Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generalized Energy Based Models   We introduce the Generalized Energy Based Model (GEBM) for generative
modelling. These models combine two trained components: a base distribution
(generally an implicit model), which can learn the support of data with low
intrinsic dimension in a high dimensional space; and an energy function, to
refine the probability mass on the learned support. Both the energy function
and base jointly constitute the final model, unlike GANs, which retain only the
base distribution (the "generator"). GEBMs are trained by alternating between
learning the energy and the base. We show that both training stages are
well-defined: the energy is learned by maximising a generalized likelihood, and
the resulting energy-based loss provides informative gradients for learning the
base. Samples from the posterior on the latent space of the trained model can
be obtained via MCMC, thus finding regions in this space that produce better
quality samples. Empirically, the GEBM samples on image-generation tasks are of
much better quality than those from the learned generator alone, indicating
that all else being equal, the GEBM will outperform a GAN of the same
complexity. When using normalizing flows as base measures, GEBMs succeed on
density modelling tasks, returning comparable performance to direct maximum
likelihood of the same networks.

36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn