Peyton Greenside

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 10

Top Topics

Feature Interactions

Physicochemical Properties

Top Venues

Publications

Natalie Maus, Yimeng Zeng, Daniel Allen Anderson, Phillip Maffettone, Aaron Solomon, Peyton Greenside, Osbert Bastani, Jacob R. Gardner
Inverse Protein Folding Using Deep Bayesian Optimization. CoRR (2023)
Samuel Stanton, Wesley J. Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. ICML (2022)
Samuel Stanton, Wesley J. Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. CoRR (2022)
Vivek Myers, Peyton Greenside
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data. CoRR (2020)
Peyton Greenside, Justin M. Zook, Marc Salit, Madeleine L. Cule, Ryan Poplin, Mark A. DePristo
CrowdVariant: a crowdsourcing approach to classify copy number variants. PSB (2019)
Peyton Greenside, Maureen Hillenmeyer, Anshul Kundaje
Prediction of protein-ligand interactions from paired protein sequence motifs and ligand substructures. PSB (2018)
Peyton Greenside, Tyler Shimko, Polly Fordyce, Anshul Kundaje
Discovering epistatic feature interactions from neural network models of regulatory DNA sequences. Bioinform. 34 (17) (2018)
Avanti Shrikumar, Peyton Greenside, Anshul Kundaje
Learning Important Features Through Propagating Activation Differences. CoRR (2017)
Avanti Shrikumar, Peyton Greenside, Anshul Kundaje
Learning Important Features Through Propagating Activation Differences. ICML (2017)
Avanti Shrikumar, Peyton Greenside, Anna Shcherbina, Anshul Kundaje
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences. CoRR (2016)