Latest Research in Adaptation and Self-Organizing Systems

Top Research Topics in Adaptation and Self-Organizing Systems

• Machine Learning — 6 papers
• Adaptation and Self-Organizing Systems — 3 papers
• Model Reduction and Neural Networks — 2 papers
• Neural Networks and Reservoir Computing — 2 papers
• Quantitative Methods — 2 papers
• Neural Networks Stability and Synchronization — 1 papers
• Physics and Society — 1 papers
• Neural Networks and Applications — 1 papers
• Dynamical Systems — 1 papers
• Numerical Analysis — 1 papers

Highest-Cited Papers

1. Bayesian bilevel operator learning with low-rank adaptation for efficient uncertainty quantification of PDE inverse problems
2. Dynamics-informed machine learning for recovering extensive missing systems dynamics
3. Automatic denoising and differentiation based on Savitzky-Golay filtering and Homogeneous Differentiators for attractor reconstruction via differential embedding
4. Windows of opportunity in blinking complex networks: Synchronizability under intermediate switching frequencies
5. Inferring Coupling Strength from the Kuramoto Order Parameter
6. A simultaneous framework for training neural ODEs using full discretization and large-scale nonlinear programming
7. Diffusion learning reveals viable parameter manifolds and compensation geometry in biological dynamical systems
8. A distributed-delay model for the El Niño Southern Oscillation with a minimum delay: a case study of the shifted linear chain trick
9. Equilibrium Training of Energy-Based Models with Parallel Trajectory Tempering
10. Asymmetric Coupling Anisotropy for Causal Information Filtering in Physical Reservoirs
11. Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach
12. Learning Informative Prior with Infinite-Dimensional Continuous Normalizing Flow for Bayesian Inverse Problem
13. Phase-delays shape multistability and basin sizes in Kuramoto networks: analytical estimates from network structure
14. TITLE: A Multi-Scale Novel Neural Networks Learning Algorithms Optimization Framework
15. Mamba-Assisted Non-Markovian Closure for Reduced-Order Modeling
16. Sparse semi-interpretable networks for discovering nonlinear dynamics with time-varying parameters and switching structures
17. Dandelion: A Spherical Flower for Neural Simulation of Planetary Dynamics
18. Neither Precision Nor Architecture Alone: Controlled Tests of Failure Remedies for Physics-Informed Neural Networks
19. ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning
20. Quantum Reservoir Computing with Physics-Informed Correction for Reduced-Order PDE Forecasting