We show that recursive programs where variables range over finite domains can be effectively and efficiently analyzed by describing the analysis algorithm using a formula in a ...
Salvatore La Torre, Parthasarathy Madhusudan, Genn...
We develop a new technique of proving lower bounds for the randomized communication complexity of boolean functions in the multiparty `Number on the Forehead' model. Our meth...
Abstract. Context-Bounded Analysis has emerged as a practical automatic formal analysis technique for fine-grained, shared-memory concurrent software. Two recent papers (in CAV 20...
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...