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Alexander New
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2020 – today
- 2024
- [i16]Alexander New, Nam Q. Le, Michael J. Pekala, Christopher D. Stiles:
Self-supervised learning for crystal property prediction via denoising. CoRR abs/2408.17255 (2024) - [i15]Alexander New, Marisel Villafañe-Delgado, Charles Shugert:
Equation identification for fluid flows via physics-informed neural networks. CoRR abs/2408.17271 (2024) - 2023
- [j2]Megan M. Baker
, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (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 - [i14]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i13]Alexander New, Michael J. Pekala, Elizabeth A. Pogue, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles
Evaluating the diversity and utility of materials proposed by generative models. CoRR abs/2309.12323 (2023) - [i12]Victor J. Leon, Noah Ford, Honest Mrema, Jeffrey Gilbert, Alexander New:
Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows. CoRR abs/2311.00060 (2023) - [i11]Noah Ford, Victor J. Leon, Honest Mrema, Jeffrey Gilbert, Alexander New:
Data-efficient operator learning for solving high Mach number fluid flow problems. CoRR abs/2311.16860 (2023) - 2022
- [c5]Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon:
Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling. IJCNN 2022: 1-9 - [i10]Alexander New, Megan M. Baker, Eric Q. Nguyen, Gautam K. Vallabha:
Lifelong Learning Metrics. CoRR abs/2201.08278 (2022) - [i9]Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs, Chigozie S. Ewulum, Chace Ashcraft, Neil M. Fendley, Megan M. Baker, Alexander New, Gautam K. Vallabha:
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment. CoRR abs/2203.07454 (2022) - [i8]Corban G. Rivera, Chace Ashcraft, Alexander New, James Schmidt, Gautam K. Vallabha
Latent Properties of Lifelong Learning Systems. CoRR abs/2207.14378 (2022) - [i7]Alexander New, Michael J. Pekala, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles
Curvature-informed multi-task learning for graph networks. CoRR abs/2208.01684 (2022) - [i6]David Witman, Alexander New, Hicham Alkendry, Honest Mrema:
Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations. CoRR abs/2208.01687 (2022) - [i5]Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon:
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling. CoRR abs/2209.05245 (2022) - [i4]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) - 2020
- [j1]Alexander New
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. IEEE J. Biomed. Health Informatics 24(3): 916-925 (2020)
2010 – 2019
- 2019
- [c4]Alexander New
Semantically-targeted analytics for reproducible scientific discovery. AIDR 2019: 2:1-2:4 - [c3]Xiao Shou
Supervised Mixture Models for Population Health. BIBM 2019: 1057-1064 - [c2]Alexander New, Miao Qi, Shruthi Chari, Sabbir M. Rashid, Oshani Seneviratne, Jamie P. McCusker, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett:
Automating Population Health Studies Through Semantics and Statistics. SAWSemStats@ISWC 2019 - 2018
- [c1]Alexander New
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. IJCNN 2018: 1-8 - [i3]Alexander New, Curt M. Breneman, Kristin P. Bennett:
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. CoRR abs/1802.02500 (2018) - [i2]Alexander New, Kristin P. Bennett:
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. CoRR abs/1808.04880 (2018) - [i1]Alexander New
Semantically-aware population health risk analyses. CoRR abs/1811.11190 (2018)
Coauthor Index
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