Research map / Probabilistic and scientific modeling / Variational and generative sampling
Estimators for Multivariate Information Measures in General Probability Spaces
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use GDM instead of KSG for estimating conditional mutual information | CMI estimation on the clipped X-Z-Y Markov chain · Synthetic X-Z-Y Markov chain | conditional mutual information estimation error | Helped |
| Use GDM instead of a noise-induced ΣH estimator for estimating conditional mutual information | CMI estimation on the clipped X-Z-Y Markov chain · Synthetic X-Z-Y Markov chain | conditional mutual information estimation error | Helped |
| Use GDM instead of binning for estimating conditional mutual information | CMI estimation on the clipped X-Z-Y Markov chain · Synthetic X-Z-Y Markov chain | conditional mutual information estimation error | Helped |
| Use GDM instead of KSG for estimating conditional mutual information | CMI estimation on the AWGN+BSC mixture · AWGN+BSC channel with low-dimensional Z manifold | conditional mutual information estimation error | Helped |
| Use GDM instead of a ΣH estimator for estimating conditional mutual information | CMI estimation on the AWGN+BSC mixture · AWGN+BSC channel with low-dimensional Z manifold | conditional mutual information estimation error | Helped |
| Use GDM instead of binning for estimating conditional mutual information | CMI estimation on the AWGN+BSC mixture · AWGN+BSC channel with low-dimensional Z manifold | conditional mutual information estimation error | Helped |
| Use GDM instead of competing estimators for total correlation | Total correlation estimation · Three independent discrete-continuous mixtures | total correlation estimation error | Helped |
| Use GDM instead of competing estimators for total correlation | Total correlation estimation · Correlated zero-inflated variables | total correlation estimation error | Helped |
| Use GDM instead of other CMI estimators in cRDI | cRDI gene regulatory network inference · Simulated neuron-cell development | AUROC: at least \%10 | Helped |
| Use GDM instead of other CMI estimators in CMIM-2 | CMIM-2 feature selection · Synthetic clipped Gaussian features | AUROC | Helped |
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