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08/23/2023
Relational Concept Based Models
The design of interpretable deep learning models working in relational d...
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04/27/2023
Interpretable Neural-Symbolic Concept Reasoning
Deep learning methods are highly accurate, yet their opaque decision pro...
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09/19/2022
Concept Embedding Models
Deploying AI-powered systems requires trustworthy models supporting effe...
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07/27/2022
Encoding Concepts in Graph Neural Networks
The opaque reasoning of Graph Neural Networks induces a lack of human tr...
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10/15/2021
Knowledge-driven Active Learning
In the last few years, Deep Learning models have become increasingly pop...
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09/21/2021
Graph Neural Networks for Graph Drawing
Graph Drawing techniques have been developed in the last few years with ...
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08/11/2021
Logic Explained Networks
The large and still increasing popularity of deep learning clashes with ...
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06/12/2021
Entropy-based Logic Explanations of Neural Networks
Explainable artificial intelligence has rapidly emerged since lawmakers ...
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05/25/2021
LENs: a Python library for Logic Explained Networks
LENs is a Python module integrating a variety of state-of-the-art approa...
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09/06/2020
Gradient-based Competitive Learning: Theory
Deep learning has been widely used for supervised learning and classific...
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08/21/2020
Topological Gradient-based Competitive Learning
Topological learning is a wide research area aiming at uncovering the mu...
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06/06/2020