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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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06/01/2021
Learning Representations for Sub-Symbolic Reasoning
Neuro-symbolic methods integrate neural architectures, knowledge represe...
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02/08/2021
Generate and Revise: Reinforcement Learning in Neural Poetry
Writers, poets, singers usually do not create their compositions in just...
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10/12/2020
Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language
Italian is a Romance language that has its roots in Vulgar Latin. The bi...
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06/16/2020
Focus of Attention Improves Information Transfer in Visual Features
Unsupervised learning from continuous visual streams is a challenging pr...
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05/05/2020
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks
Several real-world applications are characterized by data that exhibit a...
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02/18/2020
Local Propagation in Constraint-based Neural Network
In this paper we study a constraint-based representation of neural netwo...
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02/18/2020
A Lagrangian Approach to Information Propagation in Graph Neural Networks
In many real world applications, data are characterized by a complex str...
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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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09/06/2019
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances
We consider a scenario where an artificial agent is reading a stream of ...
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08/31/2019
Conditions for Unnecessary Logical Constraints in Kernel Machines
A main property of support vector machines consists in the fact that onl...
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08/23/2019
Neural Poetry: Learning to Generate Poems using Syllables
Motivated by the recent progresses on machine learning-based models that...
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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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07/19/2019
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning
In the last few years, neural networks have been intensively used to dev...
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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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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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08/02/2017
Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks
Due to the wide diffusion of JPEG coding standard, the image forensic co...
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08/11/2014