Farinaz Mostajeran

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kolmogorov-Arnold networks for data-driven, physics-informed, and deep-operator learning: a review, synthesis, and new analysis. Neural Networks Salah A. Faroughi, Farinaz Mostajeran, Amin Hamed Mashhadzadeh, Shirko Faroughi
2026	J	`jnl`	Symbolic-KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning. CoRR Salah A. Faroughi, Farinaz Mostajeran, Amirhossein Arzani, Shirko Faroughi
2025	J	`jnl`	MINPO: Memory-Informed Neural Pseudo-Operator to Resolve Nonlocal Spatiotemporal Dynamics. CoRR Farinaz Mostajeran, Aruzhan Tleubek, Salah A. Faroughi
2025	J	`jnl`	Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs. CoRR Salah A. Faroughi, Farinaz Mostajeran
2025	J	`jnl`	Scaled-cPIKANs: Domain Scaling in Chebyshev-based Physics-informed Kolmogorov-Arnold Networks. CoRR Farinaz Mostajeran, Salah A. Faroughi
2025	J	`jnl`	Scaled-cPIKANs: Spatial variable and residual scaling in chebyshev-based physics-informed kolmogorov-Arnold networks. J. Comput. Phys. Farinaz Mostajeran, Salah A. Faroughi
2025	J	`jnl`	Scientific Machine Learning with Kolmogorov-Arnold Networks. CoRR Salah A. Faroughi, Farinaz Mostajeran, Amin Hamed Mashhadzadeh, Shirko Faroughi
2024	J	`jnl`	EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials. CoRR Farinaz Mostajeran, Salah A. Faroughi
2023	J	`jnl`	Radial basis function neural network (RBFNN) approximation of Cauchy inverse problems of the Laplace equation. Comput. Math. Appl. Farinaz Mostajeran, Seyed Mohammad Hosseini
2022	J	`jnl`	DeepBHCP: Deep neural network algorithm for solving backward heat conduction problems. Comput. Phys. Commun. Farinaz Mostajeran, Reza Mokhtari
2021	J	`jnl`	A high-order scheme for time-space fractional diffusion equations with Caputo-Riesz derivatives. Comput. Math. Appl. Golsa Sayyar, Seyed Mohammad Hosseini, Farinaz Mostajeran