1 code implementation • 12 Jul 2019 • Adithya Murali, Atharva Sehgal, Paul Krogmeier, P. Madhusudan
We consider the problem of combining machine learning models to perform higher-level cognitive tasks with clear specifications.
no code implementations • 26 Dec 2017 • Deepak D'Souza, P. Ezudheen, Pranav Garg, P. Madhusudan, Daniel Neider
We design learning algorithms for synthesizing invariants using Horn implication counterexamples (Horn-ICE), extending the ICE-learning model.
no code implementations • 15 Dec 2017 • Daniel Neider, Pranav Garg, P. Madhusudan, Shambwaditya Saha, Daejun Park
We propose a framework for synthesizing inductive invariants for incomplete verification engines, which soundly reduce logical problems in undecidable theories to decidable theories.