Carlo Baldassi

I graduated in Trieste in Theoretical Physics with a thesis in applications to Computer Science and large scale discrete optimization problems. I then moved to Turin where I did a PhD in Computational Neuroscience, and also got interested in Bioinformatics and inference problems. Throughout I kept an eye on theoretical aspects of Machine Learning and Neural Networks, which are my main focus lately.

Assistant Professor
Research interests

My research interests focus on the application of Statistical Mechanics to machine learning and computational neuroscience, and more generally to large-scale inference and optimization problems. Lately I've been particularly interested in studying the loss landscape of neural networks, analytically and numerically.

Working papers
P Chaudhari, A Choromanska, S Soatto, Y LeCun, C Baldassi, C Borgs, J Chayes, L Sagun, R Zecchina
ICLR 2017, Journal of Statistical Mechanics, 2019
C Baldassi, F Gerace, HJ Kappen, C Lucibello, L Saglietti, E Tartaglione, R Zecchina
Physical review letters, 2018
C Baldassi, R Zecchina
Proceedings of the National Academy of Sciences, 2018
C Baldassi, F Pittorino, R Zecchina
Proceedings of the National Academy of Sciences, 2019
Selected Publications

I teach and have taught a number of programming courses, from undergraduate to PhD level, using Python and Julia.