Copertina

Glassy dynamics near the interpolation transition in deep recurrent networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hertz, John, Tyrcha, Joanna
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Disordered Systems and Neural Networks
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Glassy dynamics in deep neural networks: A structural comparison
di: Winter, Max Kerr, et al.
Pubblicazione: (2024)

Information and Configurational Entropy in Glassy Systems
di: Fraenkel, Ittai, et al.
Pubblicazione: (2024)

Glassy Dynamics from First-Principles Simulations
di: Pabst, Florian, et al.
Pubblicazione: (2024)

Computing frustration and near-monotonicity in deep neural networks
di: Wendin, Joel, et al.
Pubblicazione: (2025)

Connectivity structure and dynamics of nonlinear recurrent neural networks
di: Clark, David G., et al.
Pubblicazione: (2024)

Critical feature learning in deep neural networks
di: Fischer, Kirsten, et al.
Pubblicazione: (2024)

Guerra interpolation for place cells
di: Centonze, Martino Salomone, et al.
Pubblicazione: (2024)

On the nature of the glass transition in metallic glasses after deep relaxation
di: Makarov, A. S., et al.
Pubblicazione: (2025)

Improving deep neural network performance through sampling
di: Ghantasala, Lakshmi A., et al.
Pubblicazione: (2025)

Competing nonlinearities, criticality, and order-to-chaos transition in deep networks
di: Lesser, Omri, et al.
Pubblicazione: (2026)

Statistical mechanics of vector Hopfield network near and above saturation
di: Nicoletti, Flavio, et al.
Pubblicazione: (2025)

Early warning signals for phase transitions in networks
di: Goltsev, A. V., et al.
Pubblicazione: (2026)

Arbitrage equilibrium and the emergence of universal microstructure in deep neural networks
di: Venkatasubramanian, Venkat, et al.
Pubblicazione: (2024)

Anomalous correlation-induced dynamical phase transitions
di: Khan, Niaz Ali, et al.
Pubblicazione: (2023)

Renormalization group for deep neural networks: Universality of learning and scaling laws
di: Coppola, Gorka Peraza, et al.
Pubblicazione: (2025)

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
di: Barbier, Jean, et al.
Pubblicazione: (2025)

Phase transitions from linear to nonlinear information processing in neural networks
di: Matsumura, Masaya, et al.
Pubblicazione: (2025)

Linear equivalence of nonlinear recurrent neural networks
di: Clark, David G.
Pubblicazione: (2026)

Numerical study of Darcy's law of yield stress fluids on a deep tree-like network
di: Munier, Stéphane, et al.
Pubblicazione: (2024)

A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
di: Pacelli, R., et al.
Pubblicazione: (2022)

On the relationship between equilibria and dynamics in large, random neuronal networks
di: Yang, Xiaoyu, et al.
Pubblicazione: (2025)

Frustrated magnets in the limit of infinite dimensions: dynamics and disorder-free glass transition
di: Mauri, Achille, et al.
Pubblicazione: (2023)

Structure of activity in multiregion recurrent neural networks
di: Clark, David G., et al.
Pubblicazione: (2024)

Network-theory based modeling of avalanche dynamics in percolative tunnelling networks
di: Dey, Vivek, et al.
Pubblicazione: (2024)

Scaling of many-body localization transitions: Quantum dynamics in Fock space and real space
di: Scoquart, Thibault, et al.
Pubblicazione: (2025)

Non-equilibrium dynamics of localization phase transition in the non-Hermitian Disorder-Aubry-André model
di: Sun, Yue-Mei, et al.
Pubblicazione: (2024)

Stable real-energy spectral dynamics with topological transitions and non-Hermitian many-body localization
di: Cheng, Shujie, et al.
Pubblicazione: (2023)

Intrinsic Limitation of Conductivity in Depolymerized Sodium-ion Glassy Networks
di: Legrand, Léo, et al.
Pubblicazione: (2025)

Is the cortical dynamics ergodic? A numerical study in partially symmetric networks of spiking neurons
di: Tixidre, Ferdinand, et al.
Pubblicazione: (2025)

How noise affects memory in linear recurrent networks
di: Guan, JingChuan, et al.
Pubblicazione: (2024)

Solution of a large nonlinear recurrent neural network at fixed connectivity
di: Wakhloo, Albert J.
Pubblicazione: (2026)

High-dimensional dynamical systems: co-existence of attractors, phase transitions, maximal Lyapunov exponent and response to periodic drive
di: Fournier, Samantha J., et al.
Pubblicazione: (2025)

Thermally activated dynamics of annealed glasses near the yielding transition under cyclic shear
di: Graham, Ian R, et al.
Pubblicazione: (2024)

Statistical mechanics of extensive-width Bayesian neural networks near interpolation
di: Barbier, Jean, et al.
Pubblicazione: (2025)

Emergent weight morphologies in deep neural networks
di: de Jong, Pascal, et al.
Pubblicazione: (2025)

Guerra interpolation for inverse freezing
di: Albanese, Linda, et al.
Pubblicazione: (2025)

Phase induced localization transition
di: Liu, Tong, et al.
Pubblicazione: (2024)

Finite-time Lyapunov exponents of deep neural networks
di: Storm, L., et al.
Pubblicazione: (2023)

Liquid and solid layers in a thermal deep learning machine
di: Huang, Gang, et al.
Pubblicazione: (2025)

Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation
di: Barbier, Jean, et al.
Pubblicazione: (2025)