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MoNo's innovative approach to optimal transport ensures stable latent spaces, preventing token collapse and enabling efficient learning of long-range physical interactions in PDEs.
Decoupling nuclei detection and classification in histopathology unlocks significant performance gains in pathology foundation models while drastically reducing the number of trainable parameters.