsity

Sensing Theory and Methods

Learning Methods

Non-negative Matrix Factorization

Off-the-grid Sparsity

Clustering and Source Separation

Audio Processing

Microscopy Imaging

Computational Imaging

Sponsors