About A collection of AWESOME things about information geometry Topics
A Fisher information matrix python package for GW detector networks.
Methods for computational information geometry
Experimental design in neutron reflectometry using the Fisher information.
Active learning for neural networks
Minimal effort to get maximal information from your experiments
My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
A sensitivity toolbox that is tailored to the design process in the presence of uncertainties
An R package for I-prior regression
Matlab package for LNA simulations of biological models
A framework for determining the maximum information gain and optimising experimental design in neutron reflectometry using the Fisher information.
Additive interaction modelling using I-priors
Lecture notes of Professor Stéphane Mallat - Collège de France - Paris
An R port of https://github.com/csunlab/fisher-information. For Quinn Asena
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