Since the last Nuit Blanche in Review ( July 2015 ) we saw the birth of GitXiv and a few implementations.

We also had some in-depth studies, with in particular some on-going clues of The Great Convergence in action as well as some compressive sensing hardware:

Credit: NASA/Johns Hopkins University Applied Physics Laboratory/Southwest Research Institute

- GitXiv: Because People Still Don't Care About You and Your Algorithm
- Machine Learning and Homomorphic Encryption
- Mash: Fast genome distance estimation using the MinHash algorithm
- Light Field Reconstruction Using Sparsity in the Continuous Fourier Domain
- ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
- Manitest: Are classifiers really invariant?
- Low-Rank Spectral Optimization
- Fast Robust PCA on Graphs
- Consistent Signal and Matrix Estimates in Quantized Compressed Sensing
- Robust Principal Component Analysis on Graphs

We also had some in-depth studies, with in particular some on-going clues of The Great Convergence in action as well as some compressive sensing hardware:

- Toward a unified theory of sparse dimensionality reduction in Euclidean space
- Comparative Analysis of Scattering and Random Features in Hyperspectral Image Classification
- Distributed Compressive Sensing: A Deep Learning Approach
- Random Noise in the GoogleLeNet Architecture
- Cuckoo Linear Algebra
- Expander $\ell_0$-Decoding
- Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
- SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing based on Sparse-Graph Codes
- The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
- A Randomized Rounding Algorithm for Sparse PCA
- A Deep Learning Approach to Structured Signal Recovery
- Single-sensor multispeaker listening with acoustic metamaterials / Spectral-temporal compressive imaging
- The inverse fast multipole method: using a fast approximate direct solver as a preconditioner for dense linear systems

- CSjob: Internship Opening: Nonlinear Dynamics and Control, MERL
- CSJob: Faculty, Chancellor's Faculty Excellence Program, NC State.

- Thesis: Message Passing and Combinatorial Optimization, Siamak Ravanbakhsh
- Thesis: Shallow and Deep Learning for Audio and Natural Language Processing, Po-Sen Huang

- Videos: Summer School on Hashing: Theory and Applications, 2014
- Saturday Morning Video: Machine Learning with Scikit Learn, Andreas Mueller & Kyle Kastner, SciPy 2015 Tutorial
- Slides; Deep Learning Summer School 2015
- Slides: KDD2015 Tutorials
- Proceedings SIGGRAPH 2015 and interesting papers
- Slides: Beating the Perils of Non-Convexity: Training Neural Networks using Tensor Methods
- Videos and Slides: Statistical Machine Learning course at CMU, Ryan Tibshirani and Larry Wasserman, Spring 2015
- Video: Deep Learning by Geoff Hinton, University of Cambridge, June 29th, 2015
- Saturday Morning Video: Dark Knowledge, Geoff Hinton
- Saturday Morning Video: A Mouse Brain
- Saturday Morning Video: Reinforcement Learning, David Silver
- Saturday Video Morning: Machine Learning Summer School Sydney 2015 (Slides and videos)

Credit: NASA/Johns Hopkins University Applied Physics Laboratory/Southwest Research Institute

**Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page 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.