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Multi-fidelity power flow solver
We propose a multi-fidelity neural network (MFNN) tailored for rapid high-dimensional grid power flow simulations and contingency analysis with scarce high-fidelity contingency data.
MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems
The task of developing a machine learning (ML) model for a particular problem is inherently open-ended, and there is an unbounded set of possible solutions.
Understanding Mobile GUI: from Pixel-Words to Screen-Sentences
A dataset, RICO-PW, of screenshots with Pixel-Words annotations is built based on the public RICO dataset, which will be released to help to address the lack of high-quality training data in this area.
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