Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models.
Adrian ValenteSrdjan OstojicJonathan W. PillowPublished in: Neural Comput. (2022)
Keyphrases
- low rank
- neural network model
- linear dynamical systems
- latent variable models
- dynamical systems
- neural network
- latent variables
- missing data
- convex optimization
- matrix factorization
- real valued
- linear combination
- singular value decomposition
- artificial neural networks
- hidden markov models
- semi supervised
- high dimensional data
- spatio temporal
- video sequences
- high order
- dynamic textures
- human motion
- latent space
- prior knowledge
- missing values
- latent dirichlet allocation
- dimensionality reduction
- negative matrix factorization
- nearest neighbor
- recommender systems
- reinforcement learning
- data sets