27 citations · 27 across the 3 of their papers we have counts for
3 papers
Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested Embeddings
Christian Grashei, Christian Brechenmacher, Rao Muhammad Umer +4
Pathology foundation models (FMs) have driven significant progress in computational pathology. However, these high-performing models can easily exceed a billion parameters and prod…
On subset seeds for protein alignment
Mikhail A. Roytberg, Anna Gambin, Laurent Noé +4
We apply the concept of subset seeds proposed in [1] to similarity search in protein sequences. The main question studied is the design of efficient seed alphabets to construct see…
Efficient seeding techniques for protein similarity search
Mihkail Roytberg, Anna Gambin, Laurent Noé +4
We apply the concept of subset seeds proposed in [1] to similarity search in protein sequences. The main question studied is the design of efficient seed alphabets to construct see…