Study Groups

ITN WindMill - Reading group


Updated: 25.06.2020

Date Presenter Topic Reading Supplement
26.03.2020 Anay Deshpande Resource Management in Wireless Networks via Multi-Agent Deep RL
09.04.2020 Matteo Zecchin,
Shirin Goshtasbpour
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Prsentation:
15.04.2020 Sergey Tambovskiy Deep Gaussian Processes for Multi-fidelity Modelling Paper:
Seminar recording:
30.04.2020 Dariush Salami PointNet and PointNet+ Paper 1:
Paper 2:
13.05.2020 Muhammad A. Jadoon Deep RL for multiple access in wireless networks Paper: Presentation:
28.05.2020 Shirin Goshtasbpour Uniform convergence may be unable to explain generalization in deep learning Paper: Presentation:
10.06.2020 Salman Mohebi Deep reinforcement learning approach for radio resource scheduling Papers:
25.06.2020 Stanley Wu Multi-Agent Deep Reinforcement Learning For Distributed Handover Management In Dense mmWave Networks Papers:
11.11.2020 Salman Mohebi Ubiquitous Cell-free Massive MIMO Communications Papers:,