Pages that link to "Item:Q2124341"
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The following pages link to Symplectic neural networks in Taylor series form for Hamiltonian systems (Q2124341):
Displaying 10 items.
- VPNets: volume-preserving neural networks for learning source-free dynamics (Q2161067) (← links)
- Scientific machine learning through physics-informed neural networks: where we are and what's next (Q2162315) (← links)
- Locally-symplectic neural networks for learning volume-preserving dynamics (Q2681119) (← links)
- NySALT: Nyström-type inference-based schemes adaptive to large time-stepping (Q2683252) (← links)
- Tuning Symplectic Integrators is Easy and Worthwhile (Q5065201) (← links)
- A Symplectic Based Neural Network Algorithm for Quantum Controls under Uncertainty (Q5077710) (← links)
- Efficient Bayesian inference with latent Hamiltonian neural networks in no-U-turn sampling (Q6054204) (← links)
- Symplectic learning for Hamiltonian neural networks (Q6087912) (← links)
- Symplectic Neural Networks in Taylor Series Form for Hamiltonian Systems (Q6340436) (← links)
- Roenet: predicting discontinuity of hyperbolic systems from continuous data (Q6499882) (← links)
