Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Albert Gu, Isys Johnson, Karan Goel +4

Recurrent neural networks (RNNs), temporal convolutions, and neural differential equations (NDEs) are popular families of deep learning models for time-series data, each with uniqu…