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math.OC2026
PH-KAN: Port-Hamiltonian Kolmogorov-Arnold Network
Achraf El Messaoudi, Karim Cherifi, Yann Le Gorrec +1
Data-driven machine learning approaches have become increasingly attractive for nonlinear system identification, but standard models often fail to preserve the underlying physical…
eess.SY2026
Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System Identification
Achraf El Messaoudi, Noureddine Khaous, Karim Cherifi
Machine learning is becoming increasingly important for nonlinear system identification, including dynamical systems with spatially distributed outputs. However, classical identifi…