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Luke Van Roekel
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 6
Top Topics
Gaussian Process
Top Venues
CoRR
ISAV@SC
IEEE BigData
PASC
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Publications
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Yixuan Sun
,
Elizabeth Cucuzzella
,
Steven Brus
,
Sri Hari Krishna Narayanan
,
Balasubramanya T. Nadiga
,
Luke Van Roekel
,
Jan Hückelheim
,
Sandeep Madireddy
,
Patrick Heimbach
Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates.
PASC
(2024)
Yixuan Sun
,
Olaperi Yeside Sowunmi
,
Romain Egele
,
Sri Hari Krishna Narayanan
,
Luke Van Roekel
,
Prasanna Balaprakash
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach.
CoRR
(2024)
Yixuan Sun
,
Elizabeth Cucuzzella
,
Steven Brus
,
Sri Hari Krishna Narayanan
,
Balu Nadiga
,
Luke Van Roekel
,
Jan Hückelheim
,
Sandeep Madireddy
Surrogate Neural Networks to Estimate Parametric Sensitivity of Ocean Models.
CoRR
(2023)
Soumya Dutta
,
Natalie Klein
,
Li Tang
,
Jonathan David Wolfe
,
Luke Van Roekel
,
James Joseph Benedict
,
Ayan Biswas
,
Earl Lawrence
,
Nathan Urban
In Situ Climate Modeling for Analyzing Extreme Weather Events.
ISAV@SC
(2021)
Michael Grosskopf
,
Earl Lawrence
,
Ayan Biswas
,
Li Tang
,
Kelin Rumsey
,
Luke Van Roekel
,
Nathan Urban
In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes.
ISAV@SC
(2021)
Divya Banesh
,
Nishant Panda
,
Ayan Biswas
,
Luke Van Roekel
,
Diane Oyen
,
Nathan Urban
,
Michael Grosskopf
,
Jonathan David Wolfe
,
Earl Lawrence
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks.
IEEE BigData
(2021)