Video Materials 2022 IEEE -SPS / EURASIP Summer School: Data and Graph Driven Learning for Communications and Signal Processing – September 5 – 9, Banjaluka, Bosnia and Herzegovina Ljubisa Stankovic: Understanding the Basis of Graph Convolutional Neural Networks viaan Intuitive Matched Filtering Approach Geert Leus: Signal Processing and Machine Learning on Graphs. Part 1 Geert Leus: Signal Processing and Machine Learning on Graphs. Part 2 Petar Popovski: Statistical Learning For Ultra-Reliable Low Latency Communications Georgios Giannakis: Ensemble Gaussian Processes for Online Learning with Application to IoT. Part 1 Georgios Giannakis: Ensemble Gaussian Processes for Online Learning with Application to IoT. Part 2 Mateos Gonzalo: Connecting the Dots: Learning Graphs from Data – Part 1 Mateos Gonzalo: Connecting the Dots: Learning Graphs from Data – Part 2 Dejan Vukobratovic: Gaussian Belief Propagation: From Theory to Applications Geoffrey Ye Li: Deep Learning for Communications Paolo Banelli: “Goal-oriented wireless communications for edge-assisted machine learning”
