RSS Amplifier

Video feed

Mathematics of data: Structured representations for sensing, approximation and learning

youtube.com ↗Source feed ↗10 videos

Subscribe:.rss.atom.json.md

Dormant Last read · last published · next check
Read 3 days ago and current, but nothing has been published for 7 years.

Written by

Latest videos

Saves to your Watch queue, to pick up on another day or another device.

Nonlinear approximation by deep ReLU networks - Ron DeVore, Texas A&M

Play

Two decentralised learning problems: Sketching and policy evaluation - Justin Romberg, Georgia Tech

Play

Clustering and classification from the core to the edge - Thomas Strohmer, California University

Play

The mother of all representer theorems for inverse problems & machine learning - Michael Unser

Play

From shallow to deep learning for inverse imaging problems - Carola-Bibiane Schönlieb, Cambridge

Play

SketchySVD - Joel Tropp, California Institute of Technology

Play

Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure

Play

On the (unreasonable) effectiveness of compressive imaging – Ben Adcock, Simon Fraser University

Play

Deep dictionary learning approaches for image super-resolution - Pier Luigi Dragotti, Imperial

Play

Mad Max: Affine spline insights into deep learning - Richard Baraniuk, Rice University

Play