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Found 5 papers, 0 papers with code
Learning Koopman Operators with Control Using Bi-level Optimization
The accurate modeling and control of nonlinear dynamical effects are crucial for numerous robotic systems.
Expanding the Latent Space of StyleGAN for Real Face Editing
Recently, a surge of face editing techniques have been proposed to employ the pretrained StyleGAN for semantic manipulation.
Generating Topological Structure of Floorplans from Room Attributes
In this paper, we propose to extract topological information from room attributes using what we call Iterative and adaptive graph Topology Learning (ITL).
PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement
A Physics-Informed Dynamic Graph Neural Network (PIDGeuN) is presented to accurately, efficiently and robustly predict the nonlinear transient dynamics of microgrids in the presence of disturbances.
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning
To overcome the challenge, we propose MARLSafe, the first robustness testing framework for c-MARL algorithms.
