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 (IEEE BigData, 2021)

In Situ Climate Modeling for Analyzing Extreme Weather Events. - Soumya Dutta; Natalie Klein; Li Tang 007; Jonathan David Wolfe; Luke Van Roekel; James Joseph Benedict; Ayan Biswas; Earl Lawrence; Nathan M. Urban (ISAV@SC, 2021)

In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes. - Michael Grosskopf; Earl Lawrence; Ayan Biswas; Li Tang 007; Kelin Rumsey; Luke Van Roekel; Nathan M. Urban (ISAV@SC, 2021)

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)

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 (PASC, 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)

Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting. - Guang Zhao; Xihaier Luo; Seungjun Lee; Yihui Ren 001; Shinjae Yoo; Luke Van Roekel; Balu Nadiga; Sri Hari Krishna Narayanan; Yixuan Sun; Wei Xu 020 (CoRR, 2025)