Non-Euclidean Contractivity of Recurrent Neural Networks.
Alexander DavydovAnton V. ProskurnikovFrancesco BulloPublished in: ACC (2022)
Keyphrases
- recurrent neural networks
- neural network
- euclidean space
- recurrent networks
- feed forward
- complex valued
- euclidean distance
- artificial neural networks
- echo state networks
- cascade correlation
- feedforward neural networks
- neural model
- nonlinear dynamic systems
- long short term memory
- reservoir computing
- hidden layer
- artificial intelligence
- hebbian learning
- tangent space
- riemannian manifolds
- shape analysis