SUMIN PARK
SUMIN PARK

Interested in Geometric Deep Neural Networks and Their Phyiscal Applications

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2024 © SUMIN PARK

  • 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
    Classical Mechanics (1) Special Relativity (1) Electromagnetism (1)
  • PYTHON
    Algorithms (22) Crawling (3)
  • 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)
  • DATA-ENGINEERING
    Hadoop Ecosystem(5)
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  • TAGS

[Statistics] Derivation of Poisson Distribution with Two Approaches

Derivation of Poisson Distribution with Two Approaches

2023, Feb 20   —  1 minute read

[MIT 18.06 24] Fast Fourier Transform (FFT)

Linear Algebra Lecture from MIT OpenCourseWare 18.06 2010 Spring Lecture 26: Complex matrices; fast fourier...

2023, Feb 20   —  1 minute read

[Statistics] Central Limit Theorem Proof with Moment Generating Function

Central Limit Theorem Proof with Moment Generating Function

2023, Feb 19   —  1 minute read

[MIT 18.02 04] Chain Rule, Gradient and Directional Derivatives

Lectures Provided from MIT OpenCourseWare Multivariable Calculus, Fall 2007 Contains the topics disccused from lecture...

2023, Feb 19   —  1 minute read

[MIT 18.06 23] Symmetric Matrices and Positive Definiteness

Linear Algebra Lecture from MIT OpenCourseWare 18.06 2010 Spring Lecture 25: Symmetric matrices and positive...

2023, Feb 18   —  1 minute read

[Stanford CS229 01] Linear Regression and Gradient Descent

OUTLINES MULTIVARIATE LINEAR REGRESSION BATCH/ STOCHASTIC GRADIENT DESCENT NORMAL EQUATION 1. Multivariate Linear Regression 1.1....

2023, Feb 17   —  5 minute read

[MIT 18.02 03] Tangent Plane Approximation and Optimization with Second Derivatives

Lectures Provided from MIT OpenCourseWare Multivariable Calculus, Fall 2007 Contains the topics disccused from lecture...

2023, Feb 17   —  1 minute read

[MATLAB] Gram-Schmidt A = QR Factorization

MATLAB code for A = QR Factorization Gram-Schmidt Creates orthogonal columns from independent set of...

2023, Feb 17   —  2 minute read

[MIT 18.06 22] Marcov Matrix and Fourier Series

Linear Algebra Lecture from MIT OpenCourseWare 18.06 2010 Spring Lecture 24: Marcov Matrix and Fourier...

2023, Feb 17   —  1 minute read

[Linear Algebra] Matrix Norm & Conditional Number of Matrix Operator

Matrix Norm & Conditional Number

2023, Feb 16   —  1 minute read
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