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Achievement: Pull Sharkx2Achievement: YOLO

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kisnikser/README.md

👋🏻 Hi there!

  • My name is Nikita Kiselev
  • I am Data Scientist and Optimization Researcher
  • To learn more about me, see my Homepage
  • Also, check out my Resume and CV

Below I provide links to my featured publications and projects available on GitHub

📝 Publications

🐶 Projects

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  1. landscape-hessian landscape-hessian Public

    Official implementation of "Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapes"

    TeX 2

  2. Posterior-Distributions-Proximity Posterior-Distributions-Proximity Public

    Official implementation of "Sample Size Determination: Posterior Distributions Proximity"

    Jupyter Notebook

  3. DorinDaniil/Forecasting-fMRI-Images DorinDaniil/Forecasting-fMRI-Images Public

    This repository contains the paper, figures, and code for the paper "Forecasting fMRI Images From Video Sequences: Linear Model Analysis".

    Jupyter Notebook 1

  4. Likelihood-Bootstrapping Likelihood-Bootstrapping Public

    Official implementation of "Sample Size Determination: Likelihood Bootstrapping"

    Jupyter Notebook