Kelli D. Humbird

According to our database, Kelli D. Humbird authored at least 10 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations.

Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird

CoRR, 2022

Transfer learning driven design optimization for inertial confinement fusion.

Kelli D. Humbird, Jayson Luc Peterson

CoRR, 2022

Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models.

Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird

CoRR, 2022

2021

Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements.

Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird

CoRR, 2021

Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data.

Kelli D. Humbird, J. Luc Peterson, J. Salmonson, Brian K. Spears

CoRR, 2021

2019

Deep Neural Network Initialization With Decision Trees.

Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren

IEEE Trans. Neural Networks Learn. Syst., 2019

Parameter inference with deep jointly informed neural networks.

Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren

Stat. Anal. Data Min., 2019

2018

Transfer learning to model inertial confinement fusion experiments.

Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren

CoRR, 2018

Predicting the time-evolution of multi-physics systems with sequence-to-sequence models.

Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren

CoRR, 2018

2017

Deep Jointly-Informed Neural Networks.

Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren

CoRR, 2017