Hi there!đź‘‹
About🤌Â
I am Gianluigi, a PhD student in Applied Mathematics at UniversitĂ© CĂ´te d'Azur, where I am part of the J. A. DieudonnĂ© laboratory and Maasai, an Inria project-team, located in Sophia Antipolis. I am currently working on the interpretability of machine learning models and algorithms, both by analyzing their theoretical foundations and by proposing new solutions, under the supervision of Damien Garreau and FrĂ©dĂ©ric Precioso. Previously, I got an MSc in Mathematical Engineering and a BSc in Applied Mathematics, both from Politecnico di Torino.Â
Education
Ph.D. in Applied Mathematics, 2021-2024
Université Côte d'Azur, InriaM.Sc. in Mathematical Engineering, 2019-2021
Politecnico di TorinoB.Sc. in Applied Mathematics, 2016-2019
Politecnico di Torino
Experience
Machine Learning research intern at Inria Maasai, Mar 2021-Sep 2021
Machine Learning engineer intern at Alten, Sep 2020-Feb 2021
Deputy Manager of IT Departement at at JEToP, Oct 2017-Apr 2018
IT Consultant at JEToP, Oct 2016-Apr 2018
Research
You can find my code on Github and my publications on Google Scholar.
G. Lopardo, F. Precioso, D. Garreau, Understanding Post-hoc Explainers: The Case of Anchors  [preprint][code]
G. Lopardo, F. Precioso, D. Garreau, A Sea of Words: An In-Depth Analysis of Anchors for Text Data, AISTATS 2023 [paper][code]
G. Lopardo, D. Garreau, Comparing Feature Importance and Rule Extraction for Interpretability on Text Data, ICPR 2nd Workshop on Explainable and Ethical AI, 2022 [paper][code]
G. Lopardo, D. Garreau, F. Precioso, G. Ottosson, SMACE: A New Method for the Interpretability of Composite Decision Systems, ECML 2022 [paper][code]
Teaching
During my PhD, I am also teaching some courses:
2022-2023
Math problems (BSc, 1st year, 16 hours)
Mathematical methods (BSc, 2nd yer, 48 hours)
2021-2022
Introduction to Statistics (MSc, 1st year, Mathematical Engineering, 16 hours)
Fundamentals of mathematics (BSc, 1st year, 24 hours)
News
April 25-27: I will be in Valencia for AISTATSÂ Â
January 31: I presented SMACE to the AI4media network in Florence
January 2023: our analysis of Anchors for text data got accepted to AISTATS 2023
November 17, 2022: talk at the 1st Nice Workshop on Interpretability
September 21, 2022: talk at ECML in Grenoble, presenting SMACEÂ
August 21, 2022: talk at the 2-nd Workshop on Explainable and Ethical AI – ICPR 2022 in Montreal
June 2022: SMACE got accepted @ECML, my first conference paper!
April 2022: I attended the Statlearn spring-school
November 2021: I attended the AI & Companies WeekÂ
November 19, 2021: talk at the SophIA SummitÂ
November 2021: new preprint available: we propose a new method for the explainability of composite AI systems
October 1, 2021: I started my PhD
Contact
Email: gianluigi.lopardo@inria.fr
LinkedIn: https://www.linkedin.com/in/gianluigilopardo
Twitter: https://twitter.com/gl_lopardo
