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Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science
Tokens are discrete representations that allow modern deep learning to scale by transforming high-dimensional data into sequences that can be efficiently learned, generated, and generalized to new tasks. While foundational for image and video generation, the application of tokens to physical simulat
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