Jayson Luc Peterson

Orcid: 0000-0002-5167-5708

According to our database1, Jayson Luc Peterson authored at least 18 papers between 2013 and 2023.

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Bibliography

2023
A multifidelity Bayesian optimization method for inertial confinement fusion design.
CoRR, 2023

2022
Enabling machine learning-ready HPC ensembles with Merlin.
Future Gener. Comput. Syst., 2022

Transfer learning driven design optimization for inertial confinement fusion.
CoRR, 2022

2021
The data-driven future of high-energy-density physics.
Nat., 2021

Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data.
CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.
CoRR, 2021


2020
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.
IEEE Trans. Vis. Comput. Graph., 2020

2019
Deep Neural Network Initialization With Decision Trees.
IEEE Trans. Neural Networks Learn. Syst., 2019

Parameter inference with deep jointly informed neural networks.
Stat. Anal. Data Min., 2019

Merlin: Enabling Machine Learning-Ready HPC Ensembles.
CoRR, 2019

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018
Transfer learning to model inertial confinement fusion experiments.
CoRR, 2018

Predicting the time-evolution of multi-physics systems with sequence-to-sequence models.
CoRR, 2018

2017
Ensemble simulations of inertial confinement fusion implosions.
Stat. Anal. Data Min., 2017

Deep Jointly-Informed Neural Networks.
CoRR, 2017

2016
A HYDRA UQ Workflow for NIF Ignition Experiments.
Proceedings of the Second Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2016

2013
Positivity Preservation and Advection Algorithms with Applications to Edge Plasma Turbulence.
SIAM J. Sci. Comput., 2013


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