Pages that link to "Item:Q2223280"
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The following pages link to Coercing machine learning to output physically accurate results (Q2223280):
Displaying 8 items.
- Convex optimization with an interpolation-based projection and its application to deep learning (Q2071365) (← links)
- Symplectic neural networks in Taylor series form for Hamiltonian systems (Q2124341) (← links)
- Solving inverse-PDE problems with physics-aware neural networks (Q2129334) (← links)
- On obtaining sparse semantic solutions for inverse problems, control, and neural network training (Q2132578) (← links)
- Enforcing exact physics in scientific machine learning: a data-driven exterior calculus on graphs (Q2133772) (← links)
- Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part I: 1D Problems (Q6049611) (← links)
- Addressing discontinuous root-finding for subsequent differentiability in machine learning, inverse problems, and control (Q6119249) (← links)
- SDYN-GANs: adversarial learning methods for multistep generative models for general order stochastic dynamics (Q6639347) (← links)
