Obsidian/4 Qualifying Exam/2 Writing/3. QE Research Approach.md

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

Topic Point

Intro

Paragraph 1 - Introduction Topic: Generating unstructured perturbations is a difficult problem right now, but is necessary to blah blah blah Point: This research will use a diffusion generative model to create unstructured perturbations. Discussion: Talk about the big pictures of what the next sections are

The Generative Diffusion Model

Using Diffusion to Create New Plants

Establishing New Plants are in the Disk

Preliminary Results