human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "a closed form expression for the sharma mittal entropy of exponential families"
  Abstract: The Sharma-Mittal entropies generalize the celebrated Shannon, R\'enyi and Tsallis entropies. We report a closed-form formula for the Sharma-Mittal entropies and relative entropies for arbitrary exponential family distributions. We instantiate explicitly the formula for the case of the multivariate Gaussian distributions and discuss on its estimation.

Connected through hyperedge HE-1 (induced by source paper "q vae for disentangled representation learning and latent dynamical systems"):
  with members:
    - "qt opt scalable deep reinforcement learning for vision based robotic manipulation"
    - "differentiable mpc for end to end planning and control"
    - "isolating sources of disentanglement in variational autoencoders"
    - "towards a definition of disentangled representations"
    - "searching for activation functions"
    - "sigmoid weighted linear units for neural network function approximation in reinforcement learning"
    - "swish a self gated activation function"
    - "embed to control a locally linear latent dynamics model for control from raw images"

Connected through hyperedge HE-2 (induced by source paper "on the jensen shannon symmetrization of distances relying on abstract means"):
  with members:
    - "on power chi expansions of f divergences"
    - "an elementary introduction to information geometry"
    - "monte carlo information geometry the dually flat case"
    - "guaranteed bounds on information theoretic measures of univariate mixtures using piecewise log sum exp inequalities"
    - "optimal interval clustering application to bregman clustering and statistical mixture learning"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "generalized bhattacharyya and chernoff upper bounds on bayes error using quasi arithmetic means"
    - "bootstrap methods for the empirical study of decision making and information flows in social systems"

Connected through hyperedge HE-3 (induced by source paper "from sharma mittal to von neumann entropy of a graph"):
  with members:
    - "symmetric laplacians quantum density matrices and their von neumann entropy"

Connected through hyperedge HE-4 (induced by source paper "on the chain rule optimal transport distance"):
  with members:
    - "guaranteed deterministic bounds on the total variation distance between univariate mixtures"
    - "monte carlo information geometry the dually flat case"
    - "on w mixtures finite convex combinations of prescribed component distributions"
    - "fashion mnist a novel image dataset for benchmarking machine learning algorithms"
    - "guaranteed bounds on information theoretic measures of univariate mixtures using piecewise log sum exp inequalities"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "generalized bhattacharyya and chernoff upper bounds on bayes error using quasi arithmetic means"
    - "on renyi and tsallis entropies and divergences for exponential families"

Connected through hyperedge HE-5 (induced by source paper "on holder projective divergences"):
  with members:
    - "guaranteed bounds on information theoretic measures of univariate mixtures using piecewise log sum exp inequalities"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "the burbea rao and bhattacharyya centroids"
    - "statistical exponential families a digest with flash cards"

Connected through hyperedge HE-6 (induced by source paper "a generalization of the jensen divergence the chord gap divergence"):
  with members:
    - "on holder projective divergences"
    - "the burbea rao and bhattacharyya centroids"

Connected through hyperedge HE-7 (induced by source paper "formalizing neurath s ship approximate algorithms for online causal learning"):
  with members:
    - "continuous time bayesian networks"

Connected through hyperedge HE-8 (induced by source paper "guaranteed bounds on information theoretic measures of univariate mixtures using piecewise log sum exp inequalities"):
  with members:
    - "a tight convex upper bound on the likelihood of a finite mixture"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "renyi divergence and kullback leibler divergence"
    - "on renyi and tsallis entropies and divergences for exponential families"
    - "the burbea rao and bhattacharyya centroids"
    - "on the dual formulation of boosting algorithms"
    - "constructing two dimensional voronoi diagrams via divide and conquer of envelopes in space"
    - "statistical exponential families a digest with flash cards"

Question: Please tell me which class the center node 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)