Erin Antono

According to our database, Erin Antono authored at least 4 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

Machine-learned metrics for predicting the likelihood of success in materials discovery.

Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling

CoRR, 2019

Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization.

Zachary del Rosario, Yoolhee Kim, Matthias Rupp, Erin Antono, Julia Ling

CoRR, 2019

2017

Overcoming data scarcity with transfer learning.

Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons, Sean Paradiso, Julia Ling, Bryce Meredig

CoRR, 2017

Building Data-driven Models with Microstructural Images: Generalization and Interpretability.

Julia Ling, Maxwell Hutchinson, Erin Antono, Brian DeCost, Elizabeth A. Holm, Bryce Meredig

CoRR, 2017