Replica symmetry breaking in supervised and unsupervised Hebbian networks

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Statistical mechanics of random media, disordered materials (including liquid crystals and spin glasses) (82D30) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Cites Work

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Broken replica symmetry bounds in the mean field spin glass model
On the equivalence of Hopfield networks and Boltzmann machines
Deep Boltzmann machines: rigorous results at arbitrary depth
Learning and retrieval operational modes for three-layer restricted Boltzmann machines
Annealing and replica-symmetry in deep Boltzmann machines
Replica symmetry breaking in dense Hebbian neural networks
Statistical Mechanics of Learning
Cluster derivation of Parisi's RSB solution for disordered systems
The effective temperature
Random-energy model: An exactly solvable model of disordered systems
Replica symmetry breaking in mean-field spin glasses through the Hamilton–Jacobi technique
Statistical Mechanics of Neural Networks
Modeling Brain Function
Statistical Physics of Spin Glasses and Information Processing
An Introduction to the Theory of Spin Glasses and Neural Networks
A transport equation approach for deep neural networks with quenched random weights
Neural networks and physical systems with emergent collective computational abilities.
Solving the spherical p -spin model with the cavity method: equivalence with the replica results
Replica symmetry breaking in neural networks: a few steps toward rigorous results
Machine learning and statistical physics: preface
Dense Hebbian neural networks: a replica symmetric picture of unsupervised learning
The emergence of a concept in shallow neural networks
Dense Hebbian neural networks: a replica symmetric picture of supervised learning
About the de Almeida-Thouless line in neural networks
Generative diffusion in very large dimensions
Parallel learning by multitasking neural networks

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