Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: InfoSSM: Interpretable Unsupervised Learning of Nonparametric
  State-Space Model for Multi-modal Dynamics   The goal of system identification is to learn about underlying physics
dynamics behind the time-series data. To model the probabilistic and
nonparametric dynamics model, Gaussian process (GP) have been widely used; GP
can estimate the uncertainty of prediction and avoid over-fitting. Traditional
GPSSMs, however, are based on Gaussian transition model, thus often have
difficulty in describing a more complex transition model, e.g. aircraft
motions. To resolve the challenge, this paper proposes a framework using
multiple GP transition models which is capable of describing multi-modal
dynamics. Furthermore, we extend the model to the information-theoretic
framework, the so-called InfoSSM, by introducing a mutual information
regularizer helping the model to learn interpretable and distinguishable
multiple dynamics models. Two illustrative numerical experiments in simple
Dubins vehicle and high-fidelity flight simulator are presented to demonstrate
the performance and interpretability of the proposed model. Finally, this paper
introduces a framework using InfoSSM with Bayesian filtering for air traffic
control tracking.

30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat