-
-
Notifications
You must be signed in to change notification settings - Fork 201
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Adaptive Reweighting of BPINN Loglikelihood #798
base: master
Are you sure you want to change the base?
Conversation
…uralPDE.jl into adaptiveBPINN
…uralPDE.jl into adaptiveBPINN
The PINN reweighing strategy cannot be directly applied to Multi Objective Bayesian Optimization (GradientScale Adaptive weighting works but gives inaccurate results, MinMax weighing uses Flux within and is giving problems on differentiating the Composite Dual type LogPosterior), it will need a completely new implementation. Current Literature on this is also at a early stage. I will still need to understand more to get a working model. cc: @ChrisRackauckas @Vaibhavdixit02 |
I think some of the Flux issues should be gone because master entirely uses Lux now? |
yes, now that Lux and OptimisationOptimisers is used for MinMax, ill come back to this after #799. |
Checklist
contributor guidelines, in particular the SciML Style Guide and
COLPRAC.
Additional context
changes from closed PR #785, solve issue #713