Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Machine Learning — 45 papers
• Model Reduction and Neural Networks — 21 papers
• Numerical Analysis — 18 papers
• Adaptation and Self-Organizing Systems — 8 papers
• Nonlinear Dynamics and Pattern Formation — 7 papers
• Chaos control and synchronization — 6 papers
• Machine Learning — 6 papers
• Dynamical Systems — 5 papers
• Chaotic Dynamics — 3 papers
• Optimization and Control — 3 papers

Highest-Cited Papers

1. Weak Form Scientific Machine Learning: Test Function Construction for System Identification (1 citations)
2. Stochastic Non-Linear Influence in Synchronisation Dynamics
3. Singularity of information flow at the Hopf bifurcation point
4. Birth and breakdown of breathing and rotobreathing cyclops states in Kuramoto networks with higher-mode coupling
5. Surgical Hill-Kinetics Saturation: Eliminating Finite-Time Blowup and Adaptive Solver Grid Collapse in Neural ODEs
6. Surgical Hill-Kinetics Saturation: Eliminating Finite-Time Blowup and Adaptive Solver Grid Collapse in Neural ODEs
7. Cluster dynamics in a two-group Stuart-Landau model analyzed by the second-order phase reduction
8. Predicting the occurrence of Braess paradox in the synchronization threshold of coupled oscillator systems
9. From Non-Convex Self-Concordant Regularization to Scalable Quasi-Newton Training of PINNs
10. Symplectic Neural Networks for Learning Non-Separable Hamiltonians
11. Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
12. The Hamilton-Jacobi Theory of Deep Learning
13. Trajectory inference via Acceleration Matching
14. GENERIC-FNO: Embedding Energy Conservation and Entropy Production into Fourier Neural Operators
15. Surgical Hill-Kinetics Field Saturation: Resolving Finite-Time Explosion and NFE Stiffness in Neural Ordinary Differential Equations
16. Data-driven Reverse Engineering of Physical Laws: Extracting Unknown Interactions via Hierarchical Basis Expansion
17. Synchronization in Networks of Heterogeneous Kuramoto-Sakaguchi Oscillators with Higher-order Interactions
18. LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems
19. PRISMA: Improving the Accuracy-Latency Frontier of Diffusion-based PDE Solvers Using Physics-Informed Spectral Attention
20. Functional normalizing flow for statistical inverse problems of partial differential equations