SUMIN PARK
SUMIN PARK

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  • PAPERS
    Convolutional Neural Networks (6) Transformer (3) Optimization (2) Representation (1) Object Detection (5) Generative Models () 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 () Spectral Graph Theory (2)
  • 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)
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  • [Graph Theory] Markov Chains : Part 2 - Spectral View of Markov Chains and Random Walks

    Outlines References 1. Eigenspace of Transition Matrix 2. Spectral Analysis of Markov Chains 2.1. Persistent...

    2024, Apr 09   —  3 minute read

    [ML/Statistics] Exponential, Gamma, Beta, Dirichlet Distributions and Dirichlet Process

    Exponential Distribution Gamma Function & Distribution Beta Distribution Dirichlet Distribution & Dirichlet Process

    2024, Feb 15   —  1 minute read

    [Graph Theory] Markov Chains : Part 1 - Basic Properties and Classfications of Markov Chains

    Outlines References 1. Markov Process 2. Evolution of Markov Chains 2.1. Stationary Distribution and Eigendecomposition...

    2024, Jan 05   —  14 minute read

    [Paper Review] Sharpness-Aware Minimization for Efficiently Improving Generalization (SAM, 2021)

    Outlines References 1. Weak Generalization Power of Sharp Minima 2. Sharpness-Aware Minimization (SAM) 2.1. PAC...

    2023, Dec 07   —  6 minute read

    [ML] PAC-Bayes Bound : Measure for Generalization Ability of Learned Predictors

    References An Introduction to PAC-Bayes User-friendly introduction to PAC-Bayes bounds, Alquier et al., 2021 PAC...

    2023, Dec 06   —  1 minute read

    [Tensor Calculus] Notes on Tensor Calculus

    Notes 01_Recap_Multivariate Calculus 02_Covector and Contravariance 03_Tensor Product - Raising and Lower Index with Metric...

    2023, Nov 29   —  1 minute read

    [Paper Review] A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants

    Outlines Reference 1. Weisfeiler-Lehman Graph Isomorphism Test 1.1. WL Test 1.2. k-WL Test 1.3. k-FWL...

    2023, Nov 22   —  5 minute read

    [Papers Review] Summaries of Papers Focusing on Graph Rewiring to Address Over-Squashing

    Note that all summaries here are for personal purpose to better understand mathematical details of...

    2023, Nov 14   —  3 minute read

    [Papers Review & Implementation] Hyperbolic Neural Networks - Part 2 : Implementing Hyperbolic Graph Convolutional Networks (HGCN)

    Outlines Reference HGCN : Implementing GCN in Hyperbolic Space 0. Hyperboloid Model 1. HGCN Layer...

    2023, Oct 23   —  35 minute read

    [GNN] Hyperbolic Neural Networks - Part 1 : Hyperbolic Geometry and Generalization of Euclidean Operations in Hyperbolic Space

    Outlines Reference 1. Limitations of Euclidean Space to Represent the Hierarchical Data 2. Hyperbolic Geometry...

    2023, Oct 13   —  11 minute read
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