Publications

18 Results
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Deep Learning for Parameterized Dynamical Systems

Weekly seminar at Yonsei University

Kookjin Lee

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws

35th AAAI conference on Artificial Intelligence

Kookjin Lee, Kevin Carlberg

https://www.osti.gov/search/identifier:1848048

Conference Poster – 2021 Conference Poster 2021

Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws

35th AAAI conference on Artificial Intelligence

Kookjin Lee

https://www.osti.gov/search/identifier:1840096

Conference Presentation – 2021 Conference Presentation 2021

Deep Conservation: A latent dynamics model for exact satisfaction of physical conservation laws

35th AAAI conference on Artificial Intelligence

Kookjin Lee, Kevin Carlberg

https://www.osti.gov/search/identifier:1877797

Conference Paper – 2020 Conference Paper 2020

DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation

35th AAAI conference on Artificial Intelligence

Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park

https://www.osti.gov/search/identifier:1836905

Conference Paper – 2020 Conference Paper 2020

Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems

Kookjin Lee, Eric Joshua Parish

https://www.osti.gov/search/identifier:1706214

Report – 2020 Report 2020

Predictive Skill of Deep Learning Models Trained on Limited Sequence Data

Cosmin Safta, Kookjin Lee, Jaideep Ray

https://www.osti.gov/search/identifier:1688570

SAND Report – 2020 SAND Report 2020

Alternating Energy Minimization Methods For Multi-term Matrix Equations

SIAM Journal on Scientific Computing

Kookjin Lee, Howard Elman, Catherine Powell, Dongeun Lee

Journal Article – 2020 Journal Article 2020

Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients

2019 IEEE International Conference on Big Data

Kookjin Lee, Nasheen Nur, Noseong Park, Hyunjoong Kang, Soonhyeon Kwon

https://www.osti.gov/search/identifier:1643290

Conference Paper – 2019 Conference Paper 2019

Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders

Elsevier Journal of Computational Physics

Kookjin Lee, Kookjin Lee, Kevin Carlberg, Kevin Carlberg

https://www.osti.gov/search/identifier:1574441

Journal Article – 2019 Journal Article 2019

Deep Conservation: A latent dynamics model for exact satisfaction of physical conservation laws

Kookjin Lee, Kevin Carlberg

https://www.osti.gov/search/identifier:1569346

Report – 2019 Report 2019

Breaking Kolmogorov-width barriers using deep learning

Physics-Informed Machine Learning

Kevin Thomas Carlberg, Kookjin Lee

Conference Paper – 2019 Conference Paper 2019

Nonlinear model reduction: Using machine learning to enable rapid simulation of extreme-scale physics models

Stanford ICME Xpo

Kevin Thomas Carlberg, Kookjin Lee

https://www.osti.gov/search/identifier:1645297

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders

Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification

Kevin Thomas Carlberg, Kookjin Lee

Abstract – 2019 Abstract 2019

Inexact Methods For Symmetric Stochastic Eigenvalue Problems

SIAM Conference on Computational Science and Engineering

Kookjin Lee, Bedrich Sousedik

https://www.osti.gov/search/identifier:1602123

Conference Paper – 2019 Conference Paper 2019

Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders

Journal of Computational Physics

Kevin Thomas Carlberg, Kookjin Lee

https://www.osti.gov/search/identifier:1581987

Journal Article – 2019 Journal Article 2019

Model reduction for nonlinear dynamical systems using deep convolutional autoencoders

Bay Area Scientific Computing Day 2018

Kookjin Lee, Kevin Thomas Carlberg

https://www.osti.gov/search/identifier:1761319

Conference Paper – 2018 Conference Paper 2018

Inexact Methods For Symmetric Stochastic Eigenvalue Problems

SIAM/ASC Journal of Uncertainty Quantification

Kookjin Lee, Bedrich (UMBC) Sousedik

https://www.osti.gov/search/identifier:1498483

Journal Article – 2018 Journal Article 2018
Document Title Type Year