Published Sep. 16, 2022 2:40 PM

Deep neural networks (DNNs) trained solely from data are known to suffer from instabilities. In the presence of some physical model of the observed system it is therefore natural to attempt to increase robustness by incorporating the prior knowledge.

Published Sep. 10, 2020 12:30 PM

Motivated by real problems in computational chemistry, in which the huge complexity of the chemical space may prevent the complete exploration of the space itself, this project aims at developing statistical learning tools to support chemists (but not only) in their research.

Published Sep. 9, 2020 9:45 AM

Entertainment and e-commerce websites produce abundant user-item interaction clicking data. This can be used for making recommendations to the users through recommender systems. Good quality recommendations are of value to both providers and users of items, helping users to find the items they are interested in.