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ORCIDKelli D. Humbird
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Journal Articles
- 2019
[j2]Kelli D. Humbird
, J. Luc Peterson, Ryan G. McClarren:
Parameter inference with deep jointly informed neural networks. Stat. Anal. Data Min. 12(6): 496-504 (2019)- [j1]Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Deep Neural Network Initialization With Decision Trees. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1286-1295 (2019)
Informal and Other Publications
- 2022
- [i8]Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird:
Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models. CoRR abs/2203.00853 (2022) - [i7]Kelli D. Humbird, Jayson Luc Peterson:
Transfer learning driven design optimization for inertial confinement fusion. CoRR abs/2205.13519 (2022) - [i6]Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird:
Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations. CoRR abs/2205.14520 (2022) - 2021
- [i5]Kelli D. Humbird, J. Luc Peterson, J. Salmonson, Brian K. Spears:
Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data. CoRR abs/2103.10590 (2021) - [i4]Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird:
Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements. CoRR abs/2106.02528 (2021) - 2018
- [i3]Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Predicting the time-evolution of multi-physics systems with sequence-to-sequence models. CoRR abs/1811.05852 (2018) - [i2]Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Transfer learning to model inertial confinement fusion experiments. CoRR abs/1812.06055 (2018) - 2017
- [i1]Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Deep Jointly-Informed Neural Networks. CoRR abs/1707.00784 (2017)
Coauthor Index
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