-
**Submitting author:** @homerjed (Jed Homer)
**Repository:** https://github.com/homerjed/sbiax
**Branch with paper.md** (empty if default branch):
**Version:** 0.0.9
**Editor:** Pending
**Reviewers:*…
-
currently only kalman filters are implemented for the imm in filterpy lib (at least I think so)
- [x] check this!
- [x] implement pf in imm (as we and D Weidemann did in ASIM 2023)
- [ ] add KDE to…
-
**Submitting author:** @devarops (Evaristo Rojas Mayoral)
**Repository:** https://github.com/IslasGECI/nerd
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.0
**Editor:** @marcos…
-
Hi, this is amazing work. Is that possible to get the log-likelihood of predicted samples using this framework?
-
https://arxiv.org/pdf/2108.00089.pdf
-
There are various ways this could be done:
* purely from samples. pros: model agnostic, cons: high variance, need to use a kernel method
* using mixture of gaussians: pros: lower variance, cons: ver…
-
**Submitting author:** @rajitachandak (Rajita Chandak)
**Repository:** https://github.com/nppackages/lpcde
**Branch with paper.md** (empty if default branch):
**Version:** v.0.1.4
**Editor:** @spholm…
-
Thanks for sharing the good work. Is there any implementation for [kernel density estimation](https://en.wikipedia.org/wiki/Multivariate_kernel_density_estimation) available ([univariate](https://book…
-
**Describe the feature you'd like to have**
As discussed in #277, we should have a long term goal of implementing a density estimation API, just as we have a probabilities API.
The reason is th…
-
Now we have a forward model $f(\vec{\theta})$ (an NN emulator) which could return the SED of given physical parameters. Then we need to build a neural density estimator to describe the $P(\vec{\theta}…