Implementations
Hardware:
In-depth:- Deep Learning and Inverse Problems
- On Principal Components Regression, Random Projections, and Column Subsampling
- Lazy stochastic principal component analysis / Near Optimal Sketching of Low-Rank Tensor Regression
- Second-Order Optimization for Non-Convex Machine Learning, FLAG, GIANT and Non-Convex Optimization Under Inexact Hessian
- Deep Null Space, Deep Factorization and the Last Image of Cassini
- Random Subspace with Trees for Feature Selection Under Memory Constraints / Learning Mixture of Gaussians with Streaming Data
- Random Subspace with Trees for Feature Selection Under Memory Constraints / Learning Mixture of Gaussians with Streaming Data
- Modeling random projection for tensor objects
- Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed Sensing / Cell Detection with Deep Convolutional Neural Network and Compressed Sensing / Exploit imaging through opaque wall via deep learning
Meetings/Meetups/CfP
- Paris Machine Learning #1 Season 5: Code Mining, Mangas, Drug Discovery, Open Law, RAMP
- NIPS 2017 accepted papers
- CfP: "Tensor Image Processing" in Signal Processing: Image Communcation, 2018.
- Videos: Montreal AI Symposium
- Saturday Morning Videos: Cognitive Computational Neuroscience (CCN) 2017
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