Nuit Blanche in Review ( September 2015 )

 

What happened since the last Nuit Blanche in Review ( August 2015 ) ?: Well besides knowing that liquid water has been found on Mars. We had a few implementations made available by their authors (and we are getting close to 400 such implementation since we started mentioning them here). We had three theses (congratulations to the new Ph.Ds), a few in-depth posts. We also started the Anomaly Detection tag,  have seen some discussions on Group Testing, found a new highly technical reference page, a new book, an interesting dataset, some jobs, a few videos and the presentations of the Season 3's first Paris Machine Learning Meetup. Enjoy !

Implementations

• Parametric Bilinear Generalized Approximate Message Passing
• Entropy-Scaling Search of Massive Biological Data
• Tensorizing Neural Networks
• Thesis: Fusion of Sparse Reconstruction Algorithms in Compressed Sensing
• Discovering governing equations from data: Sparse identification of nonlinear dynamical systems
• CSPDEs: Compressed-sensing based approximation of solutions to high-dimensional operator equations
• ASimCo: Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning
• LSS: Learning the Structure for Structured Sparsity

Theses

• Thesis: Unsupervised Feature Learning in Computer Vision by Rostislav Goroshin
• Thesis: Hashing for Large-Scale Structured Data Classification, Lianhua Chi 
• Thesis: Fusion of Sparse Reconstruction Algorithms in Compressed Sensing, Sooraj K. Ambat- implementation -

CS/MF/RandNLA

• Sparsity-based Ankylography for Recovering 3D molecular structures from single-shot 2D scattered light intensity
• CORSING : A theoretical study of COmpRessed SolvING for advection-diffusion-reaction problems
• Dictionary Learning for Blind One Bit Compressed Sensing
• A Theory of Super-Resolution from Short-Time Fourier Transform Measurements 
• Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization

 

Hardware

• FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation

 

ML

• Training Deep Networks with Structured Layers by Matrix Backpropagation
• Metric Learning: Random Projections and Deep Learning Style 
• Train faster, generalize better: Stability of stochastic gradient descent
• Learning Deep $\ell_0$ Encoders
• NIPS 2015 Accepted Papers: Some Preprints 
• Steps Toward Deep Kernel Methods from Infinite Neural Networks

 

Anomaly Detection

• Anomaly Detection in High Dimensional Data: Hyperspectral data, movies and more...
• Anomaly Detection in Computer Systems using Compressed Measurements

Group Testing

• Group Testing and SAFFRON
• Phase Transitions in Group Testing
• A comment on "Phase Transitions in Group Testing "

LSH

• Locality-sensitive Hashing without False Negatives
• Practical and Optimal LSH for Angular Distance

Highly Technical Site

• A new Highly Technical Reference Page: Probabilistic-Programming.org

Book

• Book: Information Entropy and their Geometric Structures

Dataset

• Data: MindBigData, the "MNIST" of Brain Digits 

 

 

Jobs:

• Jobs: Center for Advanced Mathematics for Energy Research Applications (CAMERA)
• CSjob: PostDoc, Novel Algorithms and Signal Processing, ASTRON & IBM, The Netherlands
• CSJob: PostDoc, Adaptive antenna processing correcting the decoherence effects induced by the fluctuations of the propagating media, Brest, Brittany, France

Videos:

• Saturday Morning Video: Deep Learning and Convolutional Neural Networks, Yann LeCun, Hot Chips 27
• Saturday Morning Videos: Visualizing and Understanding Recurrent Networks, Andrej Karpathy/ Developing better drugs with Deep Learning, Jeffrey Ng/ GPU Software Platform for Deep Learning, Jeremy Appleyard
• Saturday Morning Videos: IPAM workshop on Computational Photography and Intelligent Cameras
• Saturday Morning Videos: Videos and Slides, Deep Learning Summer School, Montreal 2015

Other

• "...Under Certain Circumstances, Liquid Water Has Been Found on Mars..."
•  Talking Machine Season 2 on Kickstarter: Human Conversation about Machine Learning

Paris Machine Learning Meetup

• Tonight: Paris Machine Learning #1 Season 3: "September, When Did That Happen ?"

 

Image credit: NASA/JPL-Caltech/UCLA/MPS/DLR/IDA
This image, taken by NASA's Dawn spacecraft, shows the surface of dwarf planet Ceres from an altitude of 915 miles (1,470 kilometers). The image was taken on August 24, 2015, and has a resolution of 450 feet (140 meters) per pixel.

 

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