Non-parametric Entropy Estimation Toolbox (NPEET)

By Greg Ver Steeg. 2014

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yibo Yang
2. F. Sahli Costabal
3. Paris Perdikaris
4. Ellen Kuhl
5. Daniel E. Hurtado
6. Jason M. O'Kane
7. Ioannis M. Rekleitis
8. Alberto Quattrini Li

Citations in the corpus

• Physics-Informed Neural Networks for Cardiac Activation Mapping (2020, methodology): “In our computational experiments, we observe that the predictive posterior distribution p ( T | D ) is generally not Gaussian and we opt to use a non-parametric estimator for the entropy [23, 24].”
• Active localization with dynamic obstacles (2016, methodology): “Also, the entropy of the particles is reported computed with a nonparametric entropy estimator [29].”