SAILab

Barbara Toniella Corradini (University of Siena) When: Nov 24th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Nowadays, all the activities relating to the collection and management of waste play a fundamental role in improving living conditions of citizens. Nonetheless, there are obstacles which make it difficult to set up an effective […]

Maria Sofia Bucarelli (University of Rome) When: Nov 22nd, 2021 – 11:00 – 11:45 AM Where: Google meet link Description In this work, we formulate Newron: a generalization of the McCulloch&Pitts neuron structure. This new framework aims to explore additional desirable properties of artificial neurons. We show that some specializations of Newron allow the network […]

Elia Giuseppe Ceroni (University of Siena) When: Nov 1oth, 2021 – 11:00 – 11:45 AM Where: Google meet link Description In recent years, a number of Copy Number Variants detection tools using Whole Exome Sequencing data has become available, whilst there’s still no guidance on the usage of these tools in clinical settings since their […]

Federica Baccini (University of Siena) When: Nov 3rd, 2021 – 11:00 – 11:45 AM Where: Google meet link Description In this talk, a linear algebra based set up for computing the barycenter of multiplex similarity networks will be discussed. Multiplex networks are mathematical objects that allow to describe multiple types of relations among a fixed […]

Francesco Bodria (Scuola Normale Superiore) When: Oct 27th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Black box AI systems for automated decision making, often based on machine learning over (big) data, map a user’s features into a class or a score without exposing the reasons why. This is problematic not only […]

Simone Marullo (University of Siena) When: Oct 20th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Designing agents that autonomously learn in a visual environment is not that easy, since standard supervised offline strategies are not available. We want to discuss novel techniques, exploiting a human-like attention mechanism both for learning and […]

Giuseppe Alessio D’Inverno (University of Siena) When: Oct 13th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Conventional reduced order modeling techniques such as the reduced basis (RB) method (relying, e.g., on proper orthogonal decomposition (POD)) may incur in severe limita- tions when dealing with nonlinear time-dependent parametrized PDEs, as these are […]

Veronica Lachi (University of Siena) When: Oct 5th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description We introduce a new family of deep neural network models. Instead of specifying a discrete sequence of hidden layers, we parameterize the derivative of the hidden state using a neural network. The output of the network […]