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Research Interests

  • Model order reduction
  • Closed-loop feedback control systems
  • Physics-informed / data-driven models for solving partial differential equations
  • Deep learning in computer vision

Top Langs

Yongho Kim's Projects

csvd icon csvd

Clustered Singular Value Decomposition (cSVD)

cur icon cur

Dimensionality reduction using CUR decomposition

deepkmeans icon deepkmeans

Deep k-means (Autoencoder + k-means clustering)

disturbvalue icon disturbvalue

DisturbValue: a regularization method for regressioin tasks

dolfin_navier_scipy icon dolfin_navier_scipy

python module for extracting the system matrices of the fenics fem discretization of (linearized) Navier-Stokes equations and feeding back computed data for visualization

fcnn icon fcnn

Five-point stencil Convolutional Neural Networks (FCNNs)

hfm icon hfm

Hidden Fluid Mechanics

icae icon icae

individual convolutional autoencoders (iCAEs) for low-dimensional parametrization

pinns icon pinns

Physics-informed neural networks (PINNs)

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