LYRICS: integrating Logic and Deep Learning

LINK TO THE PAPER https://arxiv.org/abs/1903.07534 LINK TO THE REPO https://github.com/GiuseppeMarra/lyrics In spite of the amazing results obtained by deep learning in many applications, a real intelligent behavior of an agent acting in a complex environment is likely to require some kind of higher-level symbolic inference. Therefore, there is a clear need for the definition of a […]

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The Graph Neural Network framework

LINK https://sailab.diism.unisi.it/gnn/ Our research group introduced the Graph Neural Network (GNN), a connectionist model particularly suited for problems whose domain can be represented by a set of patterns and relationships between them. In those problems, a prediction about a given pattern can be carried out exploiting all the related information, which includes the pattern features, […]

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dante vs macchina

PoemGen

Is poetry a peculiarity of human beings only? Can machines learn to generate poems that actually convey deep emotional meanings, just like human poets do? A lot of work is still necessary to reach such goal, here we present a simple demo in which we trained two models to generate tercets and verses respectively learning […]

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DeepHarvest

Do you want to challenge a Deep Reinforcement Learning based algorithm? If yes, then DeepHarvest is a very good opportunity! >> ONLINE DEMO

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Visual Attention Modeling

Computational models of visual attention are at the crossroad of disciplines like cognitive science, computational neuroscience, and computer vision. When eye-tracking devices are not a viable option, models of human attention can be used to predict fixations.  Not only humans are correlated in terms of the locations they fixate, but they also agree somewhat in the […]

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