Inference-Time Steering Across Scaffolds and Epitopes for Sample-Efficient De Novo Nanobody Design
Inference-time budget allocators raise designable nanobody yield nearly fivefold per GPU-hour.
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Inference-time budget allocators raise designable nanobody yield nearly fivefold per GPU-hour.
Researchers propose Embedded Graph Flows, a generative model with learned categorical embeddings that beats DiGress and GruM on molecular graph benchmarks.
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