Publications
Publication | Type | Year |
---|---|---|
A Two-Level Scheme for Training Partition of Unity Networks27th International Domain Decomposition Conference
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Conference Presentation – 2022 Conference Presentation | 2022 |
A DPG Space-Time Vlasov-Poisson Discretization with Adaptive Mesh RefinementSIAM Annual
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Neural-Network Based Collision Operators for the Boltzmann EquationSIAM Annual Meeting 2022
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Conference Presentation – 2022 Conference Presentation | 2022 |
Preconditioners for Plasma Physics and Magnetohydrodynamics: Handling Multiple TimescalesPreconditioning 2022International Conference on Preconditioning Techniques for Scientific and Industrial Applications
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Conference Presentation – 2022 Conference Presentation | 2022 |
Parallel-In-Time Training of Recurrent Neural NetworksCopper Mountain Conference on Iterative Methods
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Conference Presentation – 2022 Conference Presentation | 2022 |
Learning an Algebriac Multrigrid Interpolation Operator Using a Modified GraphNet Architecture |
SAND Report – 2022 SAND Report | 2022 |
Coupling Kinetic PIC to Multi-Fluid Plasma Models using Compatible DiscretizationsSIAM Parallel Processing 2022
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Conference Presentation – 2022 Conference Presentation | 2022 |
A DPG Space-Time Vlasov-Poisson Discretization with Adaptive Mesh RefinementSIAM Annual
|
Abstract – 2022 Abstract | 2022 |
Parallel Training of GRU Networks with a Multi-Grid Solver for Long SequencesThe Tenth International Conference on Learning Representations
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Conference Paper – 2022 Conference Paper | 2022 |
A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHDElectronic Transactions on Numerical Analysis
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Journal Article – 2022 Journal Article | 2022 |
Machine learning and spatial decomposition for large CT scansIS&T Electronic Imaging 2022
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Conference Presentation – 2021 Conference Presentation | 2021 |
The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 PlansASC AMLI Program Review
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Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
A Layer-Parallel Approach for Training Deep Neural NetworksMathematical Foundations and Applications of Deep Learning
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Conference Presentation – 2021 Conference Presentation | 2021 |
Modal Operator Regression for Extracting Nonlocal Continuum ModelsUsnccm16
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Conference Presentation – 2021 Conference Presentation | 2021 |
Perfection is the Enemy of Fast: The Case for Mathematically Induced ParallelismComputer Science Research Institute throughout our Summer Seminar Series
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Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
A Layer-Parallel Approach for Training Deep Neural NetworksFomics-dadsi Seminars On Scientific Learning |
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNsFomics-dadsi Seminars On Scientific Learning |
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
An Algebraic Monolithic Method for Volume-coupled Multiphysics ProblemsThe 9th ediiton of the International Conference on Computational Methods for Coupled Problems in Science and Engineering |
Conference Presentation – 2021 Conference Presentation | 2021 |
Multiscale training for Physics-informed Neural NetworksCopper Mountain Conference On Multigrid Methods |
Conference Presentation – 2021 Conference Presentation | 2021 |
A Monolithic Algebraic Multigrid Approach for Coupled Multiphysics Problems using the MueLu FrameworkCm202120th Copper Mountain Conference On Multigrid Methods |
Conference Presentation – 2021 Conference Presentation | 2021 |
Training Deep Neural Networks using Layer-ParallelismCIS EAB Review
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Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
A block coordinate descent optimizer for classification problems exploiting convexityAaai-mlps 2021 |
Conference Paper – 2021 Conference Paper | 2021 |
EMPIRE-PIC: A Performance Portable Unstructured Particle-in-Cell CodeCommunications in Computational Physics |
Journal Article – 2021 Journal Article | 2021 |
A Physics-Informed Operator Regression Framework for Extracting Data-Driven Continuum ModelsSiam Cse21 |
Conference Presentation – 2021 Conference Presentation | 2021 |
Thermodynamically consistent physics-informed neural networks for hyperbolic systemsSIAM Conference on Computational Science and Engineering |
Conference Presentation – 2021 Conference Presentation | 2021 |
Document Title | Type | Year |