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gianluigilopardo/README.md

Hi there! 👋

I am Gianluigi, a data scientist working at the European Central Bank. I am currently researching AI/ML methods for economic research within the international policy analysis division of the ECB. Prior to this, I was a doctoral researcher at Inria and Université Côte d'Azur. My PhD thesis focused on the foundations of machine learning interpretability, under the supervision of Damien Garreau and Frédéric Precioso. Previously, I earned an MSc in mathematical engineering and a BSc in applied mathematics, both from Politecnico di Torino.

Drop me a line if you're ever in Frankfurt, Rome, or Brienza!

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  1. attention_meets_xai attention_meets_xai Public

    Code for the paper "Attention Meets Post-hoc Interpretability: A Mathematical Perspective", ICML 2024

    Jupyter Notebook 21 2

  2. anchors_text_theory anchors_text_theory Public

    Code for the paper "A Sea of Words: An In-Depth Analysis of Anchors for Text Data", AISTATS 2023

    Python 15 1

  3. fred fred Public

    Faithful and Robust Local Interpretability for Textual Predictions

    Python 9 2

  4. forecast-evaluation forecast-evaluation Public

    A Python library for comparing forecast accuracy between different models using statistical tests.

    Jupyter Notebook 4

  5. hacktheact hacktheact Public

    Hack the Act! is a RAG-based chatbot designed to demystify the European Union AI Act

    Python 4 1

  6. smace smace Public

    Code for the paper "SMACE: A New Method for the Interpretability of Composite Decision Systems", ECML 2022

    Jupyter Notebook 15 1