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gianluigilopardo/README.md

Hi there! 👋

I'm Gianluigi, an applied mathematician with a strong interest in machine learning and computational linguistics.

I recently joined the European Central Bank, where I focus on quantitative methods and natural language processing within the International Policy Analysis Division. Before that, I was a doctoral researcher at Inria and Université Côte d'Azur. My PhD thesis centered on the Foundations of Machine Learning interpretability, supervised by Damien Garreau and Frédéric Precioso. Previously, I got an MSc in Mathematical Engineering and a BSc in Applied Mathematics, both from Politecnico di Torino.

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  1. 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 6

  2. smace smace Public

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

    Jupyter Notebook 9

  3. fred fred Public

    Faithful and Robust Local Interpretability for Textual Predictions

    Python 6 1

  4. attention_meets_xai attention_meets_xai Public

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

    Jupyter Notebook 8