Copyright in Generative Deep Learning. - Giorgio Franceschelli; Mirco Musolesi (CoRR, 2021)

DeepCreativity: measuring creativity with deep learning techniques. - Giorgio Franceschelli; Mirco Musolesi (Intelligenza Artificiale, 2022)

Creative Beam Search: LLM-as-a-Judge for Improving Response Generation. - Giorgio Franceschelli; Mirco Musolesi (ICCC, 2024)

Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning. - Giorgio Franceschelli; Mirco Musolesi (CoRR, 2024)

Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law. - Giorgio Franceschelli; Claudia Cevenini; Mirco Musolesi (CoRR, 2024)

Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges. - Giorgio Franceschelli; Mirco Musolesi (J. Artif. Intell. Res., 2024)

Creativity and Machine Learning: A Survey. - Giorgio Franceschelli; Mirco Musolesi (ACM Comput. Surv., 2024)

Thinking Outside the (Gray) Box: A Context-Based Score for Assessing Value and Originality in Neural Text Generation. - Giorgio Franceschelli; Mirco Musolesi (CoRR, 2025)

DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation. - Giorgio Franceschelli; Mirco Musolesi (CoRR, 2025)

On the creativity of large language models. - Giorgio Franceschelli; Mirco Musolesi (AI Soc., 2025)