activity
20232026
most citedState-Dependent Conformal Perception Bounds for Neuro-Symbolic Verification of Autonomous Systems

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

MLE-UVAD: Minimal Latent Entropy Autoencoder for Fully Unsupervised Video Anomaly Detection

Yuang Geng, Junkai Zhou, Kang Yang +5

In this paper, we address the challenging problem of single-scene, fully unsupervised video anomaly detection (VAD), where raw videos containing both normal and abnormal events are…

cs.CV2025

Deterministic World Models for Closed-loop Reachability Analysis of End-to-End Vision-based Control

Yuang Geng, Zhongzheng Zhang, Chengzhen Jiang +5

End-to-end image controllers that map raw camera frames directly to control actions are increasingly deployed in safety-critical systems. However, formally verifying their closed-l…

eess.SY2025

Statistical-Symbolic Verification of Perception-Based Autonomous Systems using State-Dependent Conformal Prediction

Yuang Geng, Thomas Waite, Trevor Turnquist +2

Reachability analysis has been a prominent way to provide safety guarantees for neurally controlled autonomous systems, but its direct application to neural perception components i…

cs.LG2025

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…

eess.SY2025★ 2 cited

State-Dependent Conformal Perception Bounds for Neuro-Symbolic Verification of Autonomous Systems

Thomas Waite, Yuang Geng, Trevor Turnquist +2

It remains a challenge to provide safety guarantees for autonomous systems with neural perception and control. A typical approach obtains symbolic bounds on perception error (e.g.,…

cs.LG2024

Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models

Zhenjiang Mao, Siqi Dai, Yuang Geng +1

A world model creates a surrogate world to train a controller and predict safety violations by learning the internal dynamic model of systems. However, the existing world models re…

cs.LG2023★ 1 cited

Bridging Dimensions: Confident Reachability for High-Dimensional Controllers

Yuang Geng, Jake Brandon Baldauf, Souradeep Dutta +2

Autonomous systems are increasingly implemented using end-to-end learning-based controllers. Such controllers make decisions that are executed on the real system, with images as on…