Analyzing and interpreting convolutional neural networks using latent space topology.
Clara I. López-GonzálezMaría José Gómez-SilvaEva Besada-PortasGonzalo PajaresPublished in: Neurocomputing (2024)
Keyphrases
- convolutional neural networks
- latent space
- latent variables
- gaussian process
- low dimensional
- dimensionality reduction
- parameter space
- manifold learning
- lower dimensional
- gaussian process latent variable models
- generative model
- distance metric
- matrix factorization
- probabilistic latent semantic analysis
- feature space
- probabilistic model
- gaussian processes
- high dimensional
- high dimensional data
- regression model
- multiscale
- principal component analysis
- search space
- gaussian mixture