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Samuel D. Stanton

3 papers hereh-index 474 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • q-bio.BM1

identity via Semantic Scholar / OpenAlex

most citedConcept Bottleneck Language Models For protein design

3 citations · 4 across the 2 of their papers we have counts for

collaborators

3 papers

q-bio.BM2026★ 1 cited

Disentangling multispecific antibody function with graph neural networks

Joshua Southern, Changpeng Lu, Santrupti Nerli +4

Multispecific antibodies offer transformative therapeutic potential by engaging multiple epitopes simultaneously, yet their efficacy is an emergent property governed by complex mol…

cs.LG2024★ 3 cited

Concept Bottleneck Language Models For protein design

Aya Abdelsalam Ismail, Tuomas Oikarinen, Amy Wang +8

We introduce Concept Bottleneck Protein Language Models (CB-pLM), a generative masked language model with a layer where each neuron corresponds to an interpretable concept. Our arc…

cs.LG2024

Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks

Angelica Chen, Samuel D. Stanton, Frances Ding +6

Although large language models (LLMs) have shown promise in biomolecule optimization problems, they incur heavy computational costs and struggle to satisfy precise constraints. On…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.