All times are GMT-3
To watch on YouTube, please use: https://youtu.be/gVcNxwncwcg (from 9:00-12:45) and https://youtu.be/1lZgg4K1EQI (from 14:30-17:30).
| Time | Activity/Speaker |
| 9:00-9:15 | Welcome |
| 9:15-10:00 | “Disorder, frustration, and beyond” [1] Marc Mezard, Bocconi University, Milano, Italy |
| 10:00-10:45 | “A wonderful five-year-long interaction” Gabriele Veneziano, CERN, Switzerland & Collège de France |
| 10:45-11:15 | coffee break |
| 11:15-12:00 | “Virasoro algebras and cohomology” Andrea Solotar, DM, FCEN-UBA & IMAS, CONICET-UBA. |
| 12:00-12:45 | “Deep learning as a metaphor for cognition” Enzo Tagliazucchi, DF, FCEN-UBA & IFIBA, CONICET-UBA |
| 12:45:14:30 | lunch break/posters |
| 14:30-15:15 | “Econophysics and the Complexity of Financial Markets” Viktoriya Semeshenko, FCE-UBA & CONICET |
| 15:15:15:30 | break |
| 15:30-17:30 | Remembering Miguel Angel Virasoro |
| 17:30 | Closing and final ceremony |
[1] Abstract: “We are firmly convinced that the techniques developed for spin glasses: the replica theory, the TAP approach and the cavity method can be applied to a myriad of other problems”. This sentence was part of the introduction to “Spin glass theory and Beyond” that we wrote in 1987 with Giorgio Parisi and Miguel Virasoro. This talk will review some of the impact of spin glass theory, insisting on the main breakthroughs that had to be overcome in order to develop a full mean-field framework. It will also explain the major new challenge posed by its application to the modeling of deep learning (and possibly on brain learning): developing the theory of spin glasses with structured ensembles of quenched disorder.