2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

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)