Efficient Majority-Logic Decoding of Short-Length Reed-Muller Codes at Information Positions. - Peter Hauck; Michael Huber 002; Juliane Bertram; Dennis Brauchle; Sebastian Ziesche (IEEE Trans. Commun., 2013)

Wasserstein Adversarial Imitation Learning. - Huang Xiao; Michael Herman; Jörg Wagner; Sebastian Ziesche; Jalal Etesami; Thai Hong Linh (CoRR, 2019)

Structure-Preserving Gaussian Process Dynamics. - Katharina Ensinger; Friedrich Solowjow; Sebastian Ziesche; Michael Tiemann 001; Sebastian Trimpe (ECML/PKDD (5), 2022)

Combining Slow and Fast: Complementary Filtering for Dynamics Learning. - Katharina Ensinger; Sebastian Ziesche; Barbara Rakitsch; Michael Tiemann 001; Sebastian Trimpe (AAAI, 2023)

Exact Inference for Continuous-Time Gaussian Process Dynamics. - Katharina Ensinger; Nicholas Tagliapietra; Sebastian Ziesche; Sebastian Trimpe (AAAI, 2024)

Learning Hybrid Dynamics Models with Simulator-Informed Latent States. - Katharina Ensinger; Sebastian Ziesche; Sebastian Trimpe (AAAI, 2024)

Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations. - Matthias Bitzer 001; Reinis Cimurs; Benjamin Coors; Johannes Goth; Sebastian Ziesche; Philipp Geiger; Maximilian Naumann (CoRR, 2024)