Model Based Deep Learning - Applications to Imaging and Communications - Yonina Eldar
Alan Turing Institute via YouTube
Overview
Syllabus
Intro
The Deep Learning Revolution
Challenges
Model Based Signal Processing
Motivation: Symbol Detection
Deep Symbol Detection
Model-Based vs. Deep Learning
Data Driven Hybrid Algorithms
DUBLID: Deep Unrolling for Blind Deblurring
Deep Unfolding with Normalizing Flow Priors
DL for Clutter Suppression
Deep Adaptive Beamforming
Super Resolution Microscopy
SPARCOM Recovery
SPARCOM: Super Resolution Correlation Microscopy
SUSHI: Sparsity-Based Ultrasound Super- resolution Hemodynamic Imaging
Rationale
Viterbi Algorithm
Factor Graph Methods
Taught by
Alan Turing Institute