Nuit Blanche in Review (May 2017)

Credit; NASA, SwRI / MSSS / Seán Doran  125MB photo of Jupiter is here. 

Since the last Nuit Blanche in Review (April 2017), we have had to wonder about The Desperate Researchers of Computer Vision. We also featured, five implementations, several in-depth articles, three theses, two Highly Technical Reference Pages, some ML Hardware, a few Machine Learning videos (and two Paris Machine Learning meetups). and more...Enjoy !

Implementations

• Concrete Dropout
• A Semismooth Newton Method for Fast, Generic Convex Programming 
• DEvol - Automated deep neural network design with genetic programming
• DeepArchitect: Automatically Designing and Training Deep Architectures
• Spectral Ergodicity in Deep Learning Architectures via Surrogate Random Matrices

In-depth

• Relaxed Wasserstein with Applications to GANs
• The High-Dimensional Geometry of Binary Neural Networks
• Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
• Short and Deep: Sketching and Neural Networks
• Soft Recovery With General Atomic Norms
• Guaranteed recovery of quantum processes from few measurements / Improving compressed sensing with the diamond norm
• Speckle-based hyperspectral imaging combining multiple scattering and compressive sensing in nanowire mats

Thesis

• Thesis (Honors): Improved Genomic Selection using VowpalWabbit with Random Fourier Features, Jiaqin Jaslyn Zhang
• Thesis: Robust Low-rank and Sparse Decomposition for Moving Object Detection: From Matrices to Tensors by Andrews Cordolino Sobral
• Thesis: Fast Algorithms on Random Matrices and Structured Matrices by Liang Zhao

Highly Technical Reference Page

• Highly Technical Reference Page: "the GAN Zoo" and "Delving deep into Generative Adversarial Networks (GANs)"
• Highly Technical Reference page on Neural Networks in silicon.

ML Hardware

• A 2.9 TOPS/W Deep Convolutional Neural Network SoC in FD-SOI 28nm for Intelligent Embedded Systems (and a Highly Technical Reference page on Neural Networks in silicon.)

Jobs:

• Jobs: Four Engineering positions at NVIDIA

Paris Machine Learning

• Paris Machine Learning Hors Série #12: Deep Learning and Classification of Pollinating Insects
• Paris Machine Learning Meetup #9 Season 4 @ IHP, Bias, Ethics & Fair Algorithms

ML video

• Video: "Can the brain do back-propagation?" Goeff Hinton
• Sunday Morning Videos: Deep Learning and Artificial Intelligence symposium at NAS 154th Annual Meeting
• Saturday Morning Videos: Computational Challenges in Machine Learning, Simons Institute, May 1 – May 5, 2017

Meeting

• SPARS 2017: The program is out !

Video

• Saturday Morning Video: Juno's Perijove 06 Flyby reconstructed by Gerald Eichstädt and Seán Doran

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