Physics-Informed Neural Networks for Nonlinear Output Regulation. - Sebastiano Mengozzi; Giovanni B. Esposito; Michelangelo Bin; Andrea Acquaviva; Andrea Bartolini; Lorenzo Marconi 001 (CoRR, 2025)

Context-Aware Diffusion for Telemetry Time Series with Permutation-Stable Feature Modeling (Student Abstract). - Giovanni B. Esposito; Daniele Cesarini; Andrea Bartolini (AAAI, 2026)

SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series. - Giovanni B. Esposito; Francesco Antici; Daniele Cesarini; Andrea Bartolini (CF, 2026)

SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference. - Hiari Pizzini Cavagna; Andrea Proia; Giacomo Madella; Giovanni Battista Esposito; Francesco Antici; Daniele Cesarini; Zeynep Kiziltan; Andrea Bartolini (ICPE, 2026)