3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.FL2026
Testing and Learning Symbolic Finite State Machines
Wen-ling Huang, Jan Peleska
Symbolic finite state machines (SFSMs) describe input/output behaviour using guards and output assignments with possibly infinite data domains. We study deterministic and completel…
cs.CV2023★ 3 cited
A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networks
Jan Peleska, Felix Brüning, Mario Gleirscher +1
This technical report presents research results achieved in the field of verification of trained Convolutional Neural Network (CNN) used for image classification in safety-critical…