Nuit Blanche in Review (February 2017)

Since the last Nuit Blanche in Review (January 2017), we've had quite a few exciting implementations, several in-depth papers, one thesis, some activity on the conference front, four Machine Learning meetups in Paris (and a newsletter), two jobs opening and a few videos. Enjoy !

Implementations

• Wasserstein GAN - implementation -
• Learning to learn by gradient descent by gradient descent - implementation -
• Robust Phase Retrieval with the Swept Approximate Message Passing (prSAMP) Algorithm - implementation -

In-depth

• Phase Transitions in Oblivious Compressed Sensing
• The Rare Eclipse Problem on Tiles: Quantised Embeddings of Disjoint Convex Sets
• Automatic Parameter Tuning for Image Denoising with Learned Sparsifying Transforms
• Learning to Invert: Signal Recovery via Deep Convolutional Networks
• Deep Learning to Hash: HashNet and DHN
• The Power of Sparsity in Convolutional Neural Networks
• Randomness in Neural Networks: An Overview
• A Random Matrix Approach to Neural Networks
• Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks / BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs
• Wasserstein Training of Restricted Boltzmann Machines

Thesis

• Thesis: Sparse Grids for Big Data: Exploiting Parsimony for Large-Scale Learning by Valeriy Khakhutskyy

Conferences:

• ICLR 2017 workshop track open review
• The ICLR2017 program is out
• Videos: #NIPS2016 Workshop on Adversarial Training
• Saturday Morning Videos: #NIPS 2016 Workshop on Advances in Approximate Bayesian Inference

Paris Machine Learning Meetups

• Ce soir: Paris Machine Learning Hors Serie #8 Season 4: Azure Machine Learning
• Ce soir: Paris Machine Learning, Hors serie #7 Season 4: Machine Learning for Arts, Gene Kogan
• Ce soir: Paris Machine Learning #6 season 4, Symbolic AI, Recommendations & Naïve Bayes
• Today: Paris Machine Learning, Hors série #5 Season 6: : See.4C Spatio-temporal Series Hackathon

Job

• CSJob: Research internship opening at MERL, Compressive radar imaging and large-scale optimization, Cambridge, MA, USA
• Jobs: Two Lecturer positions in Data Science at Macquarie University, Sydney, Australia

Videos:

• Saturday Morning Videos: Interactive Learning workshop, Simons Institute, Berkeley
• Videos: #NIPS2016 Workshop on Adversarial Training
• Saturday Morning Videos: Oxford Deep NLP 2017 course
• Saturday Morning Videos: #NIPS 2016 Workshop on Advances in Approximate Bayesian Inference

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