human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "latent factor analysis of gaussian distributions under graphical constraints"):
  Abstract: In this paper, we explored the algebraic structures of solution spaces for Gaussian latent factor analysis when the population covariance matrix $\Sigma_x$ is generated due to a latent Gaussian star graph. In particular, we found sufficient and necessary conditions under which the solutions to constrained minimum trace factor analysis (CMTFA) and constrained minimum determinant factor analysis (CMDFA) is still star. The later one (CMDFA) is also the problem of Wyner's common information, which has been under extensive study in recent years. In addition, we further showed that the solution to CMTFA under the star constraint can only have two cases, i.e. the number of latent variable can be only one (star) or $n-1$, where $n$ is the dimension of the observable vector.

Includes members:
  Member "model approximation using cascade of tree decompositions":
    also connected through other hyperedges:
      (none)
  Member "learning latent superstructures in variational autoencoders for deep multidimensional clustering":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "improving vae generations of multimodal data through data dependent conditional priors")
  Member "a survey on latent tree models and applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "tensorial mixture models")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.IT(Information Theory)