Statistical Mechanics of Learning Machines: from algorithmic and information theoretical limits to new biologically inspired paradigms
Funded by the Italian Ministry of University and Research (MUR) under the PRIN 2002 (cod. 20229T9EAT) in the framework of European Union - Next Generation EU (CUP: J53D2300364001)
Project Duration: 2023-2025
National Coordinator: Daniele Tantari. Head of local unit: Fabrizio Durante (former head: Adriano Barra).
Local Research Team: Linda Albanese, Adriano Barra, Fabrizio Durante, Maria Longobardi, Gianfausto Salvadori.
Other Institutions: University of Bologna (head of research unit: Daniele Tantari), Università "Luigi Bocconi".
Reasearch Output from the Unisalento Unit
E. Agliari, A. Alessandrelli, A. Barra, M.S. Centonze, F. Ricci-Tersenghi, Generalized hetero-associative neural networks. Arxiv manuscript (2024).
E. Agliari, A. Barra, P. Bianco, A. Fachechi, D. Pallara. The thermodynamic limit of mean field neural networks. Arxiv manuscript (2024).
M. S. Centonze, A. Treves, E. Agliari, A. Barra, Guerra interpolation for place cells. Arxiv manuscript (2024).
L. Albanese, About the AT line in Replica Symmetry Breaking assumption for spin glasses, Arxiv manuscript (2024).
L. Albanese, A. Alessandrelli. Boolean SK model, Arxiv manuscript (2024).
L. Albanese, A. Barra, P. Bianco, F. Durante, D. Pallara. Hebbian learning from first principles. J. Math. Phys., accepted, 2024. Arxiv paper.
L. Albanese, A. Alessandrelli, A. Annibale, A. Barra, Replica Symmetry Breaking is supervised and unsupervised Hebbian networks J. Phys. A: Math. & Theor. 57(16):165003. Arxiv manuscript (2024).
M. Aquaro, F. Alemanno, I. Kanter, F. Durante, A. Barra, E. Agliari. Hebbian Dreaming for small datasets, Neural Networks 173, 106174, webpage SSRN (2024).
E. Agliari, F. Alemanno, A. Barra, M. Castellana, D. Lotito, M. Piel. Inverse modeling of time-delayed interactions via the dynamic-entropy formalism. Phys. Rev. E 110, 024301, arxiv Arxiv manuscript (2024).
E. Agliari, A. Alessandrelli, A. Barra, F. Ricci-Tersenghi, Parallel learning in multitasking neural networks, Journal of Statistical Mechanics 113402 arxiv Arxiv manuscript (2023).