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  • SISSA
  • Trieste - Italy

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CristopherErazo/README.md

Hello world! ๐Ÿ‘‹

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.


๐ŸŽ“ Background


๐Ÿง‘โ€๐Ÿ’ป Languages and Tools

Python Bash NumPy PyTorch Git GitHub VSCode Linux


๐Ÿ‘ฅ Connect

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  1. Stochastic-Gradient-Descent Stochastic-Gradient-Descent Public

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

    Python

  2. 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

  3. Spin_Sampler Spin_Sampler Public

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

    Python

  4. Gated-RNNs Gated-RNNs Public

    Code for the exam in Temporal Dynamics from TSDS 2025

    Jupyter Notebook