Casual Causality

AMMI 3 Notes: Geometric priors I

15 minute read

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In the previous post, we dived deep into abstract algebra to motivate why Geometric Deep Learning is an interesting topic. Now we begin the journey to show that it is also useful in practice. In summary, we know that symmetries constrain our hypothesis class, making learning simpler—indeed, they can make learning a tractable problem. How does this happen?

LaTeX tricks

8 minute read

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Improve typesetting and save space in your submissions, who does not want that?

Welcome to my journey!

less than 1 minute read

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A PhD student’s casual journey with causal inference.