Tommaso Carraro

According to our database, Tommaso Carraro authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LTNtorch: PyTorch Implementation of Logic Tensor Networks.

Tommaso Carraro, Luciano Serafini, Fabio Aiolli

CoRR, 2024

A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts.

Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini

CoRR, 2024

A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts.

Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Revisiting Tech Battles Using Science Fiction: Methodological Implications and First Impressions.

Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Lorenzo Angeli

Proceedings of the IEEE Global Engineering Education Conference, 2024

2023

Overcoming Recommendation Limitations with Neuro-Symbolic Integration.

Tommaso Carraro

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer.

Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini

Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Choose Your Own Adventure: Empowering Students to Combine Structured and Open Challenge-Based Learning.

Jessica Lucchetta, Tommaso Carraro, Milena Stoycheva, Maurizio Marchese, Lorenzo Angeli

Proceedings of the IEEE Frontiers in Education Conference, 2023

Neuro-Symbolic Recommender Systems (Short paper).

Tommaso Carraro

Proceedings of the AIxIA Doctoral Consortium 2023 co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022

Novel Applications for VAE-based Anomaly Detection Systems.

Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli

Proceedings of the International Joint Conference on Neural Networks, 2022

Conditioned Variational Autoencoder for Top-N Item Recommendation.

Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Bayes Point Rule Set Learning.

Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Logic Tensor Networks for Top-N Recommendation.

Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini

Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

2020

Conditioned Variational Autoencoder for top-N item recommendation.

Mirko Polato, Tommaso Carraro, Fabio Aiolli

CoRR, 2020

A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering.

Tommaso Carraro, Mirko Polato, Fabio Aiolli

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020