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Found 2 papers, 2 papers with code
Hierarchical Causal Models
Scientists often want to learn about cause and effect from hierarchical data, collected from subunits nested inside units.
ProGen2: Exploring the Boundaries of Protein Language Models
Attention-based models trained on protein sequences have demonstrated incredible success at classification and generation tasks relevant for artificial intelligence-driven protein design.
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