Edi Muškardin

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Ph.D. Student @ DES Lab/TU Graz

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Publications

I attempt to keep track of the publications here, but Google Scholar might be more up to date :)

2024

Learning Environment Models with Continuous Stochastic Dynamics

Active Model Learning of Git Version Control System

Active Learning of Stochastic Reactive Systems (Extended Version)

2023

Mining Digital Twins of a VPN Server

Testing-based Black-box Extraction of Simple Models from RNNs and Transformers

Won the TAYSIR competition :)

Reinforcement Learning Under Partial Observability Guided by Learned Environment Models

On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth

2022

Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols

Automata Learning meets Shielding

Learning Finite State Models from Recurrent Neural Networks

AALpy: Active Automata Learning Library (extended version)

2021

Active Learning of Stochastic Reactive Systems

Won best paper award :)

Automata Learning Enabling Model-Based Diagnosis

AALpy: Active Automata Learning Library

Learning-Based Fuzzing of IoT Message Brokers

Diagnosing Cyber-Physical Systems with CatIO

CatIO - A Framework for Model-Based Diagnosis of Cyber-Physical Systems

Implementation of Hashing Algorithms in Stream Mining