Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.
Steffen SchotthöferEmanuele ZangrandoJonas KuschGianluca CerutiFrancesco TudiscoPublished in: CoRR (2022)
Keyphrases
- low rank
- differential equations
- neural network
- convex optimization
- missing data
- singular value decomposition
- low rank matrix
- matrix factorization
- linear combination
- matrix completion
- matrix decomposition
- rank minimization
- semi supervised
- dynamical systems
- high order
- high dimensional data
- data matrix
- kernel matrix
- low rank matrices
- factorization methods
- trace norm
- singular values
- robust principal component analysis
- low rank and sparse
- low rank approximation
- data sets
- low dimensional
- least squares
- recommender systems
- multiscale
- pattern recognition
- pairwise
- interior point methods
- high dimensional
- partial differential equations
- image segmentation
- image enhancement
- artificial neural networks
- nearest neighbor