activity
20172021
most citedAligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks

227 citations · 254 across the 5 of their papers we have counts for

collaborators

15 papers

cs.CL2021

Generate and Revise: Reinforcement Learning in Neural Poetry

Andrea Zugarini, Luca Pasqualini, Stefano Melacci +1

Writers, poets, singers usually do not create their compositions in just one breath. Text is revisited, adjusted, modified, rephrased, even multiple times, in order to better conve…

cs.CL2020

Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language

Andrea Zugarini, Matteo Tiezzi, Marco Maggini

Italian is a Romance language that has its roots in Vulgar Latin. The birth of the modern Italian started in Tuscany around the 14th century, and it is mainly attributed to the wor…

cs.LG20204 cited

Focus of Attention Improves Information Transfer in Visual Features

Matteo Tiezzi, Stefano Melacci, Alessandro Betti +2

Unsupervised learning from continuous visual streams is a challenging problem that cannot be naturally and efficiently managed in the classic batch-mode setting of computation. The…

cs.AI202013 cited

Relational Neural Machines

Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini +2

Deep learning has been shown to achieve impressive results in several tasks where a large amount of training data is available. However, deep learning solely focuses on the accurac…

cs.LG2020

Local Propagation in Constraint-based Neural Network

Giuseppe Marra, Matteo Tiezzi, Stefano Melacci +3

In this paper we study a constraint-based representation of neural network architectures. We cast the learning problem in the Lagrangian framework and we investigate a simple optim…

cs.LG2020

A Lagrangian Approach to Information Propagation in Graph Neural Networks

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci +2

In many real world applications, data are characterized by a complex structure, that can be naturally encoded as a graph. In the last years, the popularity of deep learning techniq…