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 "inference over programs that make predictions"):
  Abstract: This abstract extends on the previous work (arXiv:1407.2646, arXiv:1606.00075) on program induction using probabilistic programming. It describes possible further steps to extend that work, such that, ultimately, automatic probabilistic program synthesis can generalise over any reasonable set of inputs and outputs, in particular in regard to text, image and video data.

Includes members:
  Member "a universal marginalizer for amortized inference in generative models":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "learning about an exponential amount of conditional distributions")
  Member "inference compilation and universal probabilistic programming":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learning compositional rules via neural program synthesis")
  Member "data driven sequential monte carlo in probabilistic programming":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multiverse causal reasoning using importance sampling in probabilistic programming")
  Member "a compilation target for probabilistic programming languages":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "lazy object copy as a platform for population based probabilistic programming")
  Member "venture a higher order probabilistic programming platform with programmable inference":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "stochastically differentiable probabilistic programs")
  Member "approximate bayesian image interpretation using generative probabilistic graphics programs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "are we done with object recognition the icub robot s perspective")
  Member "efficient estimation of word representations in vector space":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on contextual embeddings")
  Member "church a language for generative models":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "semiring programming a declarative framework for generalized sum product problems")

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.AI(Artificial Intelligence)