10 citations · 15 across the 6 of their papers we have counts for
6 papers
PersONAL: Towards a Comprehensive Benchmark for Personalized Embodied Agents
Filippo Ziliotto, Jelin Raphael Akkara, Alessandro Daniele +3
Recent advances in Embodied AI have enabled agents to perform increasingly complex tasks and adapt to diverse environments. However, deploying such agents in realistic human-center…
Simple and Effective Transfer Learning for Neuro-Symbolic Integration
Alessandro Daniele, Tommaso Campari, Sagar Malhotra +1
Deep Learning (DL) techniques have achieved remarkable successes in recent years. However, their ability to generalize and execute reasoning tasks remains a challenge. A potential…
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
Alessandro Daniele, Tommaso Campari, Sagar Malhotra +1
Neuro-Symbolic (NeSy) integration combines symbolic reasoning with Neural Networks (NNs) for tasks requiring perception and reasoning. Most NeSy systems rely on continuous relaxati…
Refining neural network predictions using background knowledge
Alessandro Daniele, Emile van Krieken, Luciano Serafini +1
Recent work has shown logical background knowledge can be used in learning systems to compensate for a lack of labeled training data. Many methods work by creating a loss function…
Knowledge Enhanced Neural Networks for relational domains
Alessandro Daniele, Luciano Serafini
In the recent past, there has been a growing interest in Neural-Symbolic Integration frameworks, i.e., hybrid systems that integrate connectionist and symbolic approaches to obtain…
Neural Networks Enhancement with Logical Knowledge
Alessandro Daniele, Luciano Serafini
In the recent past, there has been a growing interest in Neural-Symbolic Integration frameworks, i.e., hybrid systems that integrate connectionist and symbolic approaches to obtain…