> 2) There are a lot of local and global symmetries in physics -- i wonder what new capabilities adding them to a CNN would enable?
It would be trivial to make any ML model satisfy dimensional homogeneity. Just use only dimensionless variables consistent with the Buckingham Pi theorem. Other symmetries would probably have to be baked in from the start.
As I recall some engineers are developing ML-like models that satisfy all sorts of physical constraints under the name "model order reduction".
It would be trivial to make any ML model satisfy dimensional homogeneity. Just use only dimensionless variables consistent with the Buckingham Pi theorem. Other symmetries would probably have to be baked in from the start.
As I recall some engineers are developing ML-like models that satisfy all sorts of physical constraints under the name "model order reduction".