- model algebra and plot
- message passing
- signal denoising
- sparse gradient
- L2 regularized gradient
- sparse FFT
- image deconvolution
- image denoising
- sparse gradient
- total variation
- MNIST denoising and inpainting using a VAE prior
Some classic generalized linear models
- perceptron
- compressed sensing
- sgn and phase retrieval
- relu output
- symmetric door output