Would you be able to leverage any of the work that's being done around so called "neural ODE's"?
The Julia community seems to be doing some really cool at the intersection of the 2 fields and it seems like it could be useful if you've already got some kind of pre-existing model/structure to hang the ML part off:
The Julia community seems to be doing some really cool at the intersection of the 2 fields and it seems like it could be useful if you've already got some kind of pre-existing model/structure to hang the ML part off:
* https://julialang.org/blog/2019/01/fluxdiffeq/
* https://mitmath.github.io/18337/lecture15/diffeq_machine_lea...