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: "wasserstein continuity of entropy and outer bounds for interference channels"
  Abstract: It is shown that under suitable regularity conditions, differential entropy is a Lipschitz functional on the space of distributions on $n$-dimensional Euclidean space with respect to the quadratic Wasserstein distance. Under similar conditions, (discrete) Shannon entropy is shown to be Lipschitz continuous in distributions over the product space with respect to Ornstein's $\bar d$-distance (Wasserstein distance corresponding to the Hamming distance). These results together with Talagrand's and Marton's transportation-information inequalities allow one to replace the unknown multi-user interference with its i.i.d. approximations. As an application, a new outer bound for the two-user Gaussian interference channel is proved, which, in particular, settles the "missing corner point" problem of Costa (1985).

Connected through hyperedge HE-1 (induced by source paper "a lower bound on the expected distortion of joint source channel coding"):
  with members:
    - "sequential empirical coordination under an output entropy constraint"
    - "a source channel separation theorem with application to the source broadcast problem"
    - "outer bounds on the admissible source region for broadcast channels with correlated sources"
    - "quasi static multiple antenna fading channels at finite blocklength"
    - "moderate deviations in channel coding"
    - "lossy joint source channel coding in the finite blocklength regime"
    - "the dispersion of joint source channel coding"

Connected through hyperedge HE-2 (induced by source paper "unifying the brascamp lieb inequality and the entropy power inequality"):
  with members:
    - "strong data processing inequalities for channels and bayesian networks"
    - "yet another proof of the entropy power inequality"
    - "superposition coding is almost always optimal for the poisson broadcast channel"
    - "an extremal inequality for long markov chains"
    - "information theoretic proofs of entropy power inequalities"

Connected through hyperedge HE-3 (induced by source paper "strong converse using change of measure arguments"):
  with members:
    - "a new proof of nonsignalling multiprover parallel repetition theorem"
    - "communication for generating correlation a survey"
    - "communication for generating correlation a unifying survey"
    - "improved finite blocklength converses for slepian wolf coding via linear programming"
    - "second order region for gray wyner network"
    - "strong converses are just edge removal properties"
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "wiretap channel capacity secrecy criteria strong converse and phase change"

Connected through hyperedge HE-4 (induced by source paper "approximability of discriminators implies diversity in gans"):
  with members:
    - "pros and cons of gan evaluation measures"
    - "generative adversarial parallelization"
    - "a classification based study of covariate shift in gan distributions"
    - "pacgan the power of two samples in generative adversarial networks"
    - "attngan fine grained text to image generation with attentional generative adversarial networks"
    - "improved training of wasserstein gans"
    - "flow gan combining maximum likelihood and adversarial learning in generative models"
    - "on the discrimination generalization tradeoff in gans"

Connected through hyperedge HE-5 (induced by source paper "estimating information flow in neural networks"):
  with members:
    - "learning representations for neural network based classification using the information bottleneck principle"
    - "opening the black box of deep neural networks via information"
    - "on the emergence of invariance and disentangling in deep representations"
    - "estimating mixture entropy with pairwise distances"
    - "noisy activation functions"
    - "deep learning and the information bottleneck principle"

Connected through hyperedge HE-6 (induced by source paper "capacity upper bounds for the relay channel via reverse hypercontractivity"):
  with members:
    - "the capacity of the relay channel solution to cover s problem in the gaussian case"
    - "brascamp lieb inequality and its reverse an information theoretic view"
    - "cut set bound is loose for gaussian relay networks"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "capacity of a class of modulo sum relay channels"

Connected through hyperedge HE-7 (induced by source paper "scaling exponent and moderate deviations asymptotics of polar codes for the awgn channel"):
  with members:
    - "on the scaling exponent of polar codes for binary input energy harvesting channels"
    - "achieving the uniform rate region of general multiple access channels by polar coding"
    - "unified scaling of polar codes error exponent scaling exponent moderate deviations and error floors"
    - "finite length scaling for polar codes"
    - "improved bounds on the finite length scaling of polar codes"
    - "polar codes for the two user multiple access channel"
    - "moderate deviations in channel coding"
    - "achieving the capacity of any dmc using only polar codes"

Connected through hyperedge HE-8 (induced by source paper "optimal transportation to the entropy power inequality"):
  with members:
    - "at every corner determining corner points of two user gaussian interference channels"
    - "links between the logarithmic sobolev inequality and the convolution inequalities for entropy and fisher information"
    - "yet another proof of the entropy power inequality"
    - "beyond the entropy power inequality via rearrangements"
    - "information theoretic proofs of entropy power inequalities"
    - "a simple proof of the entropy power inequality via properties of mutual information"
    - "generalized entropy power inequalities and monotonicity properties of information"

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)