Symplectic convolutional neural networks
Fuente:
arXiv
Saved in:
| Main Authors: | Yıldız, Süleyman, Janik, Konrad, Benner, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data-Driven Identification of Quadratic Representations for Nonlinear Hamiltonian Systems using Weakly Symplectic Liftings
by: Yildiz, Süleyman, et al.
Published: (2023)
by: Yildiz, Süleyman, et al.
Published: (2023)
Time-adaptive HénonNets for separable Hamiltonian systems
by: Janik, Konrad, et al.
Published: (2025)
by: Janik, Konrad, et al.
Published: (2025)
Time-adaptive SympNets for separable Hamiltonian systems
by: Janik, Konrad, et al.
Published: (2025)
by: Janik, Konrad, et al.
Published: (2025)
Structure-preserving learning for multi-symplectic PDEs
by: Yıldız, Süleyman, et al.
Published: (2024)
by: Yıldız, Süleyman, et al.
Published: (2024)
Theory of periodic convolutional neural network
by: Liu, Yuqing
Published: (2025)
by: Liu, Yuqing
Published: (2025)
Infinite-channel deep stable convolutional neural networks
by: Bracale, Daniele, et al.
Published: (2021)
by: Bracale, Daniele, et al.
Published: (2021)
Metalearning traffic assignment for network disruptions with graph convolutional neural networks
by: Agriesti, Serio, et al.
Published: (2026)
by: Agriesti, Serio, et al.
Published: (2026)
On the rates of convergence for learning with convolutional neural networks
by: Yang, Yunfei, et al.
Published: (2024)
by: Yang, Yunfei, et al.
Published: (2024)
Large deviation principles for convolutional Bayesian neural networks
by: Bassetti, Federico, et al.
Published: (2026)
by: Bassetti, Federico, et al.
Published: (2026)
Imaging at the quantum limit with convolutional neural networks
by: Proppe, Andrew H., et al.
Published: (2025)
by: Proppe, Andrew H., et al.
Published: (2025)
Convergence of gradient flow for learning convolutional neural networks
by: Diederen, Jona-Maria, et al.
Published: (2026)
by: Diederen, Jona-Maria, et al.
Published: (2026)
On the VC dimension of deep group convolutional neural networks
by: Sepliarskaia, Anna, et al.
Published: (2024)
by: Sepliarskaia, Anna, et al.
Published: (2024)
Resource-efficient equivariant quantum convolutional neural networks
by: Chinzei, Koki, et al.
Published: (2024)
by: Chinzei, Koki, et al.
Published: (2024)
Learning local discrete features in explainable-by-design convolutional neural networks
by: Kaplanoglou, Pantelis I., et al.
Published: (2024)
by: Kaplanoglou, Pantelis I., et al.
Published: (2024)
Discovering influential text using convolutional neural networks
by: Ayers, Megan, et al.
Published: (2024)
by: Ayers, Megan, et al.
Published: (2024)
sHGCN: Simplified hyperbolic graph convolutional neural networks
by: Arévalo, Pol, et al.
Published: (2025)
by: Arévalo, Pol, et al.
Published: (2025)
One-step learning algorithm selection for classification via convolutional neural networks
by: Maldonado, Sebastian, et al.
Published: (2023)
by: Maldonado, Sebastian, et al.
Published: (2023)
Photonic convolutional neural network with pre-trained in-situ training
by: Ranjan, Saurabh, et al.
Published: (2026)
by: Ranjan, Saurabh, et al.
Published: (2026)
Beyond topography: Topographic regularization improves robustness and reshapes representations in convolutional neural networks
by: Truong, Nhut, et al.
Published: (2025)
by: Truong, Nhut, et al.
Published: (2025)
Accident Impact Prediction based on a deep convolutional and recurrent neural network model
by: Sajadi, Pouyan, et al.
Published: (2024)
by: Sajadi, Pouyan, et al.
