Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability.
Maciej FalkiewiczNaoya TakeishiImahn ShekhzadehAntoine WehenkelArnaud DelaunoyGilles LouppeAlexandros KalousisPublished in: CoRR (2023)
Keyphrases
- network architecture
- probability distribution
- neural network
- objective function
- bayesian networks
- artificial neural
- loss function
- conditional probabilities
- inference process
- neural model
- loopy belief propagation
- bio inspired
- bayesian inference
- random fields
- probabilistic inference
- associative memory
- camera calibration
- neural fuzzy
- hebbian learning
- inference mechanism
- nonlinear predictive control
- bayesian model
- probabilistic reasoning
- belief networks
- expert systems
- computer vision
- genetic algorithm