Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning and LHC Event Generation   First-principle simulations are at the heart of the high-energy physics
research program. They link the vast data output of multi-purpose detectors
with fundamental theory predictions and interpretation. This review illustrates
a wide range of applications of modern machine learning to event generation and
simulation-based inference, including conceptional developments driven by the
specific requirements of particle physics. New ideas and tools developed at the
interface of particle physics and machine learning will improve the speed and
precision of forward simulations, handle the complexity of collision data, and
enhance inference as an inverse simulation problem.

20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math