variational-inference Search Results

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jax-ml/jax #3335

Random nan values from value_and_grad under jit

We have recently encountered a strange bug which manifested itself in `nan` values resulting from the computation - specifically in the gradient computation - under specific circumstances which I'll t…

lumip updated 2 years ago
10
jungwoo-ha/WeeklyArxivTalk #28

[20211030] Weekly AI ArXiv 만담

- News - [Facebook has gone~ Meta has come!!!!](https://news.naver.com/main/read.naver?mode=LSD&mid=sec&sid1=101&oid=015&aid=0004622175) - [State of AI Report 2021](https://www.stateof.ai/) ![…

jungwoo-ha updated 2 years ago
7
hyunjimoon/SBC #37

Vignette on adding new backends

We also might want to have backends be able to influence the default thinning (e.g. for ADVI/optimizing fits it makes no sense to thin as the samples from the approximate posterior are already indepen…

martinmodrak updated 3 years ago
3
rll-research/url_benchmark #2

Task identification mechanism in APS

Dear Misha Laskin, I am very grateful for open-sourcing the well-written code. It is really helpful for my research! However, I have one question about the implementation of fine-tuning APS. …

junsu-kim97 updated 3 years ago
5
jnez71/kalmaNN #9

How is the Jacobian Calculated?

Hi, I am working with this for quite some time to replicate onto my own thesis, but I am having some troubles understanding how the Jacobian is calculated. Can someone share some insight? Or po…

Melkeydev updated 2 years ago
8
EFS-OpenSource/calibration-framework #18

Where can I view the paper "Bayesian Confidence Calibration …

Where can I view the paper "Bayesian Confidence Calibration for Epistemic Uncertainty Modelling"? I can't find it anywhere on the internet including on google scholar search. I can only find is the …

sieu-n updated 3 years ago
2
FirstHandScientist/genhmm #7

Assumption of having inputs with even size features

Hi, Thanks for sharing your code. I am adapting your code on my own dataset with different pre-processing and I faced the following issue: As mentioned in "_chunk" function of realnvp.py you hav…

Farzin-Negahbani updated 3 years ago
2
BAMresearch/probeye #26

Differentiable forward solver if we plan to use Torch/Tensor…

Most of the ML based probabilistic packages (Pyro--> torch, Tensorflow Probability --> tensorflow) have the prerequisite that everything is differentiable. If our forward solver doesnt pass jacobians …

atulag0711 updated 3 years ago
5
JuliaGaussianProcesses/AbstractGPs.jl #169

Implementing Advanced Variational GaussianProcess Models - G…

This is a meta-issue for information/discussion about [my GSoC project](https://summerofcode.withgoogle.com/projects/#6482838431465472) The original plan (as in [the proposal](https://www.overleaf.…

rossviljoen updated 3 years ago
4
scverse/scvi-tools #1154

Missing an easy way to get intermediate variables computed b…

**Is your feature request related to a problem? Please describe.** From a trained scVI model one can get the variable `\rho` (mean of the Gamma in the GammaPoisson) very easily with `model.get_norma…

LucaMarconato updated 3 years ago
3

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1000+ results for variational-inference

1000+ results
for variational-inference