Publications
Publication | Type | Year |
---|---|---|
Identifying Governing ODEs in Irregular Physical Domain with Diffusion64th Annual Meeting of the APS Division of Plasma Physics
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Abstract – 2022 Abstract | 2022 |
An autoencoder based reduced order model of low density plasma for optimal experimental designAPS Division of Plasma Physics
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Abstract – 2022 Abstract | 2022 |
Continuum semiconductor physics model compression via Data-driven Discrete Exterior Calculus8th European Congress on Computational Methods in Applied Sciences and Engineering
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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
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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 |
Machine learning of Physics-Informed Graph Neural Networks from TCAD modelsMechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (IACM conference) 2021
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Conference Presentation – 2021 Conference Presentation | 2021 |
Machine learning surrogates of high-fidelity electrical modelsREHEDS External 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 |
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 |
Multiscale training for Physics-informed Neural NetworksCopper Mountain Conference On Multigrid Methods |
Conference Presentation – 2021 Conference Presentation | 2021 |
A block coordinate descent optimizer for classification problems exploiting convexityAaai-mlps 2021 |
Conference Paper – 2021 Conference Paper | 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 |
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 |
Control volume PINNs: a method for solving inverse problems with hyperbolic PDEsCRUNCH seminar |
Presentation (non-conference) – 2021 Presentation (non-conference) | 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 |
Learning continuum-scale models from micro-scale dynamics via Operator Regression14th World Congress in Computational Mechanics |
Conference Presentation – 2020 Conference Presentation | 2020 |
PDE discovery with machine learningUniversity of New Mexico Applied Math Seminar
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Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
Robust Training and Initialization of Deep Neural Networks An Adaptive Basis ViewpointPrinceton MSML meeting |
Conference Paper – 2020 Conference Paper | 2020 |
Robust training and initialization of deep neural networks: an adaptive basis viewpoint2020 Siam-caims An20 |
Conference Paper – 2020 Conference Paper | 2020 |
A block coordinate descent optimizer for classification problems exploiting convexityArxiv |
Journal Article – 2020 Journal Article | 2020 |
A physics-informed operator regression framework for extracting data-driven continuum modelsArxiv |
Journal Article – 2020 Journal Article | 2020 |
Document Title | Type | Year |