Nuit Blanche in Review (January 2016)

Since the last Nuit Blanche in Review(December 2015) we had one implementation, a few in-depth entries, abook, three videos, four jobs and more. Enjoy !

Implementation

• Random sub-Nyquist polarimetric modulator - implementation -

In-depth:

• Speckle-learning-based object recognition through scattering media
• ACDC: A Structured Efficient Linear Layer
• Dimensionality-Dependent Generalization Bounds for $k$-Dimensional Coding Schemes
• Matrix Neural Networks
• Learning A Task-Specific Deep Architecture For Clustering / D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
• Multi-Processor Approximate Message Passing Using Lossy Compression
• Sub-Sampled Newton Methods
• ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements
• Random Features Roundup
• Sliiiiiiiime in the IrlS Machine Learning solver : IRLS and Slime Mold: Equivalence and Convergence
• On a Natural Dynamics for Linear Programming
• Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering
• A Review on Low-Rank Models in Signal and Data Analysis / An overview of low-rank matrix recovery from incomplete observations
• Blind Deconvolution Meets Blind Demixing: Algorithms and Performance Bounds
• Low-Rank Representation over the Manifold of Curves
• Data-based reconstruction of complex geospatial networks, nodal positioning and detection of hidden nodes
• Fast Integral Image Estimation at 1% measurement rate
• The many ways to solve the Linear Boltzman / Transport Equation

 Book:

• Book: Statistical Learning with Sparsity: The Lasso and Generalizations by Trevor Hastie, Robert Tibshirani, Martin Wainwright

Job:

• Job: PhD studentship and Postdocs, Fellowship program at IBM Research related to data science for social good
• CSjob: Reader (Associate Professor) in Machine Learning & Computer Vision, University of Surrey, UK
• Job: Researcher (equivalent to Lecturer or higher) / Post Doctoral Researcher, Computational Mass Spectrometry Imaging and Informatics, NPL? Teddington, UK
• Job: 2 Postdocs and 2 PhD, Low-dimensional representations of high-dimensional data based on low-rank matrix approximations, in Mons, Belgium

Meetings

• SpaRTaN-MacSeNet Spring School on Sparse Representations and Compressed Sensing 4-8 April 2016, Ilmenau, Germany

Videos:

• Saturday Morning Video: Recent advances in deep learning, Oriol Vinyals, Google
• Saturday Morning Video: NIPS 2015 Tutorial on Deep Learning by Geoffrey E. Hinton, Yann LeCun, and Yoshua Bengio
• CAI: Tank Implosion through Phase-based Video Motion Processing

Paris Machine Learning

• Bach, Leonardo, Cancer and the Search for the Master Algorithm. A short summary of last night's Paris Machine Learning Meetup (#5 Season 3)
• Paris Machine Learning Meetup #5 Season 3: "Large p, small n", AutoML, Music composition with LSTMs, Modeling Human Faces
• Paris Machine Learning Meetup: A Two Year and a Half Review

Credit photo: Courtesy of NASA/SDO and the AIA, EVE, and HMI science teams.


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