| On the creativity of large language models G Franceschelli, M Musolesi AI & SOCIETY, 1-11, 2024 | 95 | 2024 |
| Copyright in generative deep learning G Franceschelli, M Musolesi Data & Policy 4, e17, 2022 | 79 | 2022 |
| Creativity and machine learning: A survey G Franceschelli, M Musolesi ACM Computing Surveys 56 (11), 1-41, 2024 | 50 | 2024 |
| Reinforcement learning for generative AI: State of the art, opportunities and open research challenges G Franceschelli, M Musolesi Journal of Artificial Intelligence Research 79, 417-446, 2024 | 21 | 2024 |
| Deepcreativity: measuring creativity with deep learning techniques G Franceschelli, M Musolesi Intelligenza Artificiale 16 (2), 151-163, 2022 | 12 | 2022 |
| Creative Beam Search: LLM-as-a-Judge For Improving Response Generation G Franceschelli, M Musolesi International Conference on Computational Creativity (ICCC'24), 2024 | 3* | 2024 |
| Training foundation models as data compression: On information, model weights and copyright law G Franceschelli, C Cevenini, M Musolesi arXiv preprint arXiv:2407.13493, 2024 | 2 | 2024 |
| Back to Fundamentals of Research. Interdisciplinarity. Roundtable 2: The researchers' perspective FX de la Cruz Montserrat, AC Mourão Moura, E van Emde Boas, ... | | 2024 |
| Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning G Franceschelli, M Musolesi arXiv preprint arXiv:2403.07979, 2024 | | 2024 |
| Generative Deep Learning and Creativity G Franceschelli | | |
Mirco MusolesiUniversity College LondonΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ucl.ac.uk