SUMIN PARK
SUMIN PARK

Interested in Geometric Deep Neural Networks and Their Phyiscal Applications

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  • ALL (180)
  • PAPERS
    Convolutional Neural Networks (6) Transformer (3) Optimization (2) Representation (1) Object Detection (5) Generative Models (1) Graph Neural Networks (10)
  • DL
    Deep Learning Specialization (6) cs231n (Stanford) (7) Signals & Systems (9)
  • ML
    CS229 (4) Optimization (9) Information Theory (1) Reinforcement Learning (1) Spectral Graph Theory (1)
  • PHYSICS
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  • MATH
    Vector Calculus (5) Linear Algebra (29) Multivariate Calculus (11) Tensor Calculus (1) Differential Equation (1) Differential Geometry (2) Matlab (2)
  • STATISTICS
    Various Topics (14) Statistics for Application (MIT 18.650) (4)
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[MIT 18.650 04] Fisher Information to Measure Curvature of MLE

Lectures Provided from MIT OpenCourseWare Statistics for Applications, Fall 2016 Contains the topics disccused from...

2023, Mar 04   —  1 minute read

[MIT 18.650 03] Maximum Likelihood Estimation (MLE)

Lectures Provided from MIT OpenCourseWare Statistics for Applications, Fall 2016 Contains the topics disccused from...

2023, Mar 03   —  1 minute read

[MIT 18.650 02] Parametric Inference of Identifiable Estimate

Lectures Provided from MIT OpenCourseWare Statistics for Applications, Fall 2016 Contains the topics disccused from...

2023, Mar 02   —  1 minute read

[MIT 18.650 01] Introductory Statistical Modeling of Sample Cases

Lectures Provided from MIT OpenCourseWare Statistics for Applications, Fall 2016 Contains the topics disccused from...

2023, Mar 01   —  1 minute read