Comments (1)
Dear Albert,
Apologies for the slightly holiday-delayed response! And thanks for the nice message, and for mentioning the papers, they won't be forgotten.
We'll get in touch personally, but it would be really nice to have a meeting with BIASLab to talk about synergies between our work. RxInfer.jl and HierarchicalGaussianFiltering.jl have things in common and potentially ways of supporting each other, so we should definitely talk. My impression is that RxInfer is less designed to be a model of (human) cognition, and more to be used as a Bayesian inference engine akin to Turing.jl, while HierarchicalGaussianFiltering.jl is designed mainly with the use of cognitive modeling in mind.
We have actually discussed whether it would be nice to use RxInfer.jl with ActionModels.jl to do the model fitting, instead of Turing, which also would be nice to discuss.
You'll hear from us!
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Related Issues (20)
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