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the experimental foundation and enables quantitative evaluation. Representation learning with physics-guided data augmentation and adaptation: Design of self-supervised learning strategies to learn shared and
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(LIG), a 450-member laboratory with teaching faculty, full-time researchers, PhD students, administrative and technical staff. The mission of LIG is to contribute to the development of fundamental
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