Latest Research in Adaptation and Self-Organizing Systems

Top Research Topics in Adaptation and Self-Organizing Systems

• Adaptation and Self-Organizing Systems — 5 papers
• Nonlinear Dynamics and Pattern Formation — 3 papers
• Machine Learning — 3 papers
• Chaotic Dynamics — 1 papers
• Model Reduction and Neural Networks — 1 papers
• Real-time simulation and control systems — 1 papers
• Machine Learning — 1 papers
• Disordered Systems and Neural Networks — 1 papers
• Computational Physics — 1 papers
• Biomimetic flight and propulsion mechanisms — 1 papers

Highest-Cited Papers

1. Fluctuation–dissipation of the Kuramoto model on fruit-fly connectomes
2. Ladder of information limits on prediction for reduced-order models
3. Stochastic Semantic Fields for Sentiment-Driven Models
4. Beyond Arbitrary Geometry: Topology Generalization In neural PDE Operators
5. FieldDOperator: Matrix-Valued Coupling for D-Operator on FieldMap Graphs
6. FieldDOperator: Matrix-Valued Coupling for D-Operator on FieldMap Graphs
7. When higher-order interactions enhance synchronization: the case of the Kuramoto model
8. Double explosive transitions in adaptive multilayer networks with higher-order interactions
9. Estimation of System Parameters Including Repeated Cross-Sectional Data through Emulator-Informed Deep Generative Model
10. Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference
11. On the relationship between equilibria and dynamics in large, random neuronal networks
12. Criticality of nonreciprocal phase oscillators with long-range interactions
13. Physics-informed Learning for Orbital Uncertainty Propagation with Error Bounds
14. SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning
15. Topology-Biased Resource Constraints Shape Synchronization Pathways in Hindmarsh-Rose Oscillator Networks
16. A Flying Lorenz Butterfly
17. Loss Landscape Geometry of Partial Differential Equation Emulators: Or, Symmetry Learning via Gradient Alignment
18. Inertial synchronization of networked oscillators in arbitrary dimensions