Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability.
Maciej FalkiewiczNaoya TakeishiImahn ShekhzadehAntoine WehenkelArnaud DelaunoyGilles LouppeAlexandros KalousisPublished in: NeurIPS (2023)
Keyphrases
- neural network
- network architecture
- probability distribution
- objective function
- biologically plausible
- loss function
- neural model
- bayesian inference
- camera calibration
- random fields
- nonlinear predictive control
- grammatical inference
- inference process
- efficient learning
- bio inspired
- focal length
- associative memory
- belief networks
- conditional probabilities
- markov random field
- bayesian networks