Thank you to all the participants of iTWIST'14 for having contributed to the success of this workshop!
(a high resolution picture is available here
Aims of the workshop:
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
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
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)
|→ Oct. 10, 2013:
||2-page paper submission opening
||→ Mar. 6, 2014:
|| Registration opens
|→ Jan. 6, 2014 (
|Dec. 15, 2013):
|Paper submission ends
||→ May 31, 2014:
|| Program finalized
|→ Feb 7, 2014:
||Confirmation of accepted papers
||→ Aug. 1, 2014:
|| Registration closes
|→ Feb 21, 2014:
||Final manuscript due
||→ Aug. 27, 2014:
|| Workshop starts
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
within walking distance of hotels and of the typical town center.