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- Main takeaways
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Classroom Contents
Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport
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- 1 - Intro
- 2 - Background on diffusion + flow models
- 3 - Why do diffusion models beat CNFs?
- 4 - Main idea: how can we train a CNF like a diffusion model?
- 5 - Flow matching
- 6 - Conditional flow matching
- 7 - Properties of flow depend on the choice of the probability path
- 8 - Score and flow matching
- 9 - Main takeaways
- 10 - Q+A
