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License: MIT License
Python package for Geometric / Clifford Algebra with Pytorch.
License: MIT License
Dear all,
First of all, thank you for this framework. I reckon this framework would be benefitial for many.
In our recently accepted work (Cliford Embeddings at ECML 23), we observed that learning embeddings based on CL_{p,q} gives a quite bit of flexibility.
Yet, as the p and/or q grows, explicitly computing an element-wise multiplication becomes difficult to implement, since we have many valid of p and q.
So, my question would be
=> Let x
and y
denote two n
by d
dimensional pytorch.FloatTensor
, respectivly.
Can we perform the element-wise multiplication of x
and y
in any valid CL(\mathbb{R}^d)_{p,q}
?
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