PhD in Condensed Matter physics from SISSA, Trieste, Italy
Theory of neural network learning dynamics.
We want to describe the general mechanism that makes neural networks so effective in solving real life problems. We aim to use methods from statistical physics to build a model describing the dynamics of neural network parameters during training. We hope this insight will allow us to develop new training algorithms leading to improved networks.