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: "exponential condition based barrier certificate generation for safety verification of hybrid systems"
  Abstract: A barrier certificate is an inductive invariant function which can be used for the safety verification of a hybrid system. Safety verification based on barrier certificate has the benefit of avoiding explicit computation of the exact reachable set which is usually intractable for nonlinear hybrid systems. In this paper, we propose a new barrier certificate condition, called Exponential Condition, for the safety verification of semi-algebraic hybrid systems. The most important benefit of Exponential Condition is that it has a lower conservativeness than the existing convex condition and meanwhile it possesses the property of convexity. On the one hand, a less conservative barrier certificate forms a tighter over-approximation for the reachable set and hence is able to verify critical safety properties. On the other hand, the property of convexity guarantees its solvability by semidefinite programming method. Some examples are presented to illustrate the effectiveness and practicality of our method.

Connected through hyperedge HE-1 (induced by source paper "an inductive synthesis framework for verifiable reinforcement learning"):
  with members:
    - "concolic testing for deep neural networks"
    - "programmatically interpretable reinforcement learning"
    - "reachability analysis of deep neural networks with provable guarantees"
    - "verifiable reinforcement learning via policy extraction"
    - "feature guided black box safety testing of deep neural networks"
    - "deep reinforcement learning an overview"
    - "towards generalization and simplicity in continuous control"
    - "reluplex an efficient smt solver for verifying deep neural networks"

Connected through hyperedge HE-2 (induced by source paper "a class of control certificates to ensure reach while stay for switched systems"):
  with members:
    - "controller synthesis with inductive proofs for piecewise linear systems an smt based algorithm"
    - "counter example guided synthesis of control lyapunov functions for switched systems"
    - "automata theory meets barrier certificates temporal logic verification of nonlinear systems"

Connected through hyperedge HE-3 (induced by source paper "abstraction of elementary hybrid systems by variable transformation"):
  with members:
    - "change of bases abstractions for non linear systems"
    - "computing semi algebraic invariants for polynomial dynamical systems"

Connected through hyperedge HE-4 (induced by source paper "barrier certificates revisited"):
  with members:
    - "abstraction of elementary hybrid systems by variable transformation"
    - "generating non linear interpolants by semidefinite programming"
    - "proving inequalities and solving global optimization problems via simplified cad projection"
    - "computing semi algebraic invariants for polynomial dynamical systems"
    - "exact safety verification of hybrid systems using sums of squares representation"

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.SE(Software Engineering)