Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Machine Learning — 9 papers
• Chaotic Dynamics — 3 papers
• Quasicrystal Structures and Properties — 2 papers
• Advanced Memory and Neural Computing — 2 papers
• Microtubule and mitosis dynamics — 2 papers
• High Energy Physics - Phenomenology — 2 papers
• Machine Learning — 2 papers
• Materials Science — 1 papers
• Meteorological Phenomena and Simulations — 1 papers
• Functional Brain Connectivity Studies — 1 papers

Highest-Cited Papers

1. E8 Quaternion‑Root Tensor Networks Generate Adaptive Quasiperiodic Frequency Combs for Neuromorphic Computing — E8 Intelligence Research
2. E8 Quaternion‑Root Tensor Networks Generate Adaptive Quasiperiodic Frequency Combs for Neuromorphic Computing — E8 Intelligence Research
3. Phi-Modulated Eigenmode Coupling in E8 Lattice for Error‑Corrected Quantum Memristive Networks — E8 Intelligence Research
4. Phi-Modulated Eigenmode Coupling in E8 Lattice for Error‑Corrected Quantum Memristive Networks — E8 Intelligence Research
5. Learning Fractional-Order Dynamics from a Single Trajectory
6. The parity gap in crystal tensor prediction
7. E8 Adaptive Phase‑Locking via Harmonic Superposition — E8 Intelligence Research
8. E8 Adaptive Phase‑Locking via Harmonic Superposition — E8 Intelligence Research
9. Ultra-fast Unscented Kalman Inversion for the Calibration of Expensive Reduced Chaotic Models
10. Partial synchronization and its applications to brain networks
11. Structured Quantum Kernels for Chaotic Forecasting
12. Phases in a class of associative memories via hidden neurons
13. Tripling Coexisting Attractors
14. Dynamics Creation through Neural Dynamical Transfer Learning
15. Phase oscillator networks with multiple and state-dependent delays: A framework for exploring white matter plasticity in neurodynamics
16. Inclusive electron-nucleus cross section models from domain adaptation
17. Emergence of criticality in models of real neurons
18. Minimum distance classification for nonlinear dynamical systems
19. Functional Attentive Interpretable Regression
20. Physical policy gradient theorem for in situ stochastic-adjoint training