TP4a.3

Stochastic Sparse Bipartite Graph Convergence via the Line-Graphon

Roxanne Holden, Luana Ruiz, Johns Hopkins University, United States
Session:
TP4a: Learning and Inference over Sensor-Driven Networks Lecture
Track:
Array Processing and Multisensor Systems
Location:
Room 4
Presentation Time:
Tue, 27 Oct, 14:20 - 14:45 PT (UTC -7)
Session Chair:
Zhiyang Wang, Washington University of St. Louis, United States
Presentation
Discussion
Resources
No resources available.
Session TP4a
TP4a.1: Encoding Frequencies Without Fourier: Hyperdimensional Computing for Lightweight Learning over Sensor Networks
Brandan Sanchez, Jesus Sebastian Reyes, Raul Vargas, Xiaofan Yu, University of California Merced, United States
TP4a.2: Manifold Learning for Multi-Modal Integrated Sensing and Communications in Vehicular Networks
Jia Yan, Hong Kong University of Science and Technology (Guangzhou), China; Tong Wu, University of Central Florida, United States; Hang Liu, University of Macau, Macao SAR of China
TP4a.3: Stochastic Sparse Bipartite Graph Convergence via the Line-Graphon
Roxanne Holden, Luana Ruiz, Johns Hopkins University, United States
TP4a.4: PRiCE: A Two-Expert Hybrid Model for Outage Forecasting over Sensor Networks
Shourya Bose, Tomas Kaljevic, Yu Zhang, UC SANTA CRUZ, United States
Contacts