The following pages link to Siddhartha Mishra (Q325327):
Displaying 19 items.
- On the approximation of functions by tanh neural networks (Q6055124) (← links)
- wPINNs: Weak Physics Informed Neural Networks for Approximating Entropy Solutions of Hyperbolic Conservation Laws (Q6197777) (← links)
- On the approximation of rough functions with deep neural networks (Q6331086) (← links)
- Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences (Q6341418) (← links)
- Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs (Q6344005) (← links)
- Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating a class of inverse problems for PDEs (Q6344286) (← links)
- Error estimates for DeepOnets: A deep learning framework in infinite dimensions (Q6360998) (← links)
- On the discrete equation model for compressible multiphase fluid flows (Q6395530) (← links)
- Multilevel domain decomposition-based architectures for physics-informed neural networks (Q6439708) (← links)
- Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning (Q6522176) (← links)
- Phase-field modeling of fracture with physics-informed deep learning (Q6588261) (← links)
- Multilevel domain decomposition-based architectures for physics-informed neural networks (Q6588267) (← links)
- Error analysis for deep neural network approximations of parametric hyperbolic conservation laws (Q6590625) (← links)
- Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning (Q6598418) (← links)
- On the vanishing viscosity limit of statistical solutions of the incompressible Navier-Stokes equations (Q6598453) (← links)
- Finite basis physics-informed neural networks as a Schwarz domain decomposition method (Q6620272) (← links)
- Error estimates for physics-informed neural networks approximating the Navier-Stokes equations (Q6629582) (← links)
- Overlapping Schwarz Preconditioners for Randomized Neural Networks with Domain Decomposition (Q6759892) (← links)
- Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs (Q6764026) (← links)
