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sylvaincom/README.md

Hi there, I'm Sylvain W. Combettes πŸ‘‹

Since February 2024, I have been a postdoctoral researcher at the Centre Borelli research lab from Ecole Normale SupΓ©rieure Paris-Saclay, under the supervision of Laurent Oudre. I am working on the BrevetAI project from SaclAI School (DATAIA Institute), a "learning-by-doing" pedagogical platform for AI acculturation.

Previously, I was a PhD student, also at the Centre Borelli, where I worked on machine learning applied to time series, under the supervision of Laurent Oudre and Charles Truong. More precisely, my research focused on symbolic representation for time series, as well as distance measures on them. I successfully defended my PhD on January 8th, 2024.

My website: https://sylvaincom.github.io/

Pinned

  1. astride astride Public

    [Preprint] Python implementation of "ASTRIDE: Adaptive Symbolization for Time Series Databases"

    Jupyter Notebook 12 3

  2. d-symb d-symb Public

    [ICDMW 2023] Python implementation of d_{symb}: "An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals"

    Jupyter Notebook 4

  3. boniolp/dsymb-playground boniolp/dsymb-playground Public

    [ICDE 2024] Python and Streamlit implementation of "d_{symb} playground: an interactive tool to explore large multivariate time series datasets"

    Python 7

  4. aeon-toolkit/aeon aeon-toolkit/aeon Public

    A toolkit for conducting machine learning tasks with time series data

    Python 804 81

  5. medgan-tips medgan-tips Public

    [Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.

    Jupyter Notebook 18 3

  6. comparison-distributions comparison-distributions Public

    [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. Kullback-Leibler). Application to the Choquet integral.

    Jupyter Notebook 8