Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection.
Sam DaunceyChris C. HolmesChristopher WilliamsFabian FalckPublished in: CoRR (2024)
Keyphrases
- fisher information
- generative model
- probability density function
- exponential family
- mixture model
- bayesian framework
- probabilistic model
- free energy
- hidden variables
- em algorithm
- euclidean space
- posterior probability
- kl divergence
- positive definite
- geodesic distance
- conditional random fields
- semi supervised
- prior knowledge
- density estimation
- object detection
- noise level
- multidimensional scaling
- computer vision
- closed form
- expectation maximization
- variational methods
- maximum likelihood
- metric space
- similarity measure
- gaussian process
- latent variables
- gaussian mixture model
- euclidean distance
- distance function
- probability distribution
- markov random field