# Neural Tangent Kernel Analysis and Adaptive Filter for Robust Fourier Feature Embedding
This demo code implements MLPs with Positional Encoding/Random Fourier Features and our proposed method for the image regression task, ensuring reproducibility and authenticity. The full code will be released upon paper acceptance.

## Quickstart
To setup a conda environment use these commands
```
conda env create -f env.yml
conda activate demo

```

## Reference
[BACON](https://github.com/computational-imaging/bacon/tree/main)
