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: "entropy bounds for discrete random variables via maximal coupling"
  Abstract: This paper derives new bounds on the difference of the entropies of two discrete random variables in terms of the local and total variation distances between their probability mass functions. The derivation of the bounds relies on maximal coupling, and they apply to discrete random variables which are defined over finite or countably infinite alphabets. Loosened versions of these bounds are demonstrated to reproduce some previously reported results. The use of the new bounds is exemplified for the Poisson approximation, where bounds on the local and total variation distances follow from Stein's method.

Connected through hyperedge HE-1 (induced by source paper "minimum entropy couplings and their applications"):
  with members:
    - "strong functional representation lemma and applications to coding theorems"
    - "bounds on the entropy of a function of a random variable and their applications"
    - "mutual information bounds via adjacency events"
    - "entropic causal inference"
    - "on the entropy of couplings"
    - "sumset and inverse sumset inequalities for differential entropy and mutual information"
    - "entropic inequalities and marginal problems"
    - "a metric between probability distributions on finite sets of different cardinalities and applications to order reduction"

Connected through hyperedge HE-2 (induced by source paper "asymptotic finite sample information losses in neural classifiers"):
  with members:
    - "mine mutual information neural estimation"
    - "emergence of invariance and disentanglement in deep representations"
    - "opening the black box of deep neural networks via information"
    - "adam a method for stochastic optimization"
    - "tighter variational representations of f divergences via restriction to probability measures"
    - "active learning with statistical models"

Connected through hyperedge HE-3 (induced by source paper "information losses in neural classifiers from sampling"):
  with members:
    - "mine mutual information neural estimation"
    - "opening the black box of deep neural networks via information"
    - "on the emergence of invariance and disentangling in deep representations"
    - "train faster generalize better stability of stochastic gradient descent"
    - "deep learning and the information bottleneck principle"
    - "openml networked science in machine learning"

Connected through hyperedge HE-4 (induced by source paper "generalized fano type inequality for countably infinite systems with list decoding"):
  with members:
    - "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions"
    - "asymptotic coupling and its applications in information theory"
    - "a proof of the strong converse theorem for gaussian multiple access channels"
    - "concentration of measure inequalities in information theory communications and coding second edition"
    - "renyi divergence and kullback leibler divergence"
    - "some properties of renyi entropy over countably infinite alphabets"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"

Connected through hyperedge HE-5 (induced by source paper "asymptotic coupling and its applications in information theory"):
  with members:
    - "divergence scaling of fixed length binary output one to one distribution matching"
    - "measuring secrecy by the probability of a successful guess"
    - "fundamental limits of communication with low probability of detection"
    - "distributed simulation of continuous random variables"
    - "covert communication over noisy channels a resolvability perspective"
    - "generalized common information common information extraction and private sources synthesis"
    - "source channel secrecy for shannon cipher system"
    - "on the entropy of couplings"

Connected through hyperedge HE-6 (induced by source paper "sharp bounds on arimoto s conditional r e nyi entropies between two distinct orders"):
  with members:
    - "encoding tasks and renyi entropy"
    - "extremes of error exponents"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"

Connected through hyperedge HE-7 (induced by source paper "f divergence inequalities"):
  with members:
    - "strong converse theorems for classes of multimessage multicast networks a renyi divergence approach"
    - "optimal quantization for distribution synthesis"
    - "e_ gamma resolvability"
    - "bounds between contraction coefficients"
    - "one shot mutual covering lemma and marton s inner bound with a common message"
    - "refinement of some moment inequalities"
    - "on the renyi divergence joint range of relative entropies and a channel coding theorem"
    - "resolvability in e γ with applications to lossy compression and wiretap channels"

Connected through hyperedge HE-8 (induced by source paper "strong secrecy on a class of degraded broadcast channels using polar codes"):
  with members:
    - "a comparative study of polar code constructions for the awgn channel"
    - "polar codes for broadcast channels"
    - "achieving secrecy capacity of the wiretap channel and broadcast channel with a confidential component"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"
    - "polar coding for interference networks"
    - "an information theoretic approach to secret sharing"
    - "polar coding for secret key generation"
    - "efficient one way secret key agreement and private channel coding via polarization"

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)