Dynamical mean field theory for models of confluent tissues and beyond

DOI10.21468/scipostphys.15.5.219MaRDI QIDQ6598141

Persia Jana Kamali, Pierfrancesco Urbani

Publication date: 4 September 2024

Published in: SciPost Physics (Search for Journal in Brave)

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Artificial intelligence (68Txx) Time-dependent statistical mechanics (dynamic and nonequilibrium) (82Cxx)

Cites Work

• Unnamed Item
• Landscape and training regimes in deep learning
• A spin Glass model for reconstructing nonlinearly encrypted signals corrupted by noise
• Statistical mechanics of learning
• The simplest model of jamming
• Spin-glass theory for pedestrians
• The effective noise of stochastic gradient descent
• Optimization landscape in the simplest constrained random least-square problem
• Out-of-equilibrium dynamical equations of infinite-dimensional particle systems I. The isotropic case
• Gradient descent dynamics and the jamming transition in infinite dimensions
• Theory of Simple Glasses
• Out-of-equilibrium dynamical mean-field equations for the perceptron model
• Surfing on minima of isostatic landscapes: avalanches and unjamming transition
• A continuous constraint satisfaction problem for the rigidity transition in confluent tissues
• Corrigendum: A continuous constraint satisfaction problem for the rigidity transition in confluent tissues (2023 J. Phys. A: Math. Theor. 56 115003)
• Tractability from overparametrization: the example of the negative perceptron

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