Sfoglia per Relatore
Mostrati risultati da 1 a 12 di 12
AutoOPE: Automated Estimator Selection for Off-Policy Evaluation
2022/2023 Benigni, Michael
Denoising diffusion models of matrix-factorization user embeddings for collaborative filtering
2022/2023 Basso, Paolo
Diffusion Models for Collaborative Filtering using Self-Attention and Graph-Based Similarity
2023/2024 Ortolomo, Luca
Enhancing Review-based Recommender Systems with Attention-driven Models Leveraging Large Language Model's Embeddings
2022/2023 Marragony, Salvatore
Exploiting LMs for clickbait detection in online news recommendation
2023/2024 Maggese, Saverio
Exploring the role of Hamiltonian expressibility in ansatz selection for variational quantum algorithms
2023/2024 BROZZI, FILIPPO
Graph neural networks and reinforcement learning for minor embedding in Quantum Annealing
2023/2024 MIANI, GIORGIO
Leveraging LLM embeddings to enhance review-based and traditional recommender systems
2023/2024 CECERE, NICOLA
Personalized conditional diffusion with user factors guidance for collaborative filtering
2022/2023 Lentini, Andrea
Reinforcement learning for variational quantum circuit design: a PPO-based approach for solving QUBO problems
2023/2024 FODERÀ, SIMONE
Reproducing work for Simple-HGN and proposing a novel algorithm named attention-based matrix factorization
2022/2023 He, Zhitao
Study of the impact of spectral features of QUBO problems on the performance of Quantum Annealers
2021/2022 Pellini, Riccardo
Mostrati risultati da 1 a 12 di 12
Legenda icone accesso al fulltext
- File accessibili da tutti
- File accessibili dagli utenti autorizzati
- File accessibili da tutti o solo dagli utenti autorizzati, a partire dalla la data indicata nella scheda
- File non accessibili