Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks

17 Mar 2018Gavin HartnettEdward ParkerEdward Geist

Some interesting recent advances in the theoretical understanding of neural networks have been informed by results from the physics of disordered many-body systems. Motivated by these findings, this work uses the replica technique to study the mathematically tractable bipartite Sherrington-Kirkpatrick (SK) spin glass model, which is formally similar to a Restricted Boltzmann Machine (RBM) neural network... (read more)

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