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 […]