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You can find a simple Pokemon squad builder at this link. Made for fun using Claude Code.
Published in In the proceedings of Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023
Recommended citation: Giuseppe Carrino, Angelo Di, Gioele Barabucci, "Comparison of news commonality and churn in international news outlets with TARO." In the proceedings of Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023.
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Published in In the proceedings of Proceedings of the 35th ACM Conference on Hypertext and Social Media, 2024
Recommended citation: Giuseppe Carrino, Angelo Di, Davide Picca, "Publishing, linking and translating news in multilingual communities: a mirror of cultural differences?." In the proceedings of Proceedings of the 35th ACM Conference on Hypertext and Social Media, 2024.
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Published in New Review of Hypermedia and Multimedia, 2025
Recommended citation: Giuseppe Carrino, Angelo Iorio, Gioele Barabucci, "Investigating news coverage and circulation over time in a quantitative manner: the TARO framework." New Review of Hypermedia and Multimedia, 2025.
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Published in 07, 10, 2025
Recommended citation: Giuseppe Carrino. Frugality in second-order optimization: floating-point approximations for Newton method. Computer Science [cs]. Bologna University, 2025. English. ⟨NNT : ⟩. ⟨tel-05375552⟩
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Presented a poster on my ENS internship work at M2L Summer School by Google DeepMind.
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Presented a poster on my ongoing PhD work at SIAM Chapters meeting for Young Researchers in Milan. Poster PDF is available on this website, here.
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Attended PEQUAN Team (LIP6) meeting and presented my ongoing work on mixed precision Newton’s method. My slides are available on this website, here.
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Attended and presented at my work on mixed-precision Newton’s methods at SIAM OP26, at University of Edinburgh, in the mini-symposium on Inexact and accelerated methods for nonlinear problems organized by Coralia Cartis. My slides are available on this website, here.
Master degree course, ENS Lyon, Master's degree in Computer Science, 2026
Teaching to students of first year of Master’s degree in Computer Science at École normale supérieure of Lyon. Exercises on foundations of machine learning, both theoretical, through mathematical proofs, and applied, using Python notebooks. —