2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
SPTM-16: Graph Topology Inference |
| Session Type: Poster |
| Time: Thursday, 10 June, 14:00 - 14:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Santiago Segarra, Rice University |
| SPTM-16.1: NETWORK TOPOLOGY INFERENCE WITH GRAPHON SPECTRAL PENALTIES |
| T. Mitchell Roddenberry; Rice University |
| Madeline Navarro; Rice University |
| Santiago Segarra; Rice University |
| SPTM-16.2: NETWORK TOPOLOGY CHANGE-POINT DETECTION FROM GRAPH SIGNALS WITH PRIOR SPECTRAL SIGNATURES |
| Chiraag Kaushik; Rice University |
| T. Mitchell Roddenberry; Rice University |
| Santiago Segarra; Rice University |
| SPTM-16.3: ONLINE TIME-VARYING TOPOLOGY IDENTIFICATION VIA PREDICTION-CORRECTION ALGORITHMS |
| Alberto Natali; Delft University of Technology |
| Mario Coutino; Delft University of Technology |
| Elvin Isufi; Delft University of Technology |
| Geert Leus; Delft University of Technology |
| SPTM-16.4: GRAPH LEARNING UNDER SPECTRAL SPARSITY CONSTRAINTS |
| Subbareddy Batreddy; Indian Institute of Technology, Hyderabad and Swinburne university of technology |
| Aditya Siripuram; Indian Institute of Technology, Hyderabad |
| Jingxin Zhang; Swinburne University of Technology |
| SPTM-16.5: A GRAPH LEARNING ALGORITHM BASED ON GAUSSIAN MARKOV RANDOM FIELDS AND MINIMAX CONCAVE PENALTY |
| Tatsuya Koyakumaru; Keio University |
| Masahiro Yukawa; Keio University |
| Eduardo Pavez; University of Southern California |
| Antonio Ortega; University of Southern California |
| SPTM-16.6: FIGLEARN: FILTER AND GRAPH LEARNING USING OPTIMAL TRANSPORT |
| Matthias Minder; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Zahra Farsijani; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Dhruti Shah; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Mireille El Gheche; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Pascal Frossard; Ecole Polytechnique Fédérale de Lausanne (EPFL) |