Published: (2024)
Estimating the stability number of a random graph using convolutional neural networks
by: Davila, Randy
Published: (2024)
by: Davila, Randy
Published: (2024)
Image space formalism of convolutional neural networks for k-space interpolation
by: Dawood, Peter, et al.
Published: (2024)
by: Dawood, Peter, et al.
Published: (2024)
Multi-task convolutional neural network for image aesthetic assessment
by: Soydaner, Derya, et al.
Published: (2023)
by: Soydaner, Derya, et al.
Published: (2023)
Guiding the retraining of convolutional neural networks against adversarial inputs
by: López, Francisco Durán, et al.
Published: (2022)
by: López, Francisco Durán, et al.
Published: (2022)
On the dynamics of convolutional recurrent neural networks near their critical point
by: Chandra, Aditi, et al.
Published: (2024)
by: Chandra, Aditi, et al.
Published: (2024)
Permutation-equivariant quantum convolutional neural networks
by: Das, Sreetama, et al.
Published: (2024)
by: Das, Sreetama, et al.
Published: (2024)
A self-regulated convolutional neural network for classifying variable stars
by: Pérez-Galarce, Francisco, et al.
Published: (2025)
by: Pérez-Galarce, Francisco, et al.
Published: (2025)
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks
by: Vashishtha, Govind, et al.
Published: (2025)
by: Vashishtha, Govind, et al.
Published: (2025)
Predicting travel demand of a bike sharing system using graph convolutional neural networks
by: Behroozi, Ali, et al.
Published: (2024)
by: Behroozi, Ali, et al.
Published: (2024)
Central limit theorems for the outputs of fully convolutional neural networks with time series input
by: Betken, Annika, et al.
Published: (2026)
by: Betken, Annika, et al.
Published: (2026)
Attention is all you need for boosting graph convolutional neural network
by: Wu, Yinwei
Published: (2024)
by: Wu, Yinwei
Published: (2024)
DeepCFD: Efficient near-ground airfoil lift coefficient approximation with deep convolutional neural networks
by: Esabat, Mohammad Amin, et al.
Published: (2025)
by: Esabat, Mohammad Amin, et al.
Published: (2025)
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent
by: Kohler, Michael, et al.
Published: (2024)
by: Kohler, Michael, et al.
Published: (2024)
Kinematic analysis of structural mechanics based on convolutional neural network
by: Zhang, Leye, et al.
Published: (2024)
by: Zhang, Leye, et al.
Published: (2024)
Fixed point actions from convolutional neural networks
by: Holland, Kieran, et al.
Published: (2023)
by: Holland, Kieran, et al.
Published: (2023)
Fast inverse lithography based on a model-driven block stacking convolutional neural network
by: Chen, Ruixiang, et al.
Published: (2024)
by: Chen, Ruixiang, et al.
Published: (2024)
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response
by: Patel, Ravi, et al.
Published: (2024)
by: Patel, Ravi, et al.
Published: (2024)
Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations
by: Kelshaw, Daniel, et al.
Published: (2024)
by: Kelshaw, Daniel, et al.
Published: (2024)
Generalized Quadratic Embeddings for Nonlinear Dynamics using Deep Learning
by: Goyal, Pawan, et al.
Published: (2022)
by: Goyal, Pawan, et al.
Published: (2022)
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning
by: Goyal, Pawan, et al.
Published: (2021)
by: Goyal, Pawan, et al.
Published: (2021)
Similar Items
-
Data-Driven Identification of Quadratic Representations for Nonlinear Hamiltonian Systems using Weakly Symplectic Liftings
by: Yildiz, Süleyman, et al.
Published: (2023) -
Time-adaptive HénonNets for separable Hamiltonian systems
by: Janik, Konrad, et al.
Published: (2025) -
Time-adaptive SympNets for separable Hamiltonian systems
by: Janik, Konrad, et al.
Published: (2025) -
Structure-preserving learning for multi-symplectic PDEs
by: Yıldız, Süleyman, et al.
Published: (2024) -
Theory of periodic convolutional neural network
by: Liu, Yuqing
Published: (2025)