A-5: Machine Learning for Communications (invited) |
| Session Type: Virtual |
| Time: Monday, November 01, 11:15 - 12:45 |
| Location: Room 1 |
| Virtual Session: Attend on Virtual Platform |
| Session Chairs: Mahdi Boloursaz-Mashhadi, Imperial College London, UK and Deniz Gunduz , Imperial College London, UK |
| A-5.1: Context-Aware Effective Communications |
| Tze-Yang Tung; Imperial College London, IPC Lab |
| Szymon Kobus; Imperial College London, IPC Lab |
| Deniz Gunduz; Imperial College London, IPC Lab |
| A-5.2: Distributed Proximal Policy Optimization for Contention-Based Spectrum Access |
| Akash Doshi; University of Texas at Austin |
| Jeffrey Andrews; University of Texas at Austin |
| A-5.3: Deep Learning for Partial MIMO CSI Feedback by Exploiting Channel Temporal Correlation |
| Yu-Chien Lin; University of California at Davis |
| Ta-Sung Lee; National Yang Ming Chiao Tung University |
| Zhi Ding; University of California at Davis |
| A-5.4: MetaBayes: A Meta-Learning Framework from a Bayesian Perspective |
| Tamara AlShammari; University of Oulu |
| Anis Elgabli; University of Oulu |
| Mehdi Bennis; University of Oulu |