Matheon Workshop 2013 on Compressed Sensing and its Applications

Last April, we announced the Matheon Workshop 2013 on Compressed Sensing and its Applications. It was held last week and the attendant booklet is here. Here is the program:

Monday, 9. 12. 

• 9:00-10:00 Volker Mehrmann (Technische Universität Berlin, Germany) Reduced order modeling of parameter dependent nonlinear eigenvalue bifurcation problems
• 10:00-10:30 Coffee break (Room H 3004)
• 10:30-11:05 Rémi Gribonval (Centre de Recherche INRIA Rennes, France) Fundamental performance limits of decoders in high-dimensional linear inverse problems
• 11:05-11:40 Petros Boufounos (Mitsubishi Electric Research Laboratory, USA) On the representation and coding of signal distances
• 11:40-12:15 Mark Davenport (Georgia Institute of Technology, USA) Compressive sensing in the analog world
• 12:15-14:00 Lunch break
• 14:00-15:00 Ali Pezeshki (Colorado State University, USA) Compressed sensing and high-resolution image inversion
• 15:00-15:30 Coffee break (Room H 3004)
• 15:30-16:05 David Gross (Universität Freiburg, Germany) A partial derandomization of PhaseLift using spherical designs
• 16:05-16:40 Chris Rozell (Georgia Institute of Technology, USA) On the move: Dynamical systems for modeling, measurement and inference in compressed sensing
• 16:40-17:15 Waheed Bajwa (Rutgers University, USA) Low-complexity subspace unmixing

 Tuesday, 10. 12. 8:00-9:00 Registration (Room H 3004)

• 9:00 – 10:00 Guillermo Sapiro (Duke University, USA) Learning to cluster and classify
• 10:00-10:30 Coffee break (Room H 3004)
• 10:30-11:05 Rebecca M. Willett (Duke University, USA) Minimax optimal rates for photon-limited compressed sensing
• 11:05-11:40 Volkan Cevher (EPFL, Switzerland) Composite self-concordant minimization
• 11:40-12:15 Christof Schütte (Freie Universität Berlin & Zuse-Institut Berlin (ZIB), Germany) Sparsity in molecular dynamics
• 12:15-14:00 Lunch break
• 14:00-17:15 Poster Session & Coffee (Atrium of the main building)

Wednesday, 11. 12. 8:00-9:00 Registration (Room H 3004)

• 9:00-10:00 Babak Hassibi (California Institute of Technology, USA) Recovering structured signals from noisy measurements: Where least-squares meets compressed sensing
• 10:30-11:05 Holger Rauhut (RWTH Aachen, Germany)  Interpolation via weighted l1-minimization
• 11:05-11:40 Anders Hansen (University of Cambridge, UK) Compressed sensing in the real world - The need for a new theory
• 11:40-12:15 Matthew Fickus (AFIT, USA) Equiangular tight frames and the restricted isometry property

Thursday, 12. 12. 8:00-9:00 Registration (Room H 3004)

• 9:00-10:00 Martin Vetterli (EPFL, Switzerland) Inverse problems regularized by sparsity
• 10:30-11:05 Reinhold Schneider (Technische Universität Berlin, Germany) Numerical methods for low rank recovery of hierarchical tensors
• 11:05-11:40 Shmuel Friedland (University of Illinois at Chicago, USA)  Compressive sensing of sparse tensors
• 11:40-12:15 Massimo Fornasier (Technische Universität München, Germany) Quasi-linear compressed sensing and applications in asteroseismology
• 12:15-14:00 Lunch break
• 14:00-15:00 Richard Baraniuk (Rice University, USA) Video compressive sensing
• 15:00-15:30 Coffee break (Room H 3004)
• 15:30-16:05 Dustin Mixon (AFIT, USA) A new approach to derandomize compressed sensing matrices
• 16:05-16:40 Rachel Ward (University of Texas at Austin, USA) Stochastic gradient descent with importance sampling
• 16:40-17:15 Felix Krahmer (Universität Göttingen, Germany) Dimension reduction techniques for efficient subspace approximation

Friday, 13. 12. 8:00-9:00 Registration (Room H 3004)

• 9:00-10:00 Helmut Bölcskei (ETH Zürich, Switzerland)
• Signal recovery, uncertainty relations, and Rényi information dimension
• 10:00-10:30 Coffee break (Room H 3004)
• 10:30-11:05 Miguel Rodrigues (University College London, UK) Fundamental limits on the performance of compressive classification: A characterization inspired by dualities between classification and wireless communications problems
• 11:05-11:40 Peter Jung (Technische Universität Berlin, Germany)
• Low-complexity model uncertainties in compressed sensing with application to
•  sporadic communication
• 11:40-12:15 Philipp Walk (Technische Universität München, Germany)
• Stable embedding of sparse convolutions
• 12:15-12:30 Closing remarks

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