WE3.SC1.2
Physics-guided Graph Convolutional Deep Equilibrium Network for Environmental Data
Esther Rodrigo-Bonet, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium
Session:
WE3.SC1: Distributed Sensing and Learning for Autonomous Systems Lecture
Track:
Special Sessions
Location:
Saint Clair 1
Presentation Time:
Wed, 28 Aug, 16:30 - 16:50 France Time (UTC +2)
Session Co-Chairs:
Raj Thilak Rajan, Delft University of Technology and Usman A. Khan, Tufts University
Presentation
Discussion
Resources
No resources available.
Session WE3.SC1
WE3.SC1.1: Hierarchical Time-of-Arrival Self-Calibration using Robust Receiver Distance Averaging
Malte Larsson, Viktor Larsson, Carl Olsson, Magnus Oskarsson, Lund University, Sweden
WE3.SC1.2: Physics-guided Graph Convolutional Deep Equilibrium Network for Environmental Data
Esther Rodrigo-Bonet, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium
WE3.SC1.3: Nonconvex Multitask Learning over Networks
Stefan Vlaski, Imperial College London, United Kingdom; Roula Nassif, Université Côte d'Azur, France
WE3.SC1.4: MALLEABLE KERNEL INTERPOLATION FOR SCALABLE STRUCTURED GAUSSIAN PROCESS
Hanyuan Ban, Ellen H. J. Riemens, Raj Thilak Rajan, Delft University of Technology, Netherlands