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  • SISSA
  • Trieste - Italy

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CristopherErazo/README.md

Hello world! 👋

I'm a PhD student at SISSA, exploring the theoretical foundations of machine learning. My current research focuses on understanding how data correlations shape the learning dynamics of neural networks.

🎓 Background

🧑‍💻 Languages and Tools

Python Bash NumPy PyTorch Git GitHub VSCode Linux

👥 Connect

LinkedIn

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  1. Hopfield_Dimensionality Hopfield_Dimensionality Public

    Compact tools for sampling spin systems and estimating the Binary Intrinsic Dimension (BID) from binary spin data.

    Jupyter Notebook 1

  2. Spin_Sampler Spin_Sampler Public

    Project for the course "Development Tools for Scientific Computing" at SISSA 2025.

    Python

  3. Land-Ownership Land-Ownership Public

    Project about land use and subsidies in Europe. Journalism - Data Science Collaboration. Data analysis and interactive visualization with Plotly and Sphinx Documentation.

    Python

  4. SAM SAM Public

    Code for Sharpness-Aware Minimization

    Jupyter Notebook

  5. Stochastic-Gradient-Descent Stochastic-Gradient-Descent Public

    Small toolkit to run teacher-student experiments and study learning dynamics with stochastic gradient descent (SGD).

    Python

  6. Transformers Transformers Public

    Project to study the self attention mechanism in transformers.

    Jupyter Notebook