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University of Electronic Science and Technology of China
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Automating rank determination in tensor-based neural networks could revolutionize their application in complex physics simulations.
Unlock the potential of continuous tensor representations with neural operators, achieving more faithful representations of complex real-world data and outperforming classic discrete and continuous tensor methods.
