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: "yet another proof of the entropy power inequality"
  Abstract: Yet another simple proof of the entropy power inequality is given, which avoids both the integration over a path of Gaussian perturbation and the use of Young's inequality with sharp constant or R\'enyi entropies. The proof is based on a simple change of variables, is formally identical in one and several dimensions, and easily settles the equality case.

Connected through hyperedge HE-1 (induced by source paper "transportation proofs of r enyi entropy power inequalities"):
  with members:
    - "forward and reverse entropy power inequalities in convex geometry"
    - "optimal transportation to the entropy power inequality"
    - "on renyi entropy power inequalities"
    - "two measures of dependence"
    - "variants of the entropy power inequality"
    - "renyi divergence and kullback leibler divergence"
    - "the concavity of renyi entropy power"
    - "information theoretic proofs of entropy power inequalities"

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"
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "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 "equality in the matrix entropy power inequality and blind separation of real and complex sources"):
  with members:
    - "optimal transportation to the entropy power inequality"
    - "information theoretic proofs of entropy power inequalities"
    - "complex random vectors and ica models identifiability uniqueness and separability"

Connected through hyperedge HE-4 (induced by source paper "transportation proof of an inequality by anantharam jog and nair"):
  with members:
    - "unifying the brascamp lieb inequality and the entropy power inequality"
    - "equality in the matrix entropy power inequality and blind separation of real and complex sources"
    - "sum rate capacity for symmetric gaussian multiple access channels with feedback"

Connected through hyperedge HE-5 (induced by source paper "r enyi entropy power inequalities via normal transport and rotation"):
  with members:
    - "forward and reverse entropy power inequalities in convex geometry"
    - "optimal transportation to the entropy power inequality"
    - "on renyi entropy power inequalities"
    - "variants of the entropy power inequality"
    - "the concavity of renyi entropy power"
    - "information theoretic proofs of entropy power inequalities"

Connected through hyperedge HE-6 (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"
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "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"

Connected through hyperedge HE-7 (induced by source paper "comment on the equality condition for the i mmse proof of entropy power inequality"):
  with members:
    - "optimal transportation to the entropy power inequality"
    - "wasserstein stability of the entropy power inequality for log concave densities"
    - "information theoretic proofs of entropy power inequalities"
    - "generalized entropy power inequalities and monotonicity properties of information"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-8 (induced by source paper "at every corner determining corner points of two user gaussian interference channels"):
  with members:
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "the effect of maximal rate codes on the interfering message rate"
    - "on the corner points of the capacity region of a two user gaussian interference channel"
    - "information theoretic proofs of entropy power inequalities"
    - "mutual information and minimum mean square error in gaussian channels"

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)