| Lifelong learning metrics A New, M Baker, E Nguyen, G Vallabha arXiv preprint arXiv:2201.08278, 2022 | 20 | 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 | 14 | 2023 |
| L2explorer: A lifelong reinforcement learning assessment environment EC Johnson, EQ Nguyen, B Schreurs, CS Ewulum, C Ashcraft, ... arXiv preprint arXiv:2203.07454, 2022 | 11 | 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 | 9 | 2019 |
| Semantically-aware population health risk analyses A New, SM Rashid, JS Erickson, DL McGuinness, KP Bennett arXiv preprint arXiv:1811.11190, 2018 | 9 | 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 | 7 | 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 | 6 | 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 | 5* | 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 | 5 | 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 | 4 | 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 | 2 | 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 | 2 | 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 | 2 | 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 | 1 | 2019 |
| Automating Population Health Studies Through Semantics and Statistics. A New, M Qi, S Chari, SM Rashid, O Seneviratne, JP McCusker, ... SAWSemStats@ ISWC, 2019 | 1 | 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 | | 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 | | 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 | | 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 | | 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 | | 2023 |
