Alexander New
Cited by
Cited by
Lifelong learning metrics
A New, M Baker, E Nguyen, G Vallabha
arXiv preprint arXiv:2201.08278, 2022
A domain-agnostic approach for characterization of lifelong learning systems
MM Baker, A New, M Aguilar-Simon, Z Al-Halah, SMR Arnold, ...
Neural Networks 160, 274-296, 2023
L2explorer: A lifelong reinforcement learning assessment environment
EC Johnson, EQ Nguyen, B Schreurs, CS Ewulum, C Ashcraft, ...
arXiv preprint arXiv:2203.07454, 2022
A precision environment-wide association study of hypertension via supervised cadre models
A New, KP Bennett
IEEE Journal of Biomedical and Health Informatics 24 (3), 916-925, 2019
Semantically-aware population health risk analyses
A New, SM Rashid, JS Erickson, DL McGuinness, KP Bennett
arXiv preprint arXiv:1811.11190, 2018
Cadre modeling: Simultaneously discovering subpopulations and predictive models
A New, C Breneman, KP Bennett
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Supervised mixture models for population health
X Shou, G Mavroudeas, A New, K Arhin, JN Kuruzovich, M Magdon-Ismail, ...
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
Closed-loop superconducting materials discovery
EA Pogue, A New, K McElroy, NQ Le, MJ Pekala, I McCue, E Gienger, ...
npj Computational Materials 9 (1), 181, 2023
Tunable complexity benchmarks for evaluating physics-informed neural networks on coupled ordinary differential equations
A New, B Eng, AC Timm, AS Gearhart
2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-8, 2023
Neural basis functions for accelerating solutions to high mach euler equations
D Witman, A New, H Alkendry, H Mrema
arXiv preprint arXiv:2208.01687, 2022
Deep Learning Models to Identify Common Phases across Material Systems from X-ray Diffraction
NQ Le, M Pekala, A New, EB Gienger, C Chung, TJ Montalbano, ...
The Journal of Physical Chemistry C 127 (44), 21758-21767, 2023
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling
BS Robinson, CW Lau, A New, SM Nichols, EC Johnson, M Wolmetz, ...
arXiv preprint arXiv:2209.05245, 2022
Curvature-informed multi-task learning for graph networks
A New, MJ Pekala, NQ Le, J Domenico, CD Piatko, CD Stiles
arXiv preprint arXiv:2208.01684, 2022
Semantically-targeted analytics for reproducible scientific discovery
A New, S Chari, M Qi, SM Rashid, JS Erickson, DL McGuinness, ...
Proceedings of the Conference on Artificial Intelligence for Data Discovery …, 2019
Automating Population Health Studies Through Semantics and Statistics.
A New, M Qi, S Chari, SM Rashid, O Seneviratne, JP McCusker, ...
SAWSemStats@ ISWC, 2019
Data-efficient operator learning for solving high Mach number fluid flow problems
N Ford, VJ Leon, H Merman, J Gilbert, A New
arXiv preprint arXiv:2311.16860, 2023
Evaluating AI-guided Design for Scientific Discovery
M Pekala, EA Pogue, K McElroy, A New, G Bassen, B Wilfong, ...
AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023
Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows
VJ Leon, N Ford, H Mrema, J Gilbert, A New
arXiv preprint arXiv:2311.00060, 2023
Rapid Prediction of Two-Dimensional Airflow in an Operating Room using Scientific Machine Learning
GL Collins, A New, RA Darragh, BE Damit, CD Stiles
NeurIPS 2023 AI for Science Workshop, 2023
Evaluating the diversity and utility of materials proposed by generative models
A New, M Pekala, EA Pogue, NQ Le, J Domenico, CD Piatko, CD Stiles
arXiv preprint arXiv:2309.12323, 2023
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