Caterina Graziani (University of Siena) When: Sep 29th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Neuro-symbolic methods integrate neural architectures, knowledge representation and reasoning. However, they have been struggling at both dealing with the intrinsic uncertainty of the observations and scaling to real world applications. This paper presents Relational Reasoning Networks […]

Nicola Picchiotti (University of Pavia) When: Sep 22nd, 2021 – 11:00 – 11:45 AM Where: Google meet link Description The “black box” nature of deep neural network models is often a limit for safe applications since the reliability of the model predictions can be affected by the incompleteness in the optimization problem formalization. To frame […]

Gabriele Ciravegna (University of Siena) When: Sep 8th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Explainable artificial intelligence has rapidly emerged since lawmakers have started requiring interpretable models for safety-critical domains. Concept-based neural networks have arisen as explainable-by-design methods as they leverage human-understandable symbols (i.e. concepts) to predict class memberships. However, […]