Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Development of a Vertex Finding Algorithm using Recurrent Neural Network   Deep learning is a rapidly-evolving technology with possibility to
significantly improve physics reach of collider experiments. In this study we
developed a novel algorithm of vertex finding for future lepton colliders such
as the International Linear Collider. We deploy two networks; one is simple
fully-connected layers to look for vertex seeds from track pairs, and the other
is a customized Recurrent Neural Network with an attention mechanism and an
encoder-decoder structure to associate tracks to the vertex seeds. The
performance of the vertex finder is compared with the standard ILC
reconstruction algorithm.

32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org