Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings.
Deep ChatterjeePhilip C. HarrisMaanas GoelMalina DesaiMichael W. CoughlinErik KatsavounidisPublished in: CoRR (2023)
Keyphrases
- inference process
- network architecture
- low dimensional
- maximum likelihood
- bayesian inference
- neural network
- symmetry detection
- bayesian model
- vector space
- associative memory
- belief networks
- posterior probability
- bio inspired
- neural model
- inference mechanism
- graphical structure
- neural computation
- probabilistic inference
- prior probabilities
- bayesian networks
- biologically plausible
- data sets