Publications

Rustam Galljamov; Guoping Zhao; Boris Belousov; André Seyfarth; Jan Peters

Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking

In: IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Okinawa, Japan, Pages 587-593, IEEE, 2022.

Fabian Kaufmann; Mahdi Chamseddine; Suresh Guttikonda; Christian Glock; Didier Stricker; Jason Raphael Rambach

Ontology-based Semantic Labeling for RGB-D and Point Cloud Datasets

In: Computing in Construction. European Conference on Computing in Construction (EC3-2023), 2023 European Conference on Computing in Construction, July 10-12, Heraklion, Crete, Greece, ISBN 978-0-701702-73-1, EC3, 2023.

Freddy Sikouonmeu; Martin Atzmueller

Active-Learning-Driven Deep Interactive Segmentation for Cost-Effective Labeling of Crop-Weed Image Data

In: Konferenzband der 43. GIL-Jahrestagung. GIL-Jahrestagung (GIL-2023) Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2023), February 13-14, Osnabrück, Germany, GI, Bonn, 2023.

Nabeel Khalid; Fabian Schmeisser; Mohammadmahdi Koochali; Mohsin Munir; Christoffer Edlund; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

Point2Mask: A Weakly Supervised Approach for Cell Segmentation using Point Annotation

In: 2022 Annual Conference on Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (MIUA-2022), July 25-29, Cambridge, United Kingdom, MIUA, 2022.

Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

Graph neural networks for multivariate time series regression with application to seismic data

In: International Journal of Data Science and Analytics, Pages 1-16, Springer, 8/2022.

Jason Raphael Rambach; Alain Pagani; Didier Stricker

Principles of Object Tracking and Mapping

In: Andrew Yeh Ching Nee; Soh Khim Ong. Springer Handbook of Augmented Reality. Pages 53-84, Springer Handbooks, ISBN 978-3-030-67821-0, Springer, Switzerland, 1/2023.

Mahsa Manshadi; Milad Mousavi; M. Soltani; Amirhosein Mosavi; Levente Kovacs

Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System

In: Energies, Vol. 15, No. 24, Pages 9484-9494, MDPI, 12/2022.

Josip Josifovski; Mohammadhossein Malmir; Noah Klarmann; Bare Luka Zagar; Nicolás Navarro-Guerrero; Alois Knoll

Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 23-27, Kyoto, Japan, Pages 10193-10200, ISBN 978-1-66547-927-1, IEEE, 10/2022.

Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Xiaoting Shao; Kristian Kersting; Zoubin Ghahramani

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

In: Amir Globerson; Ricardