Secondo Incontro

DM-ReTiS

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

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