---
title: Research Approach
allDay: true
date: 2024-10-10
completed: 
type: single
endDate: 2024-10-22
---

5 Pages
**TARGET: 2800-3000 words**
# Outline
1. What are unperturbed perturbations and why are they important?
2. What is a generative diffusion model?
3. Where have generative diffusion models been used?
4. How will generative diffusion models generate new plants?
5.  How can we know if these new plants are in the set of 'controllable' plants?
6. How are we going to get training data?

Something to justify, why diffusion model as opposed to other generative AI

# First Draft
## Story
1. Generating unstructured perturbations is pretty hard
2. They need to be 'random'
3. diffusion model is good at creating novel examples (cite!)
4.