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10
4 Qualifying Exam/1 Managing Stuff/0. QE To Do List.md
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- [x] Read email from Dr. Cho with shared documents 📅 2024-09-25 ⏳ 2024-09-25 [completion:: 2024-10-16]
- [x] Find papers on verifying robustness⏳ 2024-10-15 📅 2024-10-16 [completion:: 2024-10-15]
- [ ] Start writing about diffusion model📅 2024-10-15
- [ ] Write about how to generate unstructured perturbations📅 2024-10-15
- [ ] What is the generative diffusion model? How does it work?
- [ ] How can we use this to generate new plants?
- [ ] How are we going to tell if they're in the unstrucutred perturbation disk?
- [ ] Create a one dimensional diffusion generative model 📅 2024-10-22 ⏳ 2024-10-17
- [/] Write about how to generate unstructured perturbations📅 2024-10-15
- [/] What is disk uncertainty? [completion:: 2024-10-16]
- [ ] Why is this something difficult to sample?
- [x] Write about how to generate structured perturbations 📅 2024-10-17 ✅ 2024-10-16
# Milestones
- [x] Goals and Outcomes Finished 🆔 kwyu6a ⏳ 2024-10-02 📅 2024-10-04 ✅ 2024-10-02
- [*] State of the Art Finished 🆔 i9ybdy ⏳ 2024-10-09 📅 2024-10-11

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4 Qualifying Exam/2 Writing/3. QE Research Approach.md
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title: Research Approach
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date: 2024-10-10
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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
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