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Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling.

, , , , , , and . IJCNN, page 1-9. IEEE, (2022)

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Automating Population Health Studies Through Semantics and Statistics., , , , , , , , and . SAWSemStats@ISWC, volume 2549 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models., , and . IJCNN, page 1-8. IEEE, (2018)Curvature-informed multi-task learning for graph networks., , , , , and . CoRR, (2022)Data-efficient operator learning for solving high Mach number fluid flow problems., , , , and . CoRR, (2023)Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations., , , and . CoRR, (2022)Tunable complexity benchmarks for evaluating physics-informed neural networks on coupled ordinary differential equations., , , and . CISS, page 1-8. IEEE, (2023)Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling., , , , , , and . CoRR, (2022)Semantically-targeted analytics for reproducible scientific discovery., , , , , , and . AIDR, page 2:1-2:4. ACM, (2019)Supervised Mixture Models for Population Health., , , , , , and . BIBM, page 1057-1064. IEEE, (2019)Semantically-aware population health risk analyses., , , , and . CoRR, (2018)