in this course we propose and analyze different classes of linear and nonlinear algorithms that allow asymptotic convergence towards consensus. We relate dynamical properties (asymptotic consensus) with graph theoretical features of the network of interactions considered. we study recently proposed criteria involving unilateral interactions, joint-agent interactions and adversarially robust consensus.
The course addresses the problem of image restoration, especially denoising and deblurring. This topic has been treated for decades in the image processing community and the principal objective of the course is giving to the audience an overview of the proposed methods, from basic to advanced ones.
This course aims to provide both theoretical and practical tools to tackleestimation problems encountered in several areas of engineering and science. In particular, it is shown how to formulate such estimation problems as instances of a general dynamical system state estimation problem and how to derive the mathematical solution of the latter problem. Then it […]
The course will give to the students the fundamentals of visible light communications (VLC). VLC refers to a data communications medium using visible light between 400 THz (780 nm) and 800 THz (375 nm). Low-cost wireless communication network can be created using VLC, often known as Li-Fi systems. LiFi is a potential solution to the […]
(the slides of this and other presentations are available in the PhDinfo restricted area) PhDinfo seminar held on April 16th, 2021 by Francesco Marchetti Abstract. The memory module in Deep Learning architecture is fundamental to solve sequential andtemporal task such as speech recognition, language modelling, sentiment analysis.The Recurrent Neural Networks (RNN), analysing recurrently each element of […]
(the slides of this and other presentations are available in the PhDinfo restricted area) PhDinfo seminar held on April 16th, 2021 by Lorenzo Biotti, XXXVI cycle Abstract. In this presentation I’m going to give a quick overview of Molecular Communications.In the first part, I present a recent work, so I want to thank Gian Marco Roselli, […]
In these days we have had the first PhD defense held on line as a consequence of the restrictions caused by the Covid-19 emergency. Even in this really strange and dramatic situation, with everybody (candidates, committee, friends and parents) remotely connected on the web, it was a great great emotion and satisfaction to hear Leonardo […]
Abstract: Visual Question Answering (VQA) is an emerging topic which aims at automatically answering questions referred to a specific image. Together with image captioning, VQA is the main point of contact between the two heterogeneous communities of Natural Language Processing (NLP) and Computer Vision. VQA datasets contain different types of questions which require reasoning about […]
Abstract The problem of selecting the best sparse linear regression model is considered a relevant optimization problem. Usually this problem is solved through a sequence of separate steps, alternating between choosing a subset of features and then finding a best fit regression. In this seminar a new approach, based on a mixed-integer nonlinear optimization problem, […]