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Yifa Tang

Showing results (1-10 of 6) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|January 7, 2022
Approximation capabilities of measure-preserving neural networksAiqing Zhu, Pengzhan Jin, Yifa Tang
Neural Networks : the Official Journal of the International Neural Network Society|July 11, 2020
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothnessPengzhan Jin, Lu Lu, Yifa Tang, et al.
Physical Review. E|February 20, 2025
Fractional Langevin equation far from equilibrium: Riemann-Liouville fractional Brownian motion, spurious nonergodicity, and agingQing Wei, Wei Wang, Yifa Tang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 5, 2020
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systemsPengzhan Jin, Zhen Zhang, Aiqing Zhu, et al.
Physical Review. E|August 31, 2016
Explicit symplectic algorithms based on generating functions for charged particle dynamicsRuili Zhang, Hong Qin, Yifa Tang, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Finite Difference Method for Time-Space Fractional Advection-Diffusion Equations with Riesz DerivativeSadia Arshad, Dumitru Baleanu, Jianfei Huang, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|January 7, 2022
Approximation capabilities of measure-preserving neural networksAiqing Zhu, Pengzhan Jin, Yifa Tang
Neural Networks : the Official Journal of the International Neural Network Society|July 11, 2020
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothnessPengzhan Jin, Lu Lu, Yifa Tang, et al.
Physical Review. E|February 20, 2025
Fractional Langevin equation far from equilibrium: Riemann-Liouville fractional Brownian motion, spurious nonergodicity, and agingQing Wei, Wei Wang, Yifa Tang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 5, 2020
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systemsPengzhan Jin, Zhen Zhang, Aiqing Zhu, et al.
Physical Review. E|August 31, 2016
Explicit symplectic algorithms based on generating functions for charged particle dynamicsRuili Zhang, Hong Qin, Yifa Tang, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Finite Difference Method for Time-Space Fractional Advection-Diffusion Equations with Riesz DerivativeSadia Arshad, Dumitru Baleanu, Jianfei Huang, et al.
Pageof 1