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Andrew S. Gearhart
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2020 – today
- 2023
- [c6]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: 1-8 - 2022
- [c5]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. Image Processing 2022 - [i2]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 abs/2210.07880 (2022) - 2021
- [i1]Miller Wilt, Jordan K. Matelsky, Andrew S. Gearhart:
Scatterbrained: A flexible and expandable pattern for decentralized machine learning. CoRR abs/2112.07718 (2021)
2010 – 2019
- 2019
- [c4]Daniel M. Kelly, Christopher C. Wellons, Joel Coffman, Andrew S. Gearhart:
Automatically Validating the Effectiveness of Software Diversity Schemes. DSN (Supplements) 2019: 1-2 - 2018
- [c3]Joel Coffman, Aurin Chakravarty, Joshua A. Russo, Andrew S. Gearhart:
Quantifying the Effectiveness of Software Diversity using Near-Duplicate Detection Algorithms. MTD@CCS 2018: 1-10 - [c2]Andrew S. Gearhart, Peter A. Hamilton, Joel Coffman:
An Analysis of Automated Software Diversity Using Unstructured Text Analytics. DSN Workshops 2018: 79-80 - 2016
- [c1]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: 15-26
Coauthor Index
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