From c883c8aac5e82479a5f7c1ced2665469c6fd452a Mon Sep 17 00:00:00 2001 From: Dane Sabo Date: Mon, 30 Sep 2024 20:54:41 -0400 Subject: [PATCH] vault backup: 2024-09-30 20:54:41 --- 4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md | 4 ---- 1 file changed, 4 deletions(-) diff --git a/4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md b/4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md index 8a0dc404a..d3ff64a16 100644 --- a/4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md +++ b/4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md @@ -65,9 +65,6 @@ If this research is successful, this diffusion model will accomplish three main If this research is successful, this diffusion model will accomplish three main tasks: **Outcome 1: Approximate a set of controllable plants by generating a large number of perturbed examples** -<<<<<<< HEAD -**Outcomes** -======= **Outcome 2: Perturb a nominal plant in an unstructured manner with a controllable amount of uncertainty** **Outcome 3: Generate time and frequency domain responses based on training data of example systems. ** @@ -81,4 +78,3 @@ Topic: Generating perturbations requires a lot of effort. Point: We look to generative models to accelerate perturbed plant generation. **Fifth Paragraph: Broader Impact** ->>>>>>> origin/master