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Ryan N. King
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 8
Top Topics
Independence Assumption
Parameter Space
Generic Model
Autoregressive
Top Venues
CoRR
J. Comput. Phys.
ACC
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Publications
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Brandon N. Benton
,
Grant Buster
,
Pavlo Pinchuk
,
Andrew Glaws
,
Ryan N. King
,
Galen Maclaurin
,
Ilya Chernyakhovskiy
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine.
CoRR
(2024)
Malik Hassanaly
,
Peter J. Weddle
,
Ryan N. King
,
Subhayan De
,
Alireza Doostan
,
Corey R. Randall
,
Eric J. Dufek
,
Andrew M. Colclasure
,
Kandler Smith
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model.
CoRR
(2023)
Malik Hassanaly
,
Peter J. Weddle
,
Ryan N. King
,
Subhayan De
,
Alireza Doostan
,
Corey R. Randall
,
Eric J. Dufek
,
Andrew M. Colclasure
,
Kandler Smith
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model.
CoRR
(2023)
Subhayan De
,
Malik Hassanaly
,
Matthew J. Reynolds
,
Ryan N. King
,
Alireza Doostan
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets.
CoRR
(2022)
Malik Hassanaly
,
Andrew Glaws
,
Karen Stengel
,
Ryan N. King
Adversarial sampling of unknown and high-dimensional conditional distributions.
J. Comput. Phys.
450 (2022)
Malik Hassanaly
,
Andrew Glaws
,
Ryan N. King
GANISP: a GAN-assisted Importance SPlitting Probability Estimator.
CoRR
(2021)
Malik Hassanaly
,
Andrew Glaws
,
Karen Stengel
,
Ryan N. King
Adversarial sampling of unknown and high-dimensional conditional distributions.
CoRR
(2021)
Christiane Adcock
,
Ryan N. King
Data-Driven Wind Farm Optimization Incorporating Effects of Turbulence Intensity.
ACC
(2018)