1 citations · 1 across the 7 of their papers we have counts for
4 papers · 1 filter
: A Smooth Simulation Surrogate for Optimizing Discrete Abstractions of Dynamical Systems
Jordan Peper, James Mathias Gast, Vignesh Nanduri +3
Intelligent systems are increasingly deployed in safety-critical settings with black-box controllers, including neural networks. The properties and behaviors of these end-to-end sy…
A Pragmatic Guide to Building Conservative Discrete Abstractions of Cyber-Physical Systems
Jordan Peper, Krish Kapadia, James Gast +2
Symbolic model checking is an effective approach for verifying semantically rich temporal-logic properties of cyber-physical systems, but it hinges on discretizing continuous-state…
Repairing Learning-Enabled Controllers While Preserving What Works
Pengyuan Lu, Matthew Cleaveland, Oleg Sokolsky +2
Learning-enabled controllers have been adopted in various cyber-physical systems (CPS). When a learning-enabled controller fails to accomplish its task from a set of initial states…
Causal Repair of Learning-enabled Cyber-physical Systems
Pengyuan Lu, Ivan Ruchkin, Matthew Cleaveland +2
Models of actual causality leverage domain knowledge to generate convincing diagnoses of events that caused an outcome. It is promising to apply these models to diagnose and repair…