Luke Van Roekel

According to our database, Luke Van Roekel authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach.

Yixuan Sun, Olaperi Yeside Sowunmi, Romain Egele, Sri Hari Krishna Narayanan, Luke Van Roekel, Prasanna Balaprakash

CoRR, 2024

Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates.

Yixuan Sun, Elizabeth Cucuzzella, Steven Brus, Sri Hari Krishna Narayanan, Balasubramanya T. Nadiga, Luke Van Roekel, Jan Hückelheim, Sandeep Madireddy, Patrick Heimbach

Proceedings of the Platform for Advanced Scientific Computing Conference, 2024

2023

Surrogate Neural Networks to Estimate Parametric Sensitivity of Ocean Models.

Yixuan Sun, Elizabeth Cucuzzella, Steven Brus, Sri Hari Krishna Narayanan, Balu Nadiga, Luke Van Roekel, Jan Hückelheim, Sandeep Madireddy

CoRR, 2023

2021

In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes.

Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan M. Urban

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

In Situ Climate Modeling for Analyzing Extreme Weather Events.

Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan M. Urban

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks.

Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021