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20212026
most citedPart-X: A Family of Stochastic Algorithms for Search-Based Test Generation with Probabilistic Guarantees

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Diffusion-Guided Search via Exponential Tilting (DiffTilt): An Application to Falsification of Safety-Critical Systems

Tanmay Khandait, Preetom Biswas, Hideki Okamoto +3

Discovering rare safety-critical failures in autonomous and cyber-physical systems is a fundamental challenge in verification and validation. Existing falsification approaches rely…

cs.SE2025

MultiCoSim: A Python-based Multi-Fidelity Co-Simulation Framework

Quinn Thibeault, Giulia Pedrielli

Simulation is a foundational tool for the analysis and testing of cyber-physical systems (CPS), underpinning activities such as algorithm development, runtime monitoring, and syste…

cs.LG2023

Parameter Optimization with Conscious Allocation (POCA)

Joshua Inman, Tanmay Khandait, Giulia Pedrielli +1

The performance of modern machine learning algorithms depends upon the selection of a set of hyperparameters. Common examples of hyperparameters are learning rate and the number of…

cs.LG2021★ 5 cited

Part-X: A Family of Stochastic Algorithms for Search-Based Test Generation with Probabilistic Guarantees

Giulia Pedrielli, Tanmay Khandait, Surdeep Chotaliya +4

Requirements driven search-based testing (also known as falsification) has proven to be a practical and effective method for discovering erroneous behaviors in Cyber-Physical Syste…

cs.SE2021

PSY-TaLiRo: A Python Toolbox for Search-Based Test Generation for Cyber-Physical Systems

Quinn Thibeault, Jacob Anderson, Aniruddh Chandratre +2

In this paper, we present the Python package PSY-TaLiRo which is a toolbox for temporal logic robustness guided falsification of Cyber-Physical Systems (CPS). PSY-TaLiRo is a compl…