Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.
Maxime VandegarMichael KaganAntoine WehenkelGilles LouppePublished in: AISTATS (2021)
Keyphrases
- empirical bayes
- network architecture
- neural network
- estimation accuracy
- probability distribution
- bio inspired
- kernel density
- learning rules
- estimation algorithm
- random fields
- probabilistic inference
- generative model
- density estimation
- estimation error
- associative memory
- data distribution
- parameter estimation
- uniformly distributed
- accurate estimation
- bayesian networks
- inference process
- inference mechanism
- image segmentation
- data sets