Unsupervised learning with sparse space-and-time autoencoders

Benjamin Graham

We use spatially-sparse two, three and four dimensional convolutional autoencoder networks to model sparse structures in 2D space, 3D space, and 3+1=4 dimensional space-time. We ev…