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)

Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. - Johannes Pohlodek; Hendrik Alsmeier; Bruno Morabito; Christian Schlauch; Anton Savchenko; Rolf Findeisen (ACC, 2023)

Informed Priors for Knowledge Integration in Trajectory Prediction. - Christian Schlauch; Christian Wirth 001; Nadja Klein (ECML/PKDD (5), 2023)

Informed Spectral Normalized Gaussian Processes for Trajectory Prediction. - Christian Schlauch; Christian Wirth 001; Nadja Klein (ECAI, 2024)

Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification. - Kumar Manas; Christian Schlauch; Adrian Paschke; Christian Wirth 001; Nadja Klein (CoRR, 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, 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; et al. (CoRR, 2025)