End-to-End Learning of Deterministic Decision Trees. - Thomas M. Hehn; Fred A. Hamprecht (GCPR, 2018)

Instance Stixels: Segmenting and Grouping Stixels into Objects. - Thomas M. Hehn; Julian F. P. Kooij; Dariu M. Gavrila (IV, 2019)

Hearing What You Cannot See: Acoustic Detection Around Corners. - Yannick Schulz; Avinash Kini Mattar; Thomas M. Hehn; Julian F. P. Kooij (CoRR, 2020)

End-to-End Learning of Decision Trees and Forests. - Thomas M. Hehn; Julian F. P. Kooij; Fred A. Hamprecht (Int. J. Comput. Vis., 2020)

Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners. - Yannick Schulz; Avinash Kini Mattar; Thomas M. Hehn; Julian F. P. Kooij (IEEE Robotics Autom. Lett., 2021)

How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning? - Thomas M. Hehn; Julian F. P. Kooij; Dariu M. Gavrila (CoRR, 2022)

Fast and Compact Image Segmentation Using Instance Stixels. - Thomas M. Hehn; Julian F. P. Kooij; Dariu Gavrila (IEEE Trans. Intell. Veh., 2022)

Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. - Thomas M. Hehn; Tribhuvanesh Orekondy; Ori Shental; Arash Behboodi; Juan Bucheli; Akash S. Doshi; June Namgoong; Taesang Yoo; Ashwin Sampath; Joseph B. Soriaga (GLOBECOM, 2023)

Simulating, Fast and Slow: Learning Policies for Black-Box Optimization. - Fabio Valerio Massoli; Tim Bakker; Thomas Hehn 001; Tribhuvanesh Orekondy; Arash Behboodi (CoRR, 2024)

Probabilistic and Differentiable Wireless Simulation with Geometric Transformers. - Thomas Hehn 001; Markus Peschl; Tribhuvanesh Orekondy; Arash Behboodi; Johann Brehmer (CoRR, 2024)

Differentiable and Learnable Wireless Simulation with Geometric Transformers. - Thomas Hehn 001; Markus Peschl; Tribhuvanesh Orekondy; Arash Behboodi; Johann Brehmer (ICLR, 2025)