2 papers
cs.LG2026
Drivetrain simulation using variational autoencoders
Pallavi Sharma, Jorge-Humberto Urrea-Quintero, Bogdan Bogdan +4
This work proposes variational autoencoders (VAEs) to predict a vehicle's jerk signals from torque demand in the context of limited real-world drivetrain datasets. We implement bot…
cs.LG2025
Good Enough to Learn: LLM-based Anomaly Detection in ECU Logs without Reliable Labels
Bogdan Bogdan, Arina Cazacu, Laura Vasilie
Anomaly detection often relies on supervised or clustering approaches, with limited success in specialized domains like automotive communication systems where scalable solutions ar…