If you are working on generative AI with an information theoretic approach, you may be interested in taking a look at our recent work on: Mutual information estimation – NeurIPS 2024 [...]
I am happy to deliver a tutorial on Statistical Learning with Generative Models for Communications at IEEE ICC 2023 on June 1st, 2023. Machine learning is gaining more and more interest in [...]
I will have soon open positions for pre-doc scientists. If you are interested in pursuing a PhD in a lively and international environment, and you have the ambition to contribute to science, you [...]
Some years ago a novel filter bank modulation technique was conceived: Cyclic Filter Bank Modulation (CB-FMT) [1]-[2]. The main principles, efficient realization and equalization in double [...]
Optimal data detection and decoding in known channels is a well studied topic whose solution is given by the maximum a posteriori probability (MAP) criterion, which is optimal in a minimum error [...]
Learning the statistics of physical phenomena has been a long-time research objective. The advent of machine learning methods has offered effective tools to tackle such an objective in several [...]
We are offering a Project Assistant Position, in the framework of the international ERASMUS+ KA2 Project “NEON – Network of Competences on Internet of Things”. The position entails 20 [...]
If you are interested on IoT, you may want to see a recent interview made by prof. Jorge Finochietto from the University of Cordoba, Argentina. Hers is the video “Conversatorio Andrea [...]
Very honored to have received the Best Paper Award at IEEE ISPLC 2021 together with Nunzio Letizia. Very encouraging to keep working on novel neural channel capacity estimators and capacity [...]