Diffusion Geometry
A Quarto Reveal.js example deck
2025-02-01
Why diffusion geometry?
- Geometric quantities are meaningful but difficult to estimate directly from data.
- Local methods can become fragile under noise and uneven sampling.
- Diffusion operators offer a robust route to global and local structure.
A motivating picture
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Diffusion geometry illustration
What we estimate
- intrinsic dimension
- tangent spaces
- curvature
- robustly
- from finite samples
- without delicate parameter tuning
Workflow for this site
- Put the deck in
talks/slides/<slug>.qmd
- Add a talk page under
talks/
- Link the talk page from
talks/index.qmd
Thanks
Slides on the web are useful when you want one stable URL for a talk, a linked paper, and any interactive material that belongs with it.
