Analysis of the Effect of Various Input Representations for LSTM-Based Trajectory Prediction. - Antonia Breuer; Sven Elflein; Tim Joseph; Jan-Aike Bolte; Silviu Homoceanu; Tim Fingscheidt (ITSC, 2019)

Cycle-Consistent World Models for Domain Independent Latent Imagination. - Sidney Bender; Tim Joseph; J. Marius Zöllner (ECCV Workshops (5), 2022)

Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. - Daniel Bogdoll; Moritz Nekolla; Tim Joseph; J. Marius Zöllner (IV, 2022)

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. - Julian Wörmann; Daniel Bogdoll; Etienne Bührle; Han Chen; Evaristus Fuh Chuo; Kostadin Cvejoski; Ludger van Elst; Tobias Gleißner; Philip Gottschall; Stefan Griesche; Christian Hellert; Christian Hesels; et al. (CoRR, 2022)

Predicting Patient Status in Chronic Thromboembolic Pulmonary Hypertension Using a Biophysical Model. - Behdad Shaarbaf Ebrahimi; Prashanna Khwaounjoo; Finbar Argus; Ho-Fung Chan; Martyn P. Nash; David McGiffin; David Kaye; Atsuo Doi; Tim Joseph; Helen Whitford; Merryn H. Tawhai (EMBC, 2023)

Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving. - Daniel Bogdoll; Lukas Bosch; Tim Joseph; Helen Gremmelmaier; Yitian Yang; J. Marius Zöllner (SSCI, 2023)

Hybrid Video Anomaly Detection for Autonomous Driving. - Daniel Bogdoll; Jan Imhof; Tim Joseph; Svetlana Pavlitska; J. Marius Zöllner (BMVC Workshops, 2024)

UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. - Daniel Bogdoll; Noël Ollick; Tim Joseph; Svetlana Pavlitska; J. Marius Zöllner (BMVC Workshops, 2024)

Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions. - Daniel Bogdoll; Jing Qin; Moritz Nekolla; Ahmed Abouelazm; Tim Joseph; J. Marius Zöllner (ICRA, 2024)

Dream to Drive: Learning Conditional Driving Policies in Imagination. - Tim Joseph; Marcus Fechner; Ahmed Abouelazm; J. Marius Zöllner (ITSC, 2024)

UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. - Daniel Bogdoll; Noël Ollick; Tim Joseph; J. Marius Zöllner (CoRR, 2024)

Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving. - Daniel Bogdoll; Jan Imhof; Tim Joseph; J. Marius Zöllner (CoRR, 2024)

Constrained Meta Agnostic Reinforcement Learning. - Karam Daaboul; Florian Kuhm; Tim Joseph; J. Marius Zoellner (CoRR, 2024)

Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving. - Ahmed Abouelazm; Jonas Michel; Helen Gremmelmaier; Tim Joseph; Philip Schörner; J. Marius Zöllner (CoRR, 2025)

Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning. - Ahmed Abouelazm; Tim Weinstein; Tim Joseph; Philip Schörner; J. Marius Zöllner (CoRR, 2025)