In computer vision, convolutional networks (CNNs ... The core idea is to embed wavelet transform into CNN architecture to reduce the resolution of feature maps while at the same time, increasing ...

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent ...