14:30 Federico Nesti (ReTiS), Uncertainty estimation for deep learning

14:50 Katerina Papagiannouli (UniPi), Optimisation landscape of generative deep linear neural networks trained with Bures-Wasserstein

15:10 Giulio Rossolini (ReTiS), Metodi di ottimizzazione per attacchi avversari e difese real-world

15:30 Samuele Saviozzi (UniPi), Reinforcement learning in quantitative finance

15:40 coffee break

16:00 Andrea Agazzi (UniPi), Correcting covariance estimation for scalable Bayesian inference with SGD

16:20 Fabio Brau (ReTiS), Lipschitz-Bounded Neural Networks

16:40 Francesco Triggiano (UniPi), Gaussian processes based data augmentation and expected signature for time series classification

17:00 Discussione