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researcher

David Dohan

Google Brain

16 papers hereh-index 2450k citations73 works total

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

author position
  • middle author7
  • last author2

Across the 9 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.LG5
  • q-bio.BM2
  • cs.CV1
  • cs.PL1
affiliations
  • Google Brain

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedPopulation-Based Black-Box Optimization for Biological Sequence Design

93 citations · 192 across the 11 of their papers we have counts for

collaborators
Showing q-bio.BMShow all

2 papers · 1 filter

q-bio.BM2020★ 33 cited

Is Transfer Learning Necessary for Protein Landscape Prediction?

Amir Shanehsazzadeh, David Belanger, David Dohan

Recently, there has been great interest in learning how to best represent proteins, specifically with fixed-length embeddings. Deep learning has become a popular tool for protein r…

q-bio.BM2020

Fixed-Length Protein Embeddings using Contextual Lenses

Amir Shanehsazzadeh, David Belanger, David Dohan

The Basic Local Alignment Search Tool (BLAST) is currently the most popular method for searching databases of biological sequences. BLAST compares sequences via similarity defined…

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