As noted by Kolmogorov in the sixties, "complex" objects require a lot of information for their reconstruction while for "simple" objects, little information should be needed.

By 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 and convex optimization, "sparse" data representations have been widely studied for meeting this prophetic guideline. Briefly, these representations aim at capturing, modeling and exploiting "just the information you need" in the ubiquitous data deluge characterizing any scientific or technological achievements. 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 "sparsity" with other theoretical and applied fields.

The aim of the iTWIST workshop is to foster collaboration between international scientific teams for developing new theories, applications and generalizations of the “sparsity paradigm”. This is why this event emphasizes dissemination of ideas through both specific oral/poster presentations and free discussions.

For this edition, iTWIST’14 will feature 9 invited talks, 10 oral presentations and 14 posters. The workshop welcomes 2-page paper submissions on any aspects of the following themes (see the CfP):

• Sparsity-driven data sensing and processing (e.g., optics, computer vision, biomedical, astronomy)
• Beyond linear and convex inverse problem
• "Blind" inverse problems and dictionary learning
• Information theory, geometry and randomness
• Sparsity? What's next? 
  • Union of low dimensional spaces,
  • cosparsity, mixed/group norm, model based, low-complexity models, ...
• Matrix/manifold sensing/processing (graph, low-rank approximation, ...)
• Sparsity and computational neuroscience 
• Complexity/accuracy tradeoffs in numerical methods/optimization
• Sparse machine learning and inference

Confirmed invited speakers (50' talks,  title/abstract of their talk here):

• Laurent Demanet (MIT, USA)    

• Anders Christian Hansen (Univ. Cambridge, UK)

• Arian Maleki (Columbia Univ., USA)
  

• Daniel Kressner (EPFL, Switzerland)

• Florent Krzakala (ESPCI, Paristech, France)

• Mauro Maggioni (Duke Univ., USA)

• Fritz Sommer  (Univ. California, Berkeley, USA)

• Ivana Tosic (Ricoh Innov., USA)

• Pierre Weiss (CNRS/ITAV, France)
  

For its second edition, the iTWIST workshop will take place in the medieval and picturesque town of Namur in Belgium of Namur, Belgium in "The Arsenal" building, within walking distance of hotels and of the typical town center.