Kelli D. Humbird

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 10

Top Topics

Manifold Alignment

Transfer Learning

Multilayer Perceptron

Top Venues

Stat. Anal. Data Min.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations. CoRR (2022)
Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models. CoRR (2022)
Kelli D. Humbird, Jayson Luc Peterson
Transfer learning driven design optimization for inertial confinement fusion. CoRR (2022)
Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements. CoRR (2021)
Kelli D. Humbird, J. Luc Peterson, J. Salmonson, Brian K. Spears
Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data. CoRR (2021)
Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
Deep Neural Network Initialization With Decision Trees. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
Parameter inference with deep jointly informed neural networks. Stat. Anal. Data Min. 12 (6) (2019)
Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
Transfer learning to model inertial confinement fusion experiments. CoRR (2018)
Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
Predicting the time-evolution of multi-physics systems with sequence-to-sequence models. CoRR (2018)
Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
Deep Jointly-Informed Neural Networks. CoRR (2017)