The following pages link to GPyTorch (Q47191):
Displaying 19 items.
- (Q51185) (redirect page) (← links)
- IntelligentPooling: practical Thompson sampling for mHealth (Q2071414) (← links)
- Mosaic flows: a transferable deep learning framework for solving PDEs on unseen domains (Q2072515) (← links)
- SAMBA: safe model-based \& active reinforcement learning (Q2127227) (← links)
- Stochastic multi-fidelity surrogate modeling of dendritic crystal growth (Q2138818) (← links)
- Scientific machine learning through physics-informed neural networks: where we are and what's next (Q2162315) (← links)
- A multi-objective Bayesian optimization environment for systematic design of numerical schemes for compressible flow (Q2168297) (← links)
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data (Q2222275) (← links)
- On randomized trace estimates for indefinite matrices with an application to determinants (Q2671299) (← links)
- A metalearning approach for physics-informed neural networks (PINNs): application to parameterized PDEs (Q2681136) (← links)
- (Q4969236) (← links)
- (Q4998977) (← links)
- (Q4999044) (← links)
- Fast and Accurate Gaussian Kernel Ridge Regression Using Matrix Decompositions for Preconditioning (Q5006445) (← links)
- Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure (Q5028556) (← links)
- (Q5149237) (← links)
- (Q5159435) (← links)
- (Q5214184) (← links)
- On the Compressibility of Tensors (Q5857845) (← links)
