Compressed sensing and optimal perceptron learning: Some ideas based on heuristic iteration

Published 2019-10-04

Recommendations

Similar videos

1:35:27

F Krzakala Compressed Sensing, Neural Networks, Machine Learning I July 10
18:36

Optimization Algorithms :Literature Review on Nature Inspired Hybrid Optimization Algorithm
1:33:00

F Krzakala Compressed Sensing, Neural Networks, Machine Learning IV July 14
47:30

Beyond the Patterns 27 - Luis Pineda - Active MR k-space Sampling with Reinforcement Learning
14:25

Modeling Sparse Deviations for Compressed Sensing using Generative Models0
1:00:12

Michael Mahoney: "Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks"
56:02

Practical Learning Algorithms for Structured Prediction
55:59

Florent Krzakala | Generative models are the new sparsity
44:57

Known Operator Learning - Towards Integration of Prior Knowledge into Machine Learning
12:24

Genetic Algorithm in Artificial Intelligence in Hindi | Simplest Explanation with real life examples
2:34:24

Machine Learning And Wireless Communications- ICASSP2020 Tutorial
1:04:32

Seminar: Neuroevolution Trajectories and Landscapes
45:18

Yue Lu: "Spectral Methods for High Dimensional Inference"
2:00:03

Sparsity in Neural Networks (Brains@Bay Meetup)
1:06:40

The Interpolation Phase Transition in Neural Networks: Memorization and Generalization Lazy Training
1:23:05

SNAPP Seminar || Andrea Montanari (Stanford University) || August 10, 2020
59:18

Andrea Montanari -Mean field methods in high-dimensional statistics and non-convex optimization- 1/3
1:14:24

Signal Processing Using the Multilayer Perceptron | Chapter 2 Handbook of Neural Network
56:42

Lenka Zdeborova: Algorithms in high-dimensional non-convex landscapes
More results