Copertina

Fold Bifurcation Identification through Scientific Machine Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Habib, Giuseppe, Horváth, Ádám
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Adaptation and Self-Organizing Systems
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks
di: Goldmann, Mirko, et al.
Pubblicazione: (2021)

Self-induced stochastic resonance: A physics-informed machine learning approach
di: Savaliya, Divyesh, et al.
Pubblicazione: (2025)

Online Physics-Informed Dynamic Mode Decomposition: Theory and Applications
di: Chen, Biqi, et al.
Pubblicazione: (2024)

Adaptive control of recurrent neural networks using conceptors
di: Pourcel, Guillaume, et al.
Pubblicazione: (2024)

Hybrid Adaptive Modeling using Neural Networks Trained with Nonlinear Dynamics Based Features
di: Liu, Zihan, et al.
Pubblicazione: (2025)

Spatiotemporal System Forecasting with Irregular Time Steps via Masked Autoencoder
di: Zhu, Kewei, et al.
Pubblicazione: (2026)

ReLaX-Net: Reusing Layers for Parameter-Efficient Physical Neural Networks
di: Tsuchiyama, Kohei, et al.
Pubblicazione: (2025)

Plateaus, Optima, and Overfitting in Multi-Layer Perceptrons: A Saddle-Saddle-Attractor Scenario
di: Maleknia, Alex Alì, et al.
Pubblicazione: (2026)

Kuramoto Oscillators and Swarms on Manifolds for Geometry Informed Machine Learning
di: Jacimovic, Vladimir
Pubblicazione: (2024)

Learning Dynamic Stability Landscapes in Synchronization Networks
di: Nauck, Christian, et al.
Pubblicazione: (2026)

Online Meal Detection Based on CGM Data Dynamics
di: Tavasoli, Ali, et al.
Pubblicazione: (2025)

A Dynamical Systems Perspective on the Analysis of Neural Networks
di: Chemnitz, Dennis, et al.
Pubblicazione: (2025)

Scalable Physics-Informed Neural Differential Equations and Data-Driven Algorithms for HVAC Systems
di: Zhai, Hanfeng, et al.
Pubblicazione: (2026)

Solving a Delay Differential Equation through Fourier Transform
di: Ohira, Kenta, et al.
Pubblicazione: (2024)

Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning
di: Nauck, Christian, et al.
Pubblicazione: (2024)

Slow passage through the Busse balloon -- predicting steps on the Eckhaus staircase
di: Asch, Anna, et al.
Pubblicazione: (2023)

Amplitude Enhancements through rewiring of a non-autonomous delay system
di: Ohira, Kenta, et al.
Pubblicazione: (2024)

Bifurcations of nonlinear dynamics in coupled twin spin masers
di: Wang, Tishuo, et al.
Pubblicazione: (2024)

Communication-Induced Bifurcation and Collective Dynamics in Power Packet Networks: A Thermodynamic Approach to Information-Constrained Energy Grids
di: Hikihara, Takashi
Pubblicazione: (2026)

Machine learning identifies nullclines in oscillatory dynamical systems
di: Prokop, Bartosz, et al.
Pubblicazione: (2025)

Phase autoencoder for limit-cycle oscillators
di: Yawata, Koichiro, et al.
Pubblicazione: (2024)

Thermodynamic limit in learning period three
di: Terasaki, Yuichiro, et al.
Pubblicazione: (2024)

Entropy-statistical approach to phase-locking detection of pulse oscillations: application for the analysis of biosignal synchronization
di: Boriskov, Petr, et al.
Pubblicazione: (2024)

Predicting Steady-State Behavior in Complex Networks with Graph Neural Networks
di: Pradhan, Priodyuti, et al.
Pubblicazione: (2025)

Hebbian Physics Networks: A Self-Organizing Computational Architecture Based on Local Physical Laws
di: Auti, Gunjan, et al.
Pubblicazione: (2025)

Multifractal-spectral features enhance classification of anomalous diffusion
di: Seckler, Henrik, et al.
Pubblicazione: (2024)

Contingency Identification of Cascading Failures in Power Transmission Networks
di: Zhai, Chao, et al.
Pubblicazione: (2019)

Bifurcation analysis of a two-neuron central pattern generator model for both oscillatory and convergent neuronal activities
di: Muramatsu, Kotaro, et al.
Pubblicazione: (2024)

A Framework for Inherently Safer AGI through Language-Mediated Active Inference
di: Wen, Bo
Pubblicazione: (2025)

Nonlinear synchronization through vector subharmonic entrainment
di: Stoliarov, Dmitrii, et al.
Pubblicazione: (2025)

Dynamics of oscillator populations globally coupled with distributed phase shifts
di: Smirnov, Lev A., et al.
Pubblicazione: (2023)

Two distinct transitions in a population of coupled oscillators with turnover: desynchronization and stochastic oscillation quenching
di: Ozawa, Ayumi, et al.
Pubblicazione: (2023)

How Network Topology Affects the Strength of Dangerous Power Grid Perturbations
di: Alvares, Calvin, et al.
Pubblicazione: (2023)

Forming superhelix of double stranded DNA from local deformation
di: Koh, Heeyuen, et al.
Pubblicazione: (2023)

A Framework for Synthetic Power System Dynamics
di: Büttner, Anna, et al.
Pubblicazione: (2023)

Two-dimensional hydrodynamic simulation for synchronized oscillatory flows in two collapsible channels connected in parallel
di: Araya, Yuki, et al.
Pubblicazione: (2023)

Waveform Proportionality and Taylor's Law Induced by Synchronization of Periodic and Chaotic Oscillators
di: Mitsui, Yuzuru, et al.
Pubblicazione: (2023)

Integrability of a globally coupled complex Riccati array: quadratic integrate-and-fire neurons, phase oscillators and all in between
di: Cestnik, Rok, et al.
Pubblicazione: (2023)

Complex Pathways to Cooperation Emergent from Asymmetry in Heterogeneous Populations
di: Guo, Hao, et al.
Pubblicazione: (2023)

Synchronization and its slow decay in noisy oscillators with simplicial interactions
di: Marui, Yuichiro, et al.
Pubblicazione: (2023)