SAILab

Giorgio Ciano (University of Siena) Jan 22, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generativeimage modeling. We expose and analyze several of its characteristic artifacts, and propose changes in both model architecture and training methods to address them. […]

Anna Visibelli (University of Siena) Jan 15, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Microbial rhodopsins, light-dependent ion-transporting membrane proteins, are widely used in optogenetics, due to their low phototoxicity and high tissue penetration. To widen possible optogenetic applications (e.g., diverse optical control of neural activity) novel rhodopsins, exhibiting […]

Lapo Faggi (University of Florence) Jan 8, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Despite their enormous success, a clear theoretical understanding on why Deep Neural Networks work so well and on how they can efficiently extract specific features is still lacking. Recently, some possible explanations were proposed, based […]

Edmondo Trentin (University of Siena) Dec 18, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Structured data in the form of labeled graphs (with variable order and topology) may be thought of as the outcomes of a random graph generating process, characterized by an underlying probabilistic law. In this talk […]

Federica Baccini (University of Pisa) Dec 11, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this seminar a model that combines different techniques of network analysis is presented, together with its application to epigenetic data, in order to study haematopoiesis, i.e. the process of differentiation of blood cells. Currently, […]

Niccolò Pancino (University of Florence) Dec 04, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Binding site identification allows to determine the functionality and the quaternary structure of protein–protein complexes. Various approaches to this problem have been proposed without reaching a viable solution. Graph theory is a very helpful instrument […]

Enrico Meloni (University of Florence) Nov 27, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Recently, there have been many breakthroughs in computer vision thanks to Deep Learning. The availability of huge annotated datasets was one of the reasons of this success, if not the most important. However, these datasets […]

Paolo Andreini (University of Siena) Nov 20, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In recent years, the use of deep learning is becoming increasingly popular in computer vision. However, the effective training of deep architectures usually relies on huge sets of annotated data. This is critical in the […]

Andrea Zugarini (University of Florence) Nov 13, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Despite considerable advancements with deep neural language models, they still struggle when tested as text generators. In this seminar we analyse the reasons of such a counter-intuitive behaviour, mainly guided by the considerations and findings […]