Pietro Bongini (University of Florence) Apr 22, 2020 – 11:00 AM Conference Meeting Description The recent release of COVID-19 spike glycoprotein allows detailed analysis of the structural features that are required for stabilizing the infective form of its quaternary assembly. Trying to disassemble the trimeric structure of COVID-19 spike glycoprotein, we analyzed single protomer surfaces […]

Matteo Tiezzi (University of Siena) Apr 15, 2020 – 11:00 AM Conference Meeting Description Many recent methods for unsupervised or self-supervised representation learning train feature extractors by maximizing an estimate of the mutual information (MI) between different views of the data. This comes with several immediate problems. For example, MI is notoriously hard to estimate, […]

Gabriele Ciravegna (University of Florence) Mar 4, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Deep neural networks are usually considered black-boxes due to their complex internal architecture, that cannot straightforwardly provide human-understandable explanations on how they behave. Indeed, Deep Learning is still viewed with skepticism in those real-world domains […]

Luca Pasqualini (University of Siena) Feb 12, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description AlphaGo (AG) and all of its derivatives can play with superhuman strenght because they are able to predict the win-loss outcome with great accuracy. However, Go as a game is decided by a final score, […]

Alberto Rossi (University of Florence) Feb 19, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description This paper extends the fully recursive perceptron network (FRPN) model for vectorial inputs to include deep convolutional neural networks (CNNs) which can accept multi-dimensional inputs. A FRPN consists of a recursive layer, which, given a […]

Marco Corneli Feb 19, 2020 – 11:45 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description We consider textual interaction data involving two disjoint sets of individuals/objects. An example of such data is given by the reviews on web platforms (e.g. Amazon, TripAdvisor, etc.) where buyers comment on products/services they bought. We develop a […]

Valerio Basile (University of Turin) Feb 12, 2020 – 11:40 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Today’s Web represents a huge repository of human knowledge, not only about facts, people, places and so on (encyclopedic knowledge), but also about everyday beliefs that average human beings are expected to hold (commonsense knowledge). […]

Lisa Graziani (University of Florence) Feb 5, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Sketch generation from photos can be seen as a classic task of image to image translation with GANs. But in our work the sketch generation is addressed as an unsupervised problem based on a vectorial […]

Andrea Zugarini (University of Florence) Jan 29, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description We consider a scenario where an artificial agent is reading a stream of text composed of a set of narrations, and it is informed about the identity of some of the individuals that are mentioned […]

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. […]