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20182024
most citedAutomatic Testing With Reusable Adversarial Agents

9 citations · 23 across the 9 of their papers we have counts for

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6 papers · 1 filter

eess.SY2023

Data-Driven Reachability Analysis of Stochastic Dynamical Systems with Conformal Inference

Navid Hashemi, Xin Qin, Lars Lindemann +1

We consider data-driven reachability analysis of discrete-time stochastic dynamical systems using conformal inference. We assume that we are not provided with a symbolic representa…

eess.SY2023★ 1 cited

Conformance Testing for Stochastic Cyber-Physical Systems

Xin Qin, Navid Hashemi, Lars Lindemann +1

Conformance is defined as a measure of distance between the behaviors of two dynamical systems. The notion of conformance can accelerate system design when models of varying fideli…

eess.SY2022★ 4 cited

Conformal Prediction for STL Runtime Verification

Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh +1

We are interested in predicting failures of cyber-physical systems during their operation. Particularly, we consider stochastic systems and signal temporal logic specifications, an…

eess.SY2022★ 1 cited

Risk-Awareness in Learning Neural Controllers for Temporal Logic Objectives

Navid Hashemi, Xin Qin, Jyotirmoy V. Deshmukh +4

In this paper, we consider the problem of synthesizing a controller in the presence of uncertainty such that the resulting closed-loop system satisfies certain hard constraints whi…

eess.SY2020★ 4 cited

Statistical Verification of Autonomous Systems using Surrogate Models and Conformal Inference

Chuchu Fan, Xin Qin, Yuan Xia +2

In this paper, we propose conformal inference based approach for statistical verification of CPS models. Cyber-physical systems (CPS) such as autonomous vehicles, avionic systems,…

eess.SY2018★ 3 cited

Joint Probability Distribution of Prediction Errors of ARIMA

Xin Qin, Jyotirmoy V. Deshmukh

Producing probabilistic guarantee for several steps of a predicted signal follow a temporal logic defined behavior has its rising importance in monitoring. In this paper, we derive…