Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks.
Jialin ZhaoYingtao ZhangXinghang LiHuaping LiuCarlo Vittorio CannistraciPublished in: CoRR (2024)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- feedforward neural networks
- back propagation
- backpropagation algorithm
- pattern recognition
- structured prediction
- multi layer perceptron
- neural network training
- neural network model
- artificial neural networks
- high dimensional
- spectral analysis
- avoid overfitting
- neural nets
- error back propagation
- euclidean space
- partial differential equations
- hidden layer
- multi layer
- test set
- hyperspectral
- inference process
- conservation laws
- compressive sensing
- multilayer neural network
- sparse data
- probabilistic inference
- feed forward
- euclidean distance
- fault diagnosis
- training examples
- probabilistic model
- bayesian networks
- training data
- image segmentation
- genetic algorithm