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gabsens/README.md

I am a third-year PhD student at CREST - ENSAE, advised by Victor-Emmanuel Brunel.

News: I defended my PhD thesis on December 15, 2023. My manuscript is available here.

My interests include:

  • Statistics in metric spaces
  • Statistics in infinite-dimensional normed spaces
  • High-dimensional Regression

I studied at ENSAE Paris and ENS Paris-Saclay, got a master's degree from the latter (MVA).

My Github repositories are the products of coursework and various projects (related to steganography, low-level memory manipulation, scrapping, ...)

My website

Visits:

Pinned

  1. SelfAvoidingWalk SelfAvoidingWalk Public

    Spring 2018 Monte Carlo project at ENSAE: simulation of self-avoiding random walks

    Jupyter Notebook 25 4

  2. Learning-Embeddings-into-Entropic-Wasserstein-Spaces-ENSAE Learning-Embeddings-into-Entropic-Wasserstein-Spaces-ENSAE Public

    A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the results on word embeddings.

    Jupyter Notebook 22

  3. DimensionReduction DimensionReduction Public

    Spring 2017 Python project at ENSAE: PCA with pure Python, bits of NMF

    Python 3

  4. DEep-Learning-for-Image-REstoration-and-Synthesis-MVA DEep-Learning-for-Image-REstoration-and-Synthesis-MVA Public

    Work done for the Spring 2019 class of DEep Learning for Image REstoration and Synthesis at MVA Master's degree

    Jupyter Notebook 2

  5. Pattern-scanner-for-OSX Pattern-scanner-for-OSX Public

    Grabs important CSGO offsets on OSX using pattern-scanning

    C++ 11 7

  6. IMC-Prosperity-2-Manual IMC-Prosperity-2-Manual Public

    Detailed write-ups for manual trading challenges in IMC Prosperity 2

    Jupyter Notebook 12 3