Boltzmann Machines as Generalized Hopfield Networks: A Review of Recent Results and Outlooks

Neural Networks with a Redundant Representation: Detecting the Undetectable

(2020) Elena Agliari et al.   PHYSICAL REVIEW LETTERS

Understanding deep learning is also a job for physicists

(2020) Lenka Zdeborová   Nature Physics

Generalized Guerra’s interpolation schemes for dense associative neural networks

(2020) Elena Agliari et al.   NEURAL NETWORKS

Machine learning and statistical physics: preface

(2020) Elena Agliari et al.   Journal of Physics A-Mathematical and Theoretical

Dreaming neural networks: Forgetting spurious memories and reinforcing pure ones

(2019) Alberto Fachechi et al.   NEURAL NETWORKS

Dreaming neural networks: rigorous results

(2019) Elena Agliari et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Non-convex Multi-species Hopfield Models

(2018) Elena Agliari et al.   JOURNAL OF STATISTICAL PHYSICS

Retrieving infinite numbers of patterns in a spin-glass model of immune networks

(2017) E. Agliari et al.   EPL

Emergence of Compositional Representations in Restricted Boltzmann Machines

(2017) J. Tubiana et al.   PHYSICAL REVIEW LETTERS

Statistical physics of inference: thresholds and algorithms

(2016) Lenka Zdeborová et al.   ADVANCES IN PHYSICS

Extensive Parallel Processing on Scale-Free Networks

(2014) Peter Sollich et al.   PHYSICAL REVIEW LETTERS

Immune networks: multi-tasking capabilities at medium load

(2013) E Agliari et al.   Journal of Physics A-Mathematical and Theoretical

Immune networks: multitasking capabilities near saturation

(2013) E Agliari et al.   Journal of Physics A-Mathematical and Theoretical

On the equivalence of Hopfield networks and Boltzmann Machines

(2012) Adriano Barra et al.   NEURAL NETWORKS

Parallel retrieval of correlated patterns: From Hopfield networks to Boltzmann machines

(2012) Elena Agliari et al.   NEURAL NETWORKS

A Hebbian approach to complex-network generation

(2011) E. Agliari et al.   EPL