[110011]

Just saw your talk. Man you are one hell of a speaker. Great slides, animations and presentation. I enjoyed it.

It seems like a strange thing that no one thought of doing this before! Nice that you identified a cool problem and solved it :)

[scottlegrand2]

Not entirely true. Sparse x Dense Matrix is an important component of the DSSTNE deep learning framework:

https://github.com/amzn/amazon-dsstne

But this library is clearly more thorough.

[fredrikbk]

For sure, as you point out, many such kernels have been written, going at least as far back as 1967.

We believe our contribution is being able to generate kernels for all the expressions.

Thanks for the reference though! We’re trying to learn where sparsity may be important in neural networks.

[fredrikbk]

Thanks, that is really nice of you :)