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Peyton Greenside

3 papers · 2017–2025 · 2 conferences · across top CS/AI conferences

Achievements

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🌍 Conference Polyglot (2) 🏃 Academic Marathon (8) 🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer

🐣 Hot Topic Early Bird

Conferences

ICML (2) ICLR (1)

Top co-authors

Andrew Gordon Wilson (2) Nate Gruver (2) Samuel Stanton (1) Phillip Maffettone (1) Calvin McCarter (1) Avanti Shrikumar (1) Yucen Lily Li (1) Wesley Maddox (1) Hunter Elliott (1) Emily Delaney (1)

Keywords

feature attribution (1) deep learning (1) gaussian process (1) bayesian optimization (1) multi-objective optimization (1) denoising autoencoder (1) latent space optimization (1) biological sequence design (1) neural network (1) activation difference (1)

Papers

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences ICLR 2025 Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders ICML 2022 Learning Important Features Through Propagating Activation Differences ICML 2017