Greenside, Peyton

6 publications

ICLR 2025 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

ICLRW 2024 Antibody Design with Constrained Bayesian Optimization Yimeng Zeng, Hunter Elliott, Phillip Maffettone, Peyton Greenside, Osbert Bastani, Jacob R. Gardner

NeurIPSW 2024 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yucen Lily Li, Yilun Kuang, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

ICLRW 2024 Generative Humanization for Therapeutic Antibodies Cade W Gordon, Aniruddh Raghu, Peyton Greenside, Hunter Elliott

ICML 2022 Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton, Wesley Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson

ICML 2017 Learning Important Features Through Propagating Activation Differences Avanti Shrikumar, Peyton Greenside, Anshul Kundaje