Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption. - Julian Vexler; Stefan Kramer 001 (DS, 2019)

Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series. - Antoine Garcon; Julian Vexler; Dmitry Budker; Stefan Kramer 001 (CoRR, 2021)

Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework. - Julian Vexler; Stefan Kramer 001 (ECAI, 2023)

Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach. - Julian Vexler; Stefan Kramer 001 (FUSION, 2023)

Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks. - Julian Vexler; Björn Vieten; Martin Nelke; Stefan Kramer 001 (IDA, 2025)