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Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics

arXiv:2602.15253v1 Announce Type: cross Abstract: Neural scaling laws -- power-law relationships between loss, model size, and data -- have been extensively documented for language and vision transformers, yet their existence in single-cell genomics remains largely unexplored....

🔗 Read more: https://arxiv.org/abs/2602.15253

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