Cover Image

Leveraging chaotic transients in the training of artificial neural networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiménez-González, Pedro, Soriano, Miguel C., Lacasa, Lucas
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Disordered Systems and Neural Networks Chaotic Dynamics Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamical stability and chaos in artificial neural network trajectories along training
by: Danovski, Kaloyan, et al.
Published: (2024)

Recurrence Plots for the Analysis of Complex Systems
by: Marwan, Norbert, et al.
Published: (2025)

Landscape computations for the edge of chaos in nonlinear dynamical systems
by: Nakata, Motoki, et al.
Published: (2025)

Network reconstruction may not mean dynamics prediction
by: Yu, Zhendong, et al.
Published: (2024)

Phase analysis of Ising machines and their implications on optimization
by: Zhou, Shu, et al.
Published: (2025)

Chimera states in neural networks and power systems
by: Deng, Shengfeng, et al.
Published: (2023)

Dynamics and chaotic properties of the fully disordered Kuramoto model
by: León, Iván, et al.
Published: (2025)

Nonequilibrium Thermodynamics of Associative Memory Continuous-Time Recurrent Neural Networks
by: Aguilera, Miguel, et al.
Published: (2025)

Characterising the dynamics of unlabelled temporal networks
by: Caligiuri, Annalisa, et al.
Published: (2024)

Regressing bubble cluster dynamics as a disordered many-body system
by: Maeda, Kazuki, et al.
Published: (2021)

Universality, Robustness, and Limits of the Eigenstate Thermalization Hypothesis in Open Quantum Systems
by: Almeida, Gabriel, et al.
Published: (2025)

Beyond Nearest-neighbour Universality of Spectral Fluctuations in Quantum Chaotic and Complex Many-body Systems
by: Kundu, Debojyoti, et al.
Published: (2024)

Thermalization of two- and three-dimensional classical lattices
by: Wang, Zhen, et al.
Published: (2020)

Entropy Production Rate in Stochastically Time-evolving Asymmetric Networks
by: Pham, Tuan, et al.
Published: (2026)

Finite-size scaling and dynamics in a two-dimensional lattice of identical oscillators with frustrated couplings
by: Juhász, Róbert, et al.
Published: (2024)

Assessment of spectral phases of non-Hermitian quantum systems through complex and singular values
by: Prasad, Mahaveer, et al.
Published: (2025)

Response Theory Identifies Reaction Coordinates and Explains Critical Phenomena in Noisy Interacting Systems
by: Zagli, Niccolò, et al.
Published: (2023)

A soluble model of a Non-Equilibrium Steady State: the van Kampen objection and other lessons
by: Kapustin, Anton
Published: (2024)

Interplay between two mechanisms of resistivity
by: Kapustin, Anton, et al.
Published: (2024)

Nature of the Volcano Transition in the Fully Disordered Kuramoto Model
by: Prüser, Axel, et al.
Published: (2023)

Role of Coupling Asymmetry in the Fully Disordered Kuramoto Model
by: Prüser, Axel, et al.
Published: (2024)

Topologically protected synchronization in networks
by: Ostilli, Massimo
Published: (2025)

Multilayer directed random networks: Scaling of spectral properties
by: Tapia-Labra, G., et al.
Published: (2024)

Spectral density of correlated random matrices and nonmonotonic stability in hetero-associative memory networks
by: Tomoto, Arata, et al.
Published: (2025)

Effects of nonlinearity on Anderson localization of surface gravity waves
by: Ricard, Guillaume, et al.
Published: (2024)

Active and transfer learning with partially Bayesian neural networks for materials and chemicals
by: Allec, Sarah I., et al.
Published: (2025)

Suppression of chaos in a partially driven recurrent neural network
by: Takasu, Shotaro, et al.
Published: (2023)

Experimental Detection of Dissipative Quantum Chaos
by: Wold, Kristian, et al.
Published: (2025)

Data assimilation for networks of coupled oscillators: Inferring unknown model parameters from partial observations
by: Smith, Lauren D., et al.
Published: (2023)

Emergent oscillations and chaos in non-compliant microfluidic networks
by: Shao, Yanxuan, et al.
Published: (2025)

Network analysis of memristive device circuits: dynamics, stability and correlations
by: Barrows, Frank, et al.
Published: (2024)

Optimality and annealing path planning of dynamical analog solvers
by: Zhou, Shu, et al.
Published: (2026)

Consecutive-gap ratio distribution for crossover ensembles
by: Duarte-Filho, Gerson C., et al.
Published: (2025)

Approach to predicting extreme events in time series of chaotic dynamical systems using machine learning techniques
by: Andreani, Alexandre C., et al.
Published: (2025)

Energy transport and chaos in a one-dimensional disordered nonlinear stub lattice
by: Cheong, Su Ho, et al.
Published: (2025)

Hierarchy of chaotic dynamics in random modular networks
by: Kuśmierz, Łukasz, et al.
Published: (2024)

Sensitivity of the spectral form factor to short-range level statistics
by: Buijsman, Wouter, et al.
Published: (2020)

Superuniversal Statistics with Topological Origins for non-Hermitian Scattering Singularities
by: Shaibe, Nadav, et al.
Published: (2025)

Universal Frequency Correlations and Recurrence Statistics of Complex Impedance Matrices
by: Shaibe, Nadav, et al.
Published: (2025)

Noise resilience of deterministic analog combinatorial optimization solvers
by: Gneiting, Clemens, et al.
Published: (2025)