Monday, October 28, 2013

Randomized Items:Uncompressing CS, Les Houches school on "Statistical physics, Optimization, Inference and Message-Passing algorithms", Upcoming workshop on "Statistical Issues in Compressive Sensing"

First Andrew had a post on Uncompressing the concept of compressed sensing go read it and post a comment there if you feel inclined, I'll wait.

The Statistical physics, Optimization, Inference and Message-Passing algorithms School at Les Houches ended on October 11, 2013, here are the presentations for some of the speakers as well the titles of posters. I am told that notes were taken and they would be made available in the future. Stay tuned, in the meantime:
List of lecturers:
First week:

Second week:
  • Marc Mezard (ENS Paris): Cavity method: message passing from a physics perspective. 
  • Andrea Montanari (Stanford Univ.): idem... 
  • Rudiger Urbanke (EPFL): Error correcting codes and spatial coupling 
  • Amin Coja-Oghlan (Frankfurt Univ.): Phase transitions in random discrete structures: a rigorous approach 


List of posters:
Tuesday: 
1. Marco Mondelli: Scaling Exponent of List Decoders with Applications to Polar Codes 
2. Andrei Giurgiu: A proof of the exactness of the replica symmetric formula for LDPC codes above the MAP threshold. 
3. El-Khatib Rafah: Displacement Convexity - A Framework for the Analysis of Spatially Coupled Codes 
4. Santhosh Kumar Vanaparthy: Threshold Saturation for Spatially-Coupled LDPC and LDGM Codes on BMS Channels 
5. Hamed Hassani: New lower bounds for CSPs using spatial coupling 
6. Jean Barbier: Robust error correction for real-valued signals via message-passing decoding and spatial coupling 
7. Francesco Caltagirone: Dynamics and termination cost of spatially coupled mean-field models 
8. Cohen Or: Low temperature expansion of steady-state measures of nonequilibrium markov chains via graphical representatio 
9. Aurelien Decelle: Belief Propagation inspired Monte Carlo 
10. Yuji Sakai: Markov Chain Monte Carlo Method with Skew Detailed Balance Condition 
11. Satoshi Takabe: Typical behavior of the linear programming method for combinatorial optimization problems 
12. Masahiko Ueda: Calculation of 1RSB transition temperature of spin glass models on regular random graphs under replica symmetric ansatz 
13. Wang Chuang: Tensor renormalization group method for spin glass 
14. Gino Del Ferraro: Mean field spin glasses treated with PDE techniques 
15. Flaviano Morone: Large deviations of correlation functions in random magnets 
16. Andre Manoel: Statistical mechanics for the analysis and design of information hiding algorithms 
17. Ayaka Sakata: Time evolution of autocorrelation function in dynamical replica theory 
18. Alexander Mozeika: Projected generalized free energies for non-equilibrium states 
19. Stefan Falkner: A Renormalization Group Approach to Quantum Walks 
20. Moffatt, Iain: The Potts-Tutte connection in an external field 
Wednesday: 
21. Jonas Dittmann: TV regularized tomographic reconstruction from few (X-Ray) projections based on CS 
22. Yingying Xu: Statistical Mechanics Approach to 1-Bit Compressed Sensing. 
23. Christophe Schulke: Blind Calibration in Compressed Sensing using Message Passing Algorithms 
24. Wang Chuang: Partition function expansion for generalized belief propagation. 
25. Harrison Elizabeth: Probabilistic Control in Smart-Grids. 
26. Maksym Girnyk: A Statistical Mechanical Approach to MIMO Channels 
27. Ulugbek Kamilov: Wavelet-Domain Approximate Message Passing for Bayesian Image Deconvolution 
28. Rémi Lemoy: Variable-focused local search on Random 3-SAT 
29. Alberto Guggiola: Mapping between sequence and response space in the olfactory system in Drosophila 
30. Marcus Benna: Long-term memory with bounded synaptic weights 
31. Or Zuk: TBA 
32. Jack Raymond: Utilizing the Hessian to improve variational inference 
33. Andrey Lokhov: Dynamic message-passing equations and application to inference of epidemic origin 
34. Aurelien Decelle: Decimation based method to improve inference using the Pseudo-Likelihood method 
35. Alejandro Lage Castellanos: TBA 
36. Munik Shrestha: Spread of reinforcement driven trends in networks with message-passing approach 
37. Dani Martí: Scalability properties of multimodular networks with dynamic gating 
38. Abigail Zoe Jacobs: Latent space models for network structure: an application to ecology 
39. Shunsuke Watanabe: The analysis of degree-correlated networks based on cavity method 
40. Caterina De Bacco: Shortest non-overlapping routes on random graphs. 



The DFG/SNF Research Group FOR916 and the DFG Research Training Group 1023 organizes a workshop on Statistical Issues in Compressive Sensing at the University of Göttingen, Germany, November 11-13, 2013. The list of abstract is below:




Image Credit: NASA/JPL/Space Science Institute
N00217830.jpg was taken on October 21, 2013 and received on Earth October 22, 2013. The camera was pointing toward SATURN-DRING at approximately 1,463,952 miles (2,356,003 kilometers) away, and the image was taken using the CL1 and CL2 filters. 

Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

No comments:

Printfriendly