Nuit Blanche: Matheon Workshop 2013 on Compressed Sensing and its Applications

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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