Publications and Preprints

Google Scholar

Machine Learning

1. $f$-Divergence Based Classification: Beyond the Use of Cross-Entropy
   Nicola Novello, Andrea M. Tonello
   ICML – International Conference on Machine Learning, 2024
   [code]

2. Robust Classification with Noisy Labels Based on Posterior Maximization
   Nicola Novello, Andrea M. Tonello
   Preprint

3. Mutual Information Estimation via $f$-Divergence and Data Derangements
   Nunzio A. Letizia, Nicola Novello, Andrea M. Tonello
   NeurIPS – Annual Conference on Neural Information Processing Systems, 2024
   [code]

4. Copula Density Neural Estimation
   Nunzio A. Letizia, Nicola Novello, Andrea M. Tonello
   To appear in TNNLS. Currently preprint

Machine Learning for Communications

1. Data-Driven Grid Monitoring Under Label Noise Using Power Line Modems
   Nicola Novello, Andrea M. Tonello
   SmartGridComm – IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, 2025
   [code]

2. Label Noise Resistant $f$-Divergence Receiver for Power Line Communications
   Nicola Novello, Andrea M. Tonello
   SmartGridComm – IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, 2024
   [code]

3. Human Detection Based on Learning and Classification of Radio Scattering Parameters and Para-Hermitian Eigenvalue Decomposition
   Frank E. Ebong, Nicola Novello, Andrea M. Tonello
   PIMRC – IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2024
   [code]

Reinforcement Learning for Communications

1. Recurrent DQN for radio fingerprinting with constrained measurements collection
   Nicola Novello, Andrea M. Tonello
   ICT Express (2024)
   [code]

2. Reinforcement Learning for Simplified Training in Fingerprinting Radio Localization
   Nicola Novello, Andrea M. Tonello
   BalkanCom – IEEE International Balkan Conference on Communications and Networking, 2023