Latest Research in Neural Dynamics Computational Flows

Top Research Topics in Neural Dynamics Computational Flows

• Machine Learning — 99 papers
• Numerical Analysis — 66 papers
• Model Reduction and Neural Networks — 40 papers
• Statistical Mechanics — 15 papers
• Dynamical Systems — 14 papers
• Neural dynamics and brain function — 14 papers
• Optimization and Control — 13 papers
• Adaptation and Self-Organizing Systems — 13 papers
• Chaotic Dynamics — 13 papers
• Chaos control and synchronization — 13 papers

Highest-Cited Papers

1. Weak Form Scientific Machine Learning: Test Function Construction for System Identification (1 citations)
2. Cleo: the fundamental design of a new superdroplet model for high computational performance (v0.39.0) (1 citations)
3. Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization
4. A Dynamical Bridge from Tearing-Mode Torque Balance to Forced Kuramoto Dynamics: Coherent Forcing Geometry and Mode Locking
5. A Dynamical Bridge from Tearing-Mode Torque Balance to Forced Kuramoto Dynamics: Coherent Forcing Geometry and Mode Locking
6. Going with the flow to solve for symmetry-driven PDE dynamics with physics-informed neural networks
7. Discretization and Statistical Consistency of Functional Flow Matching
8. Echo Flow Networks
9. Primal-dual multigrid methods for nonsmooth optimization
10. A Counterexample to Fourier Alignment in Single-Neuron Modular Addition
11. Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting
12. Stochastic Non-Linear Influence in Synchronisation Dynamics
13. Multi-frequency far-field data enrichment for electromagnetic source reconstruction
14. Jointly Sparse Blind Deconvolution via Riemannian Optimization
15. Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations
16. Singularity of information flow at the Hopf bifurcation point
17. Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations
18. Birth and breakdown of breathing and rotobreathing cyclops states in Kuramoto networks with higher-mode coupling
19. Dynamics in a Low-Rank Separable Field Cellular Automaton
20. Reducing Data Movement in the Galerkin Product of Block Algebraic Multigrid on GPUs

Sub-Regions

• Machine Learning — 167 papers
• Model Reduction and Neural Networks — 150 papers
• Statistical Mechanics — 108 papers
• Optimization and Control — 105 papers
• Chaos control and synchronization — 58 papers
• Numerical Analysis — 34 papers