Adaptive Reweighting of BPINN Loglikelihood#798
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AstitvaAggarwal wants to merge 12 commits intoSciML:masterfrom
Draft
Adaptive Reweighting of BPINN Loglikelihood#798AstitvaAggarwal wants to merge 12 commits intoSciML:masterfrom
AstitvaAggarwal wants to merge 12 commits intoSciML:masterfrom
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…uralPDE.jl into adaptiveBPINN
…uralPDE.jl into adaptiveBPINN
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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 |
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I think some of the Flux issues should be gone because master entirely uses Lux now? |
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yes, now that Lux and OptimisationOptimisers is used for MinMax, ill come back to this after #799. |
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Checklist
contributor guidelines, in particular the SciML Style Guide and
COLPRAC.
Additional context
changes from closed PR #785, solve issue #713