Taylor Joren
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    • Concept bottleneck language models for protein design
    • Guided Generation of B-cell Receptors with Conditional Walk-Jump Sampling
    • Lab-in-the-loop therapeutic antibody design with deep learning
    • Learning the language of antibody hypervariability
    • Prediction of single-cell RNA expression profiles in live cells by Raman microscopy with Raman2RNA
    • Cramming protein language model training in 24 GPU hours
    • Surface ID: a geometry-aware system for protein molecular surface comparison
    • Interpreting Raman spectra using machine learning: towards a non-invasive method of characterizing single cells
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Concept bottleneck language models for protein design

Apr 1, 2025·
Aya Abdelsalam Ismail
,
Tuomas Oikarinen
,
Amy Wang
,
Julius Adebayo
,
Samuel Stanton
,
Héctor Corrada Bravo
Taylor Joren
Taylor Joren
,
Et Al.
· 0 min read
Type
Conference paper
Publication
International Conference on Learning Representations (ICLR)
Last updated on Jul 12, 2026
Taylor Joren
Authors
Taylor Joren
Senior Machine Learning Scientist

Guided Generation of B-cell Receptors with Conditional Walk-Jump Sampling Apr 1, 2025 →

© 2026 Taylor Joren. This work is licensed under CC BY NC ND 4.0

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