Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits. - Simone Sarti; Eugenio Lomurno; Andrea Falanti; Matteo Matteucci (IJCNN, 2023)

Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits. - Simone Sarti; Eugenio Lomurno; Matteo Matteucci (INNS DLIA@IJCNN, 2023)

Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-objective Neural Architecture Search. - Simone Sarti; Eugenio Lomurno; Matteo Matteucci (ICPR (Workshops and Challenges, 5), 2024)

Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset. - Nikolaos Dionelis; Jente Bosmans; Riccardo Musto; Giancarlo Paoletti; Simone Sarti; Giacomo Cascarano; Casper Fibaek; Luke Camilleri; Bertrand Le Saux; Nicolas Longépé (CoRR, 2025)