Nuit Blanche in Review ( November 2015 )

Fluctuat Nec Mergitur

 Here are the blog entries we had since the last review ( October 2015 )  and some  Hard Questions

  Implementations

• Scampi: a robust approximate message-passing framework for compressive imaging
• False Discoveries Occur Early on the Lasso Path
• The Big List of Deep Learning Toolkits
• TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

 

Conferences:

• Machine Learning Summer School 2016, University of Cadiz, Spain, May 11th to 21st 2016
• PCMI Summer School, "The Mathematics of Data", June 30 – July 20, 2016, Utah

 

In-depth 

ML

Gradual DropIn of Layers to Train Very Deep Neural Networks

• The Human Kernel
• Deep Kernel Learning
• GURLS vs LIBSVM: Performance Comparison of Kernel Methods for Hyperspectral Image Classification

 Random Features

• Random Features Roundup
• Circulants in Neural Networks, Randomized Skeleton, Quantization based Fast Inner Product Search, Fast Binary Embedding, Quantization based Fast Inner Product Search 

CS/Sparsity

• Random sampling of bandlimited signals on graphs
• Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach
• Sparse Multinomial Logistic Regression via Approximate Message Passing 

MF

• Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach
• Sequential Information Guided Sensing / Info-Greedy sequential adaptive compressed sensing
• Guarantees of Riemannian Optimization for Low Rank Matrix Recovery
• Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing

 

Hardware

• Blind and reference-free fluorescence lifetime estimation via consumer time-of-flight sensors
• Multispectral imaging using a single bucket detector
• Toward Long Distance, Sub-diffraction Imaging Using Coherent Camera Arrays

 

Paris Machine Learning meetup

• Paris Machine Learning Meetup #3 Season 3: Zero Resource Speech Challenge, Epidemium, Smartsubs, TensorFlow, ML Use

Videos

• Saturday Morning Video: Statistical Learning with Big Data by Trevor Hastie 
• Saturday Morning Videos: Videos and slides for Speech and Audio in the Northeast (SANE) 2015 
• Saturday Morning Video: Use of hyperspectral cameras based on CMOS area scan sensors 
• Slides and Videos: Randomized Numerical Linear Algebra reading group, Berkeley, Spring 2015 

 

Thesis:

• Thesis: Statistical physics and approximate message-passing algorithms for sparse linear estimation problems in signal processing and coding theory, Jean Barbier

 

Job:

• Job: Postdoc positions ERC Advanced Grant A-DATADRIVE-B, KU Leuven Belgium CSJobs: Postdocs / PhDs / internships opportunities, Saclay, France

 

 

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.