ELBOs defined by an SMC's marginal likelihood estimation

Hello!

Have there been any past efforts, or are there any future plans, to implement an ELBO loss based on marginal likelihood estimation using a particle filter (SMC)? Relevant papers: Filtering Variational Objectives, Variational Sequential Monte Carlo, Auto-Encoding Sequential Monte Carlo.

I’m interested in discussing the possibility of implementing these methods, as I am currently experimenting with differentiable resampling algorithms for particle filters and would like to use Pyro for implementation. Additionally, I would appreciate any guidance from a core developer.

i am not aware of any such plans past or present.

it would of course be possible to do so but i suppose for practical reasons one would probably want to commit to some relatively restricted class of models (no nested time series or any such craziness)