Bibliography (20):

1. LSSL: Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

2. HiPPO: Recurrent Memory with Optimal Polynomial Projections

3. https://github.com/state-spaces/s4

4. https://github.com/state-spaces/s4/blob/main/example.py

5. https://www.youtube.com/watch?v=EvQ3ncuriCM

6. https://srush.github.io/annotated-s4/

7. Attention Is All You Need

8. Deep Residual Learning for Image Recognition

9. Long Range Arena (LRA): A Benchmark for Efficient Transformers

10. https://x.com/sleepinyourhat/status/1468037899388084225

11. https://x.com/overlordayn/status/1468160489762918400

12. Wikipedia Bibliography:

    1. https://en.wikipedia.org/wiki/State-space_representation  :

       https://en.wikipedia.org/wiki/State-space_representation

    2. Data augmentation

    3. Recurrent neural network

    4. https://en.wikipedia.org/wiki/Vanishing_gradient_problem  :

       https://en.wikipedia.org/wiki/Vanishing_gradient_problem

    5. https://en.wikipedia.org/wiki/Fast_Fourier_transform  :

       https://en.wikipedia.org/wiki/Fast_Fourier_transform

    6. https://en.wikipedia.org/wiki/Diagonal_matrix  :

       https://en.wikipedia.org/wiki/Diagonal_matrix

    7. Differential equation

    8. Object detection

    9. Image segmentation