Publications
Publication | Type | Year |
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Facilitating Atmospheric Source Inversion via Operator RegressionSIAM Conference on Mathematics of Planet Earth
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Conference Presentation – 2022 Conference Presentation | 2022 |
Facilitating Atmospheric Source Inversion via Deep Operator Network SurrogatesEsco 2022
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Conference Presentation – 2022 Conference Presentation | 2022 |
Error-in-variables modelling for operator learningAIRES Workshop
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Conference Presentation – 2022 Conference Presentation | 2022 |
Error-in-variables modelling for operator learningMsml22
|
Conference Paper – 2022 Conference Paper | 2022 |
Error-in-variables modelling for operator learningMathematical and Scientific Machine Learning 2022 (MSML2022)
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Conference Paper – 2022 Conference Paper | 2022 |
Gaussian Process Regression constrained by Boundary Value ProblemsComputer Methods in Applied Mechanics and Engineering |
Journal Article – 2021 Journal Article | 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 |
A block coordinate descent optimizer for classification problems exploiting convexityAaai-mlps 2021 |
Conference Paper – 2021 Conference Paper | 2021 |
An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNsSIAM Conference on Computational Science and Engineering (CSE21) |
Conference Presentation – 2021 Conference Presentation | 2021 |
Constrained Gaussian Processes: A SurveySIAM Computational Science and Engineering Conference 2021 |
Conference Presentation – 2021 Conference Presentation | 2021 |
Partition of unity networks: data-driven meshfree hp-approximationAAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences |
Conference Paper – 2020 Conference Paper | 2020 |
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation ChallengesJournal of Machine Learning for Modeling and Computing |
Journal Article – 2020 Journal Article | 2020 |
LDRD Project Summary: Incorporating physical constraints into Gaussian process surrogate models |
SAND Report – 2020 SAND Report | 2020 |
Constrained Gaussian Processes: A SurveySIAM Computational Science and Engineering 2021
|
Abstract – 2020 Abstract | 2020 |
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation ChallengesPhILMs Webinar |
Conference Paper – 2020 Conference Paper | 2020 |
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation ChallengesSandia Machine Learning and Deep Learning Workshop Skip to end of banner |
Conference Paper – 2020 Conference Paper | 2020 |
Robust Training and Initialization of Deep Neural Networks An Adaptive Basis ViewpointPrinceton MSML meeting |
Conference Paper – 2020 Conference Paper | 2020 |
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation ChallengesMachine Learning and Deep Learning Conference (Sandia Audience)
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Abstract – 2020 Abstract | 2020 |
Robust training and initialization of deep neural networks: an adaptive basis viewpoint2020 Siam-caims An20 |
Conference Paper – 2020 Conference Paper | 2020 |
A Survey of Constrained Gaussian Process: Approaches and Implementation ChallengesJournal of Machine Learning for Modeling and Computing |
Journal Article – 2020 Journal Article | 2020 |
A block coordinate descent optimizer for classification problems exploiting convexityArxiv |
Journal Article – 2020 Journal Article | 2020 |
Data-driven learning of robust nonlocal physics from high-fidelity synthetic dataArxiv |
Journal Article – 2020 Journal Article | 2020 |
Improved Neural Network Training: Layer-Parallelism, Least-squares and InitializationInternational Workshop On Scientific Machine Learning |
Conference Paper – 2019 Conference Paper | 2019 |
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis ViewpointMathematical and Scientific Machine Learning Conference |
Conference Paper – 2019 Conference Paper | 2019 |
Improved Neural Network Training: Layer-Parallelism, Least-squares and InitializationInternational Workshop on Scientific Machine Learning
|
Abstract – 2019 Abstract | 2019 |
Document Title | Type | Year |