Paolo Andreini (DIISM, University of Siena) Nov 14, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this seminar a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs) will be presented. Conditional GANs have enabled a variety of applications, but […]

Francesco Giannini (DIISM, University of Siena) Oct 24, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description While learning from constraints is a main topic in artificial intelligence, the problem of learning constraints from exam- ples has received less attention. In this talk, we focus on constraints expressed by logical formulas […]

Andrea Zugarini (DIISM, Universities of Florence and Siena) Oct 18, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this seminar we present a model that generates tercets and verses respectively learning from poetry of Dante and Petrarca. Further details and a demo can be found here.

Alessandro Betti (DIISM, Universities of Florence and Siena) Oct 11, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description By and large, Backpropagation (BP) is regarded as one of the most important neural computation algorithms at the basis of the impressive progress in machine learning, including the recent advances in deep […]

Vincenzo Laveglia (DIISM, Universities of Florence and Siena) Oct 4, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this preliminary work we try to formalize the notion of sparsity in neural networks defining an appropriate indicator that we call sparsity index (SI), and investigate how this indicator evolves during […]

Alberto Rossi (DIISM, Universities of Florence and Siena) Oct 4, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The ability of develop a complex reasoning on a relational environment is a fundamental characteristic of the human kind, but has been proven to be a difficult task for neural networks. In […]

Lisa Graziani (DIISM, Universities of Florence and Siena) Sept 13, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Emotion recognition from audio is a widely studied topic, but is still very challenging because is not entirely clear which features are effective for the recognition task. Moreover voice features keep on […]

Matteo Tiezzi (DIISM, University of Siena) Sept 6, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Adversarial examples are defined as “inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake”. Indeed, in the computer vision scenario it has been shown […]

Paolo Andreini (DIISM, University of Siena) Jul 5, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In recent years, deep neural networks have become the state of the art for semantic segmentation. Nevertheless, most of the success of deep learning rests on large sets of supervised data, which are not […]