Compression with Bayesian Implicit Neural Representations.
Zongyu GuoGergely FlamichJiajun HeZhibo ChenJosé Miguel Hernández-LobatoPublished in: CoRR (2023)
Keyphrases
- distributed representations
- image compression
- network architecture
- data compression
- compression scheme
- neural network
- bayesian inference
- bayesian networks
- internal representations
- maximum likelihood
- bayesian learning
- posterior probability
- compression ratio
- associative memory
- bayesian methods
- bayesian decision
- bio inspired
- posterior distribution
- learning rules
- neural network model
- random access
- neural model
- compression rate
- bayesian analysis
- data driven
- control system
- feature extraction