316 citations · 351 across the 24 of their papers we have counts for
3 papers · 1 filter
LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning
Luca Salvatore Lorello, Nikolaos Manginas, Marco Lippi +1
Neuro-symbolic artificial intelligence aims to combine neural architectures with symbolic approaches that can represent knowledge in a human-interpretable formalism. Continual lear…
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge
Luca Salvatore Lorello, Marco Lippi, Stefano Melacci
One of the goals of neuro-symbolic artificial intelligence is to exploit background knowledge to improve the performance of learning tasks. However, most of the existing frameworks…
Generative System Dynamics in Recurrent Neural Networks
Michele Casoni, Tommaso Guidi, Alessandro Betti +2
In this study, we investigate the continuous time dynamics of Recurrent Neural Networks (RNNs), focusing on systems with nonlinear activation functions. The objective of this work…