MLSP-L4: Generative Adversarial Networks |
| Session Type: Lecture |
| Time: Thursday, 7 May, 11:30 - 13:30 |
| Location: On-Demand |
| Virtual Session: View on Virtual Platform |
| Session Chairs: David Miller, Penn State University and Raviv Raich, Oregon State University |
| MLSP-L4.1: UNIFIED SIGNAL COMPRESSION USING GENERATIVE ADVERSARIAL NETWORKS |
| Bowen Liu; University of Michigan |
| Ang Cao; University of Michigan |
| Hun-Seok Kim; University of Michigan |
| MLSP-L4.2: WIND: WASSERSTEIN INCEPTION DISTANCE FOR EVALUATING GENERATIVE ADVERSARIAL NETWORK PERFORMANCE |
| Panagiotis Dimitrakopoulos; University of Ioannina |
| Giorgos Sfikas; University of Ioannina |
| Christophoros Nikou; University of Ioannina |
| MLSP-L4.3: TRACE NORM GENERATIVE ADVERSARIAL NETWORKS FOR SENSOR GENERATION AND FEATURE EXTRACTION |
| Shuai Zheng; Hitachi America Ltd |
| Chetan Gupta; Hitachi America Ltd |
| MLSP-L4.4: MAHALANOBIS DISTANCE BASED ADVERSARIAL NETWORK FOR ANOMALY DETECTION |
| Yubo Hou; Institute for Infocomm Research |
| Zhenghua Chen; Institute for Infocomm Research |
| Min Wu; Institute for Infocomm Research |
| Chuan-Sheng Foo; Institute for Infocomm Research |
| Xiaoli Li; Institute for Infocomm Research |
| Raed Shubair; Massachusetts Institute of Technology |
| MLSP-L4.5: COMMUTING CONDITIONAL GANS FOR MULTI-MODAL FUSION |
| Siddharth Roheda; North Carolina State University |
| Hamid Krim; North Carolina State University |
| Benjamin S. Riggan; University of Nebraska-Lincoln |
| MLSP-L4.6: SEQUENCE-TO-SUBSEQUENCE LEARNING WITH CONDITIONAL GAN FOR POWER DISAGGREGATION |
| Yungang Pan; Shandong University |
| Ke Liu; Shandong University |
| Zhaoyan Shen; Shandong University |
| Xiaojun Cai; Shandong University |
| Zhiping Jia; Shandong University |