Workshop on Statistical Mechanics and Applications
Deep Learning and Statistical MechanicsFebruary 20th, 2018
Organizers: Diego Alberici, Pierluigi Contucci, Emanuele Mingione
Institution: University of Bologna,
Grant: PRIN "Statistical Mechanics and Complexity"
Participants:
Elena Agliari, "Sapienza" Università di Roma
Diego Alberici, Università di Bologna.
Pierluigi Contucci, Universita di Bologna.
Rachele Luzi, Università di Bologna.
Marco Molari, Ecole Normale Superieure, Paris
Emanuele Mingione, Università di Bologna.
Rosanna Turrisi, Universita' di Ferrara
Cecilia Vernia, Universita di Modena and Reggio Emilia.
Topics:
- Hierarchical Spin Glasses.
- Machine and Deep learning.
- Learning and Retrieval.
- Inverse Problems in Statistical Mechanics.
Schedule: Aula Pincherle, from 11 to 13 and from 15 to 17 and beyond.
- 11.00 Pierluigi Contucci: From the perceptron, the SK and the Hopfield model to the multy-populated cases. A statistical mechanics path to machine and deep learning.
- 11.30 Emanuele Mingione: "Convexity in bi-partite mean-field models"
- 12.00 Diego Alberici: "A statistical mechanics approach to real MRI neural data"
- 15.00 Cecilia Vernia: " Inverse Problem in Mean-Field Models"
- 15.30 Elena Agliari: "Dreaming and Unlearning in Neural Networks"
- 16.00 Rachele Luzi: "Focusing belief propagation: traffic slowdowns predictions"
- 16.30 Discussion