G-7: Machine Learning and Hardware Aspects |
| Session Type: Virtual |
| Time: Tuesday, November 02, 11:15 - 12:45 |
| Location: Room 6 |
| Virtual Session: Attend on Virtual Platform |
| Session Chair: Joe Cavallaro, Rice University |
| G-7.1: “MR Q-Learning” Algorithm for Efficient Hardware Implementations |
| Gian Carlo Cardarilli; University of Rome Tor Vergata |
| Luca Di Nunzio; University of Rome Tor Vergata |
| Rocco Fazzolari; University of Rome Tor Vergata |
| Daniele Giardino; University of Rome Tor Vergata |
| Dario Natale; University of Rome Tor Vergata |
| Marco Re; University of Rome Tor Vergata |
| Sergio Spanò; University of Rome Tor Vergata |
| G-7.3: Improving Robustness In Analog Neural Networks By Introducing Sparse Connectivity |
| Devon Janke; Georgia Institute of Technology |
| David Anderson; Georgia Institute of Technology |
| G-7.4: Real-time FPGA-Based Outlier Detection using Autoencoder and LSTM |
| Nadya Mohamed; Rice University |
| Joseph Cavallaro; Rice University |