Andrew S. Gearhart

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 8

Top Topics

Registration Parameters

Root Mean Square

Machine Learning

Ordinary Differential Equations

Top Venues

Publications

Alexander New, Benjamin Eng, Andrea C. Timm, Andrew S. Gearhart
Tunable complexity benchmarks for evaluating physics-informed neural networks on coupled ordinary differential equations. CISS (2023)
Rahul Hingorani, Nicole L. Brown, Christopher M. Cervantes, Robert H. Brown, Andrew S. Gearhart
On characterizing the sensitivity of lung computed tomography biomarkers to registration error. Medical Imaging: Image Processing (2022)
Alexander New, Benjamin Eng, Andrea C. Timm, Andrew S. Gearhart
Tunable Complexity Benchmarks for Evaluating Physics-Informed Neural Networks on Coupled Ordinary Differential Equations. CoRR (2022)
Miller Wilt, Jordan K. Matelsky, Andrew S. Gearhart
Scatterbrained: A flexible and expandable pattern for decentralized machine learning. CoRR (2021)
Daniel M. Kelly, Christopher C. Wellons, Joel Coffman, Andrew S. Gearhart
Automatically Validating the Effectiveness of Software Diversity Schemes. DSN (Supplements) (2019)
Andrew S. Gearhart, Peter A. Hamilton, Joel Coffman
An Analysis of Automated Software Diversity Using Unstructured Text Analytics. DSN Workshops (2018)
Joel Coffman, Aurin Chakravarty, Joshua A. Russo, Andrew S. Gearhart
Quantifying the Effectiveness of Software Diversity using Near-Duplicate Detection Algorithms. MTD@CCS (2018)
Joel Coffman, Daniel M. Kelly, Christopher C. Wellons, Andrew S. Gearhart
ROP Gadget Prevalence and Survival under Compiler-based Binary Diversification Schemes. SPRO@CCS (2016)