1 citations · 1 across the 3 of their papers we have counts for
4 papers
: 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…
Towards Unified Probabilistic Verification and Validation of Vision-Based Autonomy
Jordan Peper, Yan Miao, Sayan Mitra +1
Precise and comprehensive situational awareness is a critical capability of modern autonomous systems. Deep neural networks that perceive task-critical details from rich sensory si…
Four Principles for Physically Interpretable World Models
Jordan Peper, Zhenjiang Mao, Yuang Geng +2
As autonomous systems are increasingly deployed in open and uncertain settings, there is a growing need for trustworthy world models that can reliably predict future high-dimension…