Pages that link to "Item:Q2681099"
From MaRDI portal
The following pages link to DAS-PINNs: a deep adaptive sampling method for solving high-dimensional partial differential equations (Q2681099):
Displaying 23 items.
- Adaptive deep density approximation for fractional Fokker-Planck equations (Q6087826) (← links)
- Solving Elliptic Problems with Singular Sources Using Singularity Splitting Deep Ritz Method (Q6095431) (← links)
- Gradient and uncertainty enhanced sequential sampling for global fit (Q6096471) (← links)
- Improved training of physics-informed neural networks for parabolic differential equations with sharply perturbed initial conditions (Q6171154) (← links)
- A novel growing wavelet neural network algorithm for solving chemotaxis systems with blow‐up (Q6183137) (← links)
- Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations (Q6187659) (← links)
- AONN: An Adjoint-Oriented Neural Network Method for All-At-Once Solutions of Parametric Optimal Control Problems (Q6194971) (← links)
- DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations (Q6386854) (← links)
- Adaptive loss weighting auxiliary output fPINNs for solving fractional partial integro-differential equations (Q6496475) (← links)
- Correcting model misspecification in physics-informed neural networks (PINNs) (Q6497270) (← links)
- Adaptive deep neural networks for solving corner singular problems (Q6545698) (← links)
- AONN-2: an adjoint-oriented neural network method for PDE-constrained shape optimization (Q6572176) (← links)
- A few-shot identification method for stochastic dynamical systems based on residual multipeaks adaptive sampling (Q6592602) (← links)
- f-PICNN: a physics-informed convolutional neural network for partial differential equations with space-time domain (Q6614990) (← links)
- Deep finite volume method for partial differential equations (Q6615033) (← links)
- Deep adaptive sampling for surrogate modeling without labeled data (Q6639518) (← links)
- Solutions to elliptic and parabolic problems via finite difference based unsupervised small linear convolutional neural networks (Q6647580) (← links)
- Efficiently training physics-informed neural networks via anomaly-aware optimization (Q6662394) (← links)
- Finite element-integrated neural network framework for elastic and elastoplastic solids (Q6663275) (← links)
- Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators (Q6663284) (← links)
- Navigating PINNs via maximum residual-based continuous distribution (Q6669778) (← links)
- Annealed adaptive importance sampling method in PINNs for solving high dimensional partial differential equations (Q6670734) (← links)
- Adaptive deep density approximation for stochastic dynamical systems (Q6671865) (← links)
