Marco Maggini | DeepAI

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∙ 08/11/2021

Logic Explained Networks

The large and still increasing popularity of deep learning clashes with ...

12 Gabriele Ciravegna, et al. ∙

∙ 06/01/2021

Learning Representations for Sub-Symbolic Reasoning

Neuro-symbolic methods integrate neural architectures, knowledge represe...

0 Giuseppe Marra, et al. ∙

∙ 02/08/2021

Generate and Revise: Reinforcement Learning in Neural Poetry

Writers, poets, singers usually do not create their compositions in just...

28 Andrea Zugarini, et al. ∙

∙ 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...

9 Andrea Zugarini, et al. ∙

∙ 06/16/2020

Focus of Attention Improves Information Transfer in Visual Features

Unsupervised learning from continuous visual streams is a challenging pr...

10 Matteo Tiezzi, et al. ∙

∙ 05/05/2020

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks

Several real-world applications are characterized by data that exhibit a...

12 Matteo Tiezzi, et al. ∙

∙ 02/18/2020

Local Propagation in Constraint-based Neural Network

In this paper we study a constraint-based representation of neural netwo...

8 Giuseppe Marra, et al. ∙

∙ 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...

11 Matteo Tiezzi, et al. ∙

∙ 02/06/2020

Relational Neural Machines

Deep learning has been shown to achieve impressive results in several ta...

58 Giuseppe Marra, et al. ∙

∙ 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 ...

0 Marco Maggini, et al. ∙

∙ 08/31/2019

Conditions for Unnecessary Logical Constraints in Kernel Machines

A main property of support vector machines consists in the fact that onl...

0 Francesco Giannini, et al. ∙

∙ 08/23/2019

Neural Poetry: Learning to Generate Poems using Syllables

Motivated by the recent progresses on machine learning-based models that...

0 Andrea Zugarini, et al. ∙

∙ 07/26/2019

Learning and T-Norms Theory

Deep learning has been shown to achieve impressive results in several do...

2 Giuseppe Marra, et al. ∙

∙ 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...

0 Giuseppe Marra, et al. ∙

∙ 07/18/2019

On the relation between Loss Functions and T-Norms

Deep learning has been shown to achieve impressive results in several do...

4 Francesco Giannini, et al. ∙

∙ 09/18/2018

On a Convex Logic Fragment for Learning and Reasoning

In this paper we introduce the convex fragment of Łukasiewicz Logic and ...

0 Francesco Giannini, et al. ∙

∙ 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...

0 Mauro Barni, et al. ∙

∙ 08/11/2014

Learning to see like children: proof of concept

In the last few years we have seen a growing interest in machine learnin...

0 Marco Gori, et al. ∙

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