Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Celeste: Variational inference for a generative model of astronomical
  images   We present a new, fully generative model of optical telescope image sets,
along with a variational procedure for inference. Each pixel intensity is
treated as a Poisson random variable, with a rate parameter dependent on latent
properties of stars and galaxies. Key latent properties are themselves random,
with scientific prior distributions constructed from large ancillary data sets.
We check our approach on synthetic images. We also run it on images from a
major sky survey, where it exceeds the performance of the current
state-of-the-art method for locating celestial bodies and measuring their
colors.

14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom