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Absolutely yes.

Doing tensor magic without einstein notation will make you shoot yourself, and even you don't someone else will if publish it.

The only real problem I have with it personally is the abstraction of upper and lower indices, which I constantly forget the conventions as to which is which.




This is interesting... I love the notation, but mainly because how upper and lower indices make it easy to distinguish vectors and forms (not that it matters in ML where everything is "euclidean").


Upper and lower indices are great, but are still unrelated to the convention of dropping the big sigma at the front.


> not that it matters in ML where everything is "euclidean"

Non-euclidean spaces are actually quite common in ML, but many people don’t realize the spaces they’re working in are non-euclidean!


Would be curious to hear what you have in mind here -- could you expand?


Co -> low, primes below.




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