Search Results for author: Anna M. Hiszpanski

Found 3 papers, 0 papers with code

Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions

no code implementations27 May 2022 Evan R. Antoniuk, Peggy Li, Bhavya Kailkhura, Anna M. Hiszpanski

Our results illustrate how the incorporation of chemical intuition through directly encoding periodicity into our polymer graph representation leads to a considerable improvement in the accuracy and reliability of polymer property predictions.

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design

no code implementations16 Jul 2020 Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, T. Yong-Jin Han

The scientific community has been increasingly interested in harnessing the power of deep learning to solve various domain challenges.

Actionable Attribution Maps for Scientific Machine Learning

no code implementations30 Jun 2020 Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, T. Yong-Jin Han

The scientific community has been increasingly interested in harnessing the power of deep learning to solve various domain challenges.

BIG-bench Machine Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.