Compression with Bayesian Implicit Neural Representations.
Zongyu GuoGergely FlamichJiajun HeZhibo ChenJosé Miguel Hernández-LobatoPublished in: NeurIPS (2023)
Keyphrases
- network architecture
- distributed representations
- maximum likelihood
- neural network
- image compression
- data compression
- compression algorithm
- bayesian inference
- gaussian processes
- bayesian analysis
- bayesian networks
- data driven
- data sets
- higher level
- posterior probability
- bayesian learning
- neural computation
- artificial neural
- multiple representations
- bayesian decision
- bayesian estimation
- bayesian methods
- compression ratio
- probability distribution
- computational complexity
- data structure
- multiscale
- image processing