Fig. 1From: Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencodersSchematic representation of 1D convolutional autoencoder architecture. The same structure of the 1D-CAE is adopted in the encoding and decoding processes for both the space and time dimensionsBack to article page