Peyton Greenside

According to our database1, Peyton Greenside authored at least 8 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Inverse Protein Folding Using Deep Bayesian Optimization.
CoRR, 2023

2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders.
Proceedings of the International Conference on Machine Learning, 2022

2020
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data.
CoRR, 2020

2019
CrowdVariant: a crowdsourcing approach to classify copy number variants.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018
Discovering epistatic feature interactions from neural network models of regulatory DNA sequences.
Bioinform., 2018

Prediction of protein-ligand interactions from paired protein sequence motifs and ligand substructures.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017
Learning Important Features Through Propagating Activation Differences.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences.
CoRR, 2016


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