Scalable Neural Tangent Kernel of Recurrent Architectures.
Sina AlemohammadRandall BalestrieroZichao WangRichard G. BaraniukPublished in: CoRR (2020)
Keyphrases
- neural architectures
- network architecture
- neural network
- recurrent networks
- spiking neural networks
- kernel function
- recurrent neural networks
- bio inspired
- neural model
- mutual subspace method
- feed forward
- associative memory
- component analysis
- nonlinear predictive control
- artificial neural
- kernel methods
- highly scalable
- multiple kernel learning
- memory efficient
- kernel regression
- biologically inspired
- genetic algorithm
- reproducing kernel hilbert space
- web scale
- biologically plausible
- lightweight
- support vector
- multiscale