Pengzhan Jin
Orcid: 0000-0002-2169-1491
According to our database1,
Pengzhan Jin
authored at least 17 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
2023
Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
CoRR, 2023
2022
SIAM J. Sci. Comput., 2022
Neural Networks, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.
Nat. Mach. Intell., 2021
2020
SIAM J. Matrix Anal. Appl., 2020
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems.
Neural Networks, 2020
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness.
Neural Networks, 2020
Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems.
CoRR, 2020
2019
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.
CoRR, 2019