No Double Descent in Self-Supervised Learning. - Dulhan Hansaja Jayalath; Alisia Maria Lupidi; Yonatan Gideoni (Tiny Papers @ ICLR, 2023)

Interpretable Graph Networks Formulate Universal Algebra Conjectures. - Francesco Giannini; Stefano Fioravanti; Oguzhan Keskin; Alisia Maria Lupidi; Lucie Charlotte Magister; Pietro Lió; Pietro Barbiero (NeurIPS, 2023)

Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach. - Oguzhan Keskin; Alisia Maria Lupidi; Stefano Fioravanti; Lucie Charlotte Magister; Pietro Barbiero; Pietro Lio; Francesco Giannini (TAG-ML, 2023)

Does Double Descent Occur in Self-Supervised Learning? - Alisia Maria Lupidi; Yonatan Gideoni; Dulhan Hansaja Jayalath (CoRR, 2023)

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources. - Alisia Maria Lupidi; Carlos Gemmell; Nicola Cancedda; Jane Dwivedi-Yu; Jason Weston; Jakob N. Foerster; Roberta Raileanu; Maria Lomeli (CoRR, 2024)

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. - Yuan He 008; Bailan He; Zifeng Ding; Alisia Maria Lupidi; Yuqicheng Zhu; Shuo Chen 014; Caiqi Zhang; Jiaoyan Chen 001; Yunpu Ma; Volker Tresp; Ian Horrocks 001 (CoRR, 2025)

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements. - Bingchen Zhao; Despoina Magka; Minqi Jiang; Xian Li; Roberta Raileanu; Tatiana Shavrina; Jean-Christophe Gagnon-Audet; Kelvin Niu; Shagun Sodhani; Michael Shvartsman; Andrei Lupu; Alisia Maria Lupidi; et al. (CoRR, 2025)

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. - Edan Toledo; Karen Hambardzumyan; Martin Josifoski; Rishi Hazra; Nicolas Mario Baldwin; Alexis Audran-Reiss; Michael Kuchnik; Despoina Magka; Minqi Jiang; Alisia Maria Lupidi; Andrei Lupu; Roberta Raileanu; et al. (CoRR, 2025)