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Symplectic Momentum Neural Networks - Using Discrete Variational Mechanics as a prior in Deep Learning.
Saul Santos
Monica Ekal
Rodrigo M. M. Ventura
Published in:
L4DC (2022)
Keyphrases
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deep learning
neural network
global exponential stability
unsupervised learning
pattern recognition
machine learning
unsupervised feature learning
deep architectures
mental models
image segmentation
prior knowledge
back propagation
weakly supervised
neural nets
multiscale
higher order
learning rate
viewpoint