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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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03/23/2023
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge
Knowledge Graph Embeddings (KGE) have become a quite popular class of mo...
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09/19/2022
Concept Embedding Models
Deploying AI-powered systems requires trustworthy models supporting effe...
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06/01/2021
Learning Representations for Sub-Symbolic Reasoning
Neuro-symbolic methods integrate neural architectures, knowledge represe...
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11/10/2020
Discrete solution pools and noise-contrastive estimation for predict-and-optimize
Numerous real-life decision-making processes involve solving a combinato...
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02/06/2020
Relational Neural Machines
Deep learning has been shown to achieve impressive results in several ta...
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07/26/2019
Learning and T-Norms Theory
Deep learning has been shown to achieve impressive results in several do...
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07/18/2019
On the relation between Loss Functions and T-Norms
Deep learning has been shown to achieve impressive results in several do...
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03/18/2019
LYRICS: a General Interface Layer to Integrate AI and Deep Learning
In spite of the amazing results obtained by deep learning in many applic...
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01/14/2019
Integrating Learning and Reasoning with Deep Logic Models
Deep learning is very effective at jointly learning feature representati...
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09/18/2018
On a Convex Logic Fragment for Learning and Reasoning
In this paper we introduce the convex fragment of Łukasiewicz Logic and ...
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07/16/2018