Concepedia

Devin Willmott

DW

6

Publications

147

Citations

6

H-Index

2017

Active since

Affiliations

Carnegie Mellon University(Current)

Robert Bosch (United States)

University of Massachusetts Amherst

Amazon (United States)

University of Kentucky

Devin Willmott is an author at Carnegie Mellon University specializing in deep learning, engineering, and machine learning.

Top concepts

EngineeringDeep LearningMachine LearningData ScienceComputer ScienceArtificial IntelligenceAdversarial Machine LearningRna BiologyData PrivacyBioinformatics

Publications per year

2017–2021

6

Publications

6

Multiplicative Filter Networks

Rizal Fathony, Anit Kumar Sahu, Devin Willmott et al. · 2021 · 32 citations

Geometric Learning, Convolutional Neural Network, Engineering +21

Improving RNA secondary structure prediction via state inference with deep recurrent neural networks

Devin Willmott, David Murrugarra, Qiang Ye · Computational and Mathematical Biophysics · 2020 · 28 citations · Full text

Structured Prediction, Engineering, Machine Learning +18

Black-box Adversarial Attacks with Bayesian Optimization

Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott et al. · arXiv (Cornell University) · 2019 · 25 citations · Full text

Artificial Intelligence, Data Augmentation, Engineering +12

Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes

Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott et al. · 2021 · 24 citations

Artificial Intelligence, Black-box Adversarial Attacks, Engineering +12

A community-powered search of machine learning strategy space to find NMR property prediction models

Lars Andersen Bratholm, W. Gerrard, Brandon Anderson et al. · PLoS ONE · 2021 · 23 citations · Full text

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