Learning and meta-learning of stochastic advection–diffusion–reaction systems from sparse measurements.
- Published in:
- European Journal of Applied Mathematics, 2021, v. 32, n. 3, p. 397, doi. 10.1017/S0956792520000169
- By:
- Publication type:
- Article
Works matching IS 09567925 AND DT 2021 AND VI 32 AND IP 3
Results: 8
1
2
Connections between deep learning and partial differential equations.
- Published in:
- 2021
- By:
- Publication type:
- Editorial
3
Solving high-dimensional optimal stopping problems using deep learning.
- Published in:
- European Journal of Applied Mathematics, 2021, v. 32, n. 3, p. 470, doi. 10.1017/S0956792521000073
- By:
- Publication type:
- Article
4
Graph interpolating activation improves both natural and robust accuracies in data-efficient deep learning.
- Published in:
- European Journal of Applied Mathematics, 2021, v. 32, n. 3, p. 540, doi. 10.1017/S0956792520000406
- By:
- Publication type:
- Article
5
Deep learning models for global coordinate transformations that linearise PDEs.
- Published in:
- European Journal of Applied Mathematics, 2021, v. 32, n. 3, p. 515, doi. 10.1017/S0956792520000327
- By:
- Publication type:
- Article
6
Continuous-domain assignment flows.
- Published in:
- European Journal of Applied Mathematics, 2021, v. 32, n. 3, p. 570, doi. 10.1017/S0956792520000273
- By:
- Publication type:
- Article
7
A multi-level procedure for enhancing accuracy of machine learning algorithms.
- Published in:
- European Journal of Applied Mathematics, 2021, v. 32, n. 3, p. 436, doi. 10.1017/S0956792520000224
- By:
- Publication type:
- Article
8
Solving parametric PDE problems with artificial neural networks.
- Published in:
- European Journal of Applied Mathematics, 2021, v. 32, n. 3, p. 421, doi. 10.1017/S0956792520000182
- By:
- Publication type:
- Article