3 citations · 8 across the 22 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Learning Representations Through Contrastive Neural Model Checking
Vladimir Krsmanovic, Matthias Cosler, Mohamed Ghanem +1
Model checking is a key technique for verifying safety-critical systems against formal specifications, where recent applications of deep learning have shown promise. However, while…
cs.LG2024
Learning Better Representations From Less Data For Propositional Satisfiability
Mohamed Ghanem, Frederik Schmitt, Julian Siber +1
Training neural networks on NP-complete problems typically demands very large amounts of training data and often needs to be coupled with computationally expensive symbolic verifie…