Research map / Probabilistic and scientific modeling / Variational and generative sampling
Entropy Estimation via Normalizing Flow
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use UM-tKL rather than the listed alternative estimators | Entropy estimation for Lotka-Volterra OED · Lotka-Volterra OED | RMSE: 0.73 | Helped |
| Use UM-tKSG rather than the listed alternative estimators | Entropy estimation for Lotka-Volterra OED · Lotka-Volterra OED | RMSE: 0.48 | Helped |
| Map samples toward a uniform distribution before applying truncated k-NN estimation | Entropy estimation · High-dimensional multivariate normal and Rosenbrock experiments | RMSE | Helped |
| Use UM-tKSG instead of UM-tKL after the uniformizing transformation | Entropy estimation · Multivariate Rosenbrock distributions | RMSE | Helped |
| Use UM methods rather than CADEE in high dimensions | Entropy estimation · Hybrid Rosenbrock distribution | RMSE | Helped |
Closest papers by meaning
- Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid (AAAI 2020 · similarity 0.87)
- Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation (NeurIPS 2016 · similarity 0.86)
- Kernelised Normalising Flows (ICLR 2024 · similarity 0.83)
- Fast and unified path gradient estimators for normalizing flows (ICLR 2024 · similarity 0.83)
- REMEDI: Corrective Transformations for Improved Neural Entropy Estimation (ICML 2024 · similarity 0.83)
- Mutual Information Estimation via Normalizing Flows (NeurIPS 2024 · similarity 0.83)
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