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Generative Model for Constructing Reaction Path from Initial to Final States
Given their inherent complexity and nonlinearity, even generating a initial guess of these paths remains a challenging problem.
Neural Multi-scale Image Compression
This study presents a new lossy image compression method that utilizes the multi-scale features of natural images.
A Deep-Learning Approach for Operation of an Automated Realtime Flare Forecast
Automated forecasts serve important role in space weather science, by providing statistical insights to flare-trigger mechanisms, and by enabling tailor-made forecasts and high-frequency forecasts.
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