Nuit Blanche in Review (July 2018 - April 2019)

** Nuit Blanche is now on Twitter: @NuitBlog **

The last Nuit Blanche in Review was back on July 9th, 2018 and much has happened as regards to LightOn as we raised $3M+ in December and are looking forward to make our technology more available to the Machine Learning community. Coming to this place, Nuit Blanche is back !

I think one of the most interesting theoretical development has the ability to study nonlinearities in Deep Learning thanks in part to the work of Jeffrey Pennington as featured here before. Some of the papers that cite his work are featured in this review and bring much freshness to the field. In other news, Nuit Blanche is also on Twitter at this address @NuitBlog. In the meantime, here is what happened for the past few months here in this 66th Nuit Blanche in Review, enjoy !

Implementations

• Manopt 5.0, toolbox release: Optimization on Manifolds: - implementation -
• SPORCO: Convolutional Dictionary Learning - implementation -
• Rank Minimization for Snapshot Compressive Imaging - implementation -

In-depth:

• Data-Driven Design for Fourier Ptychographic Microscopy
• Quantifying entanglement in a 68-billion dimensional quantum system
• Neumann Networks for Inverse Problems in Imaging
• Beyond Thunderspline: Mad Max: Affine Spline Insights into Deep Learning/ From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference
• Phase Retrieval Under a Generative Prior
• Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections
• Why are Big Data Matrices Approximately Low Rank?
• Eigenvalue distribution of nonlinear models of random matrices
• Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections
• A Neural Architecture for Bayesian CompressiveSensing over the Simplex via Laplace Techniques

LightOn

• LightOn: Forward We Go !
• Shedding Light on the “Grand Débat”

Hardware: 

• CSHardware: Development of sparse coding and reconstruction subsystems for astronomical imaging, João Rino-Silvestre
• Ghost imaging with the human eye

CfPs:

• CfP: Khipu 2019: Latin American Meeting in Artificial Intelligence, Montevideo, Uruguay, November 11-15th, 2019
• CfP: 2019 Conference on Mathematical Theory of Deep Neural Networks (DeepMath 2019)
• CfP: Call for Papers: Special Issue on Information Theory Applications in Signal Processing

References: 

• Book: High-Dimensional Probability An Introduction with Applications in Data Science by Roman Vershynin
• Highly Technical Reference Page: The Rice University Compressive Sensing page.
• #ICML2018 Tutorial: Toward theoretical understanding of deep learning, Sanjeev Arora

Videos: 

• Saturday Morning Videos: Statistical Modeling for Shapes and Imaging, 11 March 2019 - 15 March 2019, IHP
• Videos: New Deep Learning Techniques, February 5 - 9, 2018, IPAM Workshop
• Videos: Sublinear Algorithms and Nearest-Neighbor Search workshop, Nov. 27 – Nov. 30, 2018 (Simon Institute and Kavli Foundation)
• Video: Robust and High-Dimensional Statistics workshop - Oct. 29 – Nov. 2, 2018, (Simon Institute and Kavli Foundation)
• Video: Randomized Numerical Linear Algebra and Applications Workshop - Sep. 24 – Sep. 27, 2018, (Simon Institute and Kavli Foundation)
• Videos: Foundations of Data Science Boot Camp workshop, Aug. 27 – Aug. 31, 2018 (Simon Institute and Kavli Foundation)
• Videos: Variational Methods and Optimization in Imaging, at IHP Paris, February 4th – 8th , 2019
• Ce soir Paris Machine Learning #6 Season 6: Adversarial Attacks, ML in Production, XAI, Photo Editing
• Ce soir, Paris Machine Learning #5 season 6: Explainable AI, Unity Challenge, Ethical AI
• The 100th Paris Machine Learning meetup tonight: La revanche des neurones, DL on Healthrecords, Search-Oriented Conversational AI, Nanotechnology and electricity consumption
• Paris ML E#2 S#6: Conscience, Code Analysis, Can a machine learn like a child?
• Paris Machine Learning #1 S6 at Vente-Privée
• Sunday Morning Video (in french): Les travaux de Grothendieck.sur les espaces de Banach, Gilles. Pisier (Lectures grothendieckiennes)
• WiMLDS and Paris Machine Learning meetup Hors série #1: Scalable Automatic Machine Learning with H2O with Erin Ledell
• “And we’re back for Season 6” Paris Machine Learning Newsletter, September 2018 (in French)

Jobs:

• Job: Postdoctoral Researcher in Small Data Deep Learning and Explainable Machine Learning, Livermore, CA
• CSJob: PhD and Postdoc positions KU Leuven: Optimization frameworks for deep kernel machines

Follow @NuitBlog or join the CompressiveSensing Reddit, the Facebook page, the Compressive Sensing group on LinkedIn  or the Advanced Matrix Factorization group on LinkedIn

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About myself: LightOn || Google Scholar || LinkedIn ||@IgorCarron ||Homepage||ArXiv