Publications

Hristina Uzunova; Jesse Kruse; Paul Kaftan; Matthias Wilms; Nils D Forkert; Heinz Handels; Jan Ehrhardt

Analysis of Generative Shape Modeling Approaches: Latent Space Properties and Interpretability

In: Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Workshop Bildverarbeitung für die Medizin (BVM-2021), March 7-9, Regensburg, Germany, Pages 344-349, Springer, 2021.

Hristina Uzunova; Paul Kaftan; Matthias Wilms; Nils D. Forkert; Heinz Handels; Jan Ehrhardt

Quantitative Comparison of Generative Shape Models for Medical Images

In: Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (Hrsg.). Bildverarbeitung für die Medizin 2020. Workshop Bildverarbeitung für die Medizin (BVM-2020), March 15-17, Berlin, Germany, Pages 201-207, ISBN 978-3-658-29267-6, Springer Fachmedien Wiesbaden, 2020.

Viktor Eisenstadt; Hardik Arora; Christoph Ziegler; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture

In: CAADRIA 2021 Proceedings. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2021), March 29 - April 1, Hong Kong/Virtual, Hong Kong, Cumincad, 2021.

Ahmet Firintepe; Carolin Vey; Stylianos Asteriadis; Alain Pagani; Didier Stricker

From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation

In: Nadia Magnenat Thalmann (Hrsg.). Journal of Imaging, Vol. 7, No. 80, Pages 1-18, MDPI, 4/2021.

Swaroop Bhandary; Nico Hochgeschwender; Paul Plöger; Frank Kirchner; Matias Valdenegro-Toro

Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds

In: Workshop on Uncertainty and Robustness in Deep Learning. International Conference on Machine Learning (ICML-2020), July 12-18, Online, Austria, Keine, 2020.

Noshaba Cheema; Laura A. Frey-Law; Kourosh Naderi; Jaakko Lehtinen; Philipp Slusallek; Perttu Hämäläinen

Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning

In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM International Conference on Human Factors in Computing Systems (CHI-2020), April 25-30, Honolulu, HI, USA, ISBN 9781450367080, Association for Computing Machinery, 2020.

Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

(alpha)ILP: thinking visual scenes as differentiable logic programs

In: Machine Learning, Vol. 112, No. 5, Pages 1465-1497, Springer, 2023.

Daan Wierstra; Alexander Förster; Jan Peters; Jürgen Schmidhuber

Solving Deep Memory POMDPs with Recurrent Policy Gradients

In: Joaquim Marques de Sá; Luís A. Alexandre; Wlodzislaw Duch; Danilo P. Mandic (Hrsg.). Artificial Neural Networks - ICANN 2007, 17th International Conference, Proceedings. International Conference on Artificial Neural Networks (ICANN-2007), September 9-13, Porto, Portugal, Pages 697-706, Lecture Notes in Computer Science, Vol. 4668, Springer, 2007.

Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

Robust Value Iteration for Continuous Control Tasks

In: Dylan A. Shell; Marc Toussaint; M. Ani Hsieh (Hrsg.). Robotics: Science and Systems XVII. Robotics: Science and Systems (RSS-2021), July 12-16, Virtual Event, Robotics Science and Systems, Online Proceedings, 2021.

Antoine Grosnit; Rasul Tutunov; Alexandre Max Maraval; Ryan-Rhys Griffiths; Alexander I. Cowen-Rivers; Lin Yang; Lin Zhu; Wenlong Lyu; Zhitang Chen; Jun Wang; Jan Peters; Haitham Bou-Ammar

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2106.03609, Pages 0-10, arXiv, 2021.