Alessandro Daniele

According to our database, Alessandro Daniele authored at least 14 papers between 2018 and 2025.

Collaborative distances:

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

2025

Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration.

Davide Bizzaro, Alessandro Daniele

CoRR, September, 2025

PersONAL: Towards a Comprehensive Benchmark for Personalized Embodied Agents.

Filippo Ziliotto, Jelin Raphael Akkara, Alessandro Daniele, Lamberto Ballan, Luciano Serafini, Tommaso Campari

CoRR, September, 2025

T-ILR: a Neurosymbolic Integration for LTLf.

Riccardo Andreoni, Andrei Buliga, Alessandro Daniele, Chiara Ghidini, Marco Montali, Massimiliano Ronzani

CoRR, August, 2025

Noise to the Rescue: Escaping Local Minima in Neurosymbolic Local Search.

Alessandro Daniele, Emile van Krieken

CoRR, March, 2025

2024

Simple and Effective Transfer Learning for Neuro-Symbolic Integration.

Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer.

Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini

Proceedings of the Advances in Information Retrieval, 2024

2023

Refining neural network predictions using background knowledge.

Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen

Mach. Learn., September, 2023

Knowledge Enhanced Neural Networks for Point Cloud Semantic Segmentation.

Eleonora Grilli, Alessandro Daniele, Maarten Bassier, Fabio Remondino, Luciano Serafini

Remote. Sens., 2023

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions.

Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022

Knowledge Enhanced Neural Networks for Relational Domains.

Alessandro Daniele, Luciano Serafini

Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 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

Neural Networks Enhancement through Prior Logical Knowledge.

Alessandro Daniele, Luciano Serafini

CoRR, 2020

2019

Knowledge Enhanced Neural Networks.

Alessandro Daniele, Luciano Serafini

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018

Scenarios Interpretation with Prior Knowledge.

Alessandro Daniele

Proceedings of the AI*IA Doctoral Consortium (DC) co-located with the 17th Conference of the Italian Association for Artificial Intelligence (AI*IA 2018), 2018