Anna V. Kononova

TeVAE model efficiently identifies anomalies in vehicle powertrain tests using time-series data.

This article discusses the significance of detecting anomalies in time-series data across industries.

A tool to improve robot maze navigation skills.

Introducing a new dataset for better anomaly detection in vehicles.

Attractor networks reveal how optimization algorithms stall during the search for solutions.