Christian Schlauch

According to our database, Christian Schlauch authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Generative AI for Autonomous Driving: A Review.

Katharina Winter, Abhishek Vivekanandan, Rupert Polley, Yinzhe Shen, Christian Schlauch, Mohamed-Khalil Bouzidi, Bojan Derajic, Natalie Grabowsky, Annajoyce Mariani, Dennis Rochau, Giovanni Lucente, Harsh Yadav, Firas Mualla, Adam Molin, Sebastian Bernhard, Christian Wirth, Ömer Sahin Tas, Nadja Klein, Fabian B. Flohr, Hanno Gottschalk

CoRR, May, 2025

Closing the Loop: Motion Prediction Models beyond Open-Loop Benchmarks.

Mohamed-Khalil Bouzidi, Christian Schlauch, Nicole Scheuerer, Yue Yao, Nadja Klein, Daniel Göhring, Jörg Reichardt

CoRR, May, 2025

Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification.

Kumar Manas, Christian Schlauch, Adrian Paschke, Christian Wirth, Nadja Klein

CoRR, April, 2025

2024

Informed Spectral Normalized Gaussian Processes for Trajectory Prediction.

Christian Schlauch, Christian Wirth, Nadja Klein

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Informed Priors for Knowledge Integration in Trajectory Prediction.

Christian Schlauch, Christian Wirth, Nadja Klein

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Stochastic Model Predictive Control Utilizing Bayesian Neural Networks.

Johannes Pohlodek, Hendrik Alsmeier, Bruno Morabito, Christian Schlauch, Anton Savchenko, Rolf Findeisen

Proceedings of the American Control Conference, 2023

2022

Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC.

Johannes Pohlodek, Bruno Morabito, Christian Schlauch, Pablo Zometa, Rolf Findeisen

CoRR, 2022