Ryan N. King

14 papers C 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Conditional Diffusion Model for Building Energy Modeling Workflows.
CoRR
Saumya Sinha, Alexandre Cortiella, Rawad El Kontar, Andrew Glaws, Ryan N. King, Patrick Emami
2025 J jnl
Adaptive Computing for Scale-Up Problems.
Comput. Sci. Eng.
Kevin Patrick Griffin, Hilary Egan, Marc T. Henry de Frahan, Juliane Mueller, Deepthi Vaidhynathan, Dylan Wald, Rohit Chintala, Olga A. Doronina, Hariswaran Sitaraman, Ethan Young, Ryan N. King, Jibonananda Sanyal, Marc Day, Ross E. Larsen
2025 J jnl
Designing Future Energy Systems With Generative AI.
Comput. Sci. Eng.
Andrew Glaws, Ryan N. King, Patrick Emami, Grant Buster, Brandon N. Benton, Xiangyu Zhang, Ahmed S. Zamzam, Venkatesh Venkataramanan, Richard Macwan
2024 J jnl
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine.
CoRR
Brandon N. Benton, Grant Buster, Pavlo Pinchuk, Andrew Glaws, Ryan N. King, Galen Maclaurin, Ilya Chernyakhovskiy
2024 J jnl
Tackling extreme urban heat: a machine learning approach to assess the impacts of climate change and the efficacy of climate adaptation strategies in urban microclimates.
CoRR
Grant Buster, Jordan Cox, Brandon N. Benton, Ryan N. King
2023 J jnl
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model.
CoRR
Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith
2023 J jnl
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model.
CoRR
Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith
2022 J jnl
Adversarial sampling of unknown and high-dimensional conditional distributions.
J. Comput. Phys.
Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King
2022 J jnl
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets.
CoRR
Subhayan De, Malik Hassanaly, Matthew J. Reynolds, Ryan N. King, Alireza Doostan
2021 J jnl
Adversarial sampling of unknown and high-dimensional conditional distributions.
CoRR
Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King
2021 J jnl
GANISP: a GAN-assisted Importance SPlitting Probability Estimator.
CoRR
Malik Hassanaly, Andrew Glaws, Ryan N. King
2021 — conf
Visualization of Multi-Fidelity Approximations of Stochastic Economic Dispatch.
e-Energy
Kinshuk Panda, Ryan N. King, Jonathan Maack, Ignas Satkauskas, Kristi Potter
2019 J jnl
A block-random algorithm for learning on distributed, heterogeneous data.
CoRR
Prakash Mohan, Marc T. Henry de Frahan, Ryan N. King, Ray W. Grout
2018 C conf
Data-Driven Wind Farm Optimization Incorporating Effects of Turbulence Intensity.
ACC
Christiane Adcock, Ryan N. King