196 citations · 910 across the 20 of their papers we have counts for
6 papers · 1 filter
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen, Chen Liang, Adams Wei Yu +2
Despite achieving tremendous success, existing deep learning models have exposed limitations in compositional generalization, the capability to learn compositional rules and apply…
Line Failure Localization of Power Networks Part II: Cut Set Outages
Linqi Guo, Chen Liang, Alessandro Zocca +2
Transmission line failure in power systems prop-agate non-locally, making the control of the resulting outages extremely difficult. In Part II of this paper, we continue the study…
Adaptive Network Response to Line Failures in Power Systems
Chen Liang, Linqi Guo, Alessandro Zocca +2
Transmission line failures in power systems propagate and cascade non-locally. In this work, we propose an adaptive control strategy that offers strong guarantees in both the mitig…
Line Failure Localization of Power Networks Part I: Non-cut Outages
Linqi Guo, Chen Liang, Alessandro Zocca +2
Transmission line failures in power systems propagate non-locally, making the control of the resulting outages extremely difficult. In this work, we establish a mathematical theory…
An Integrated Approach for Failure Mitigation & Localization in Power Systems
Chen Liang, Linqi Guo, Alessandro Zocca +3
The transmission grid is often comprised of several control areas that are connected by multiple tie lines in a mesh structure for reliability. It is also well-known that line fail…
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real, Chen Liang, David R. So +1
Machine learning research has advanced in multiple aspects, including model structures and learning methods. The effort to automate such research, known as AutoML, has also made si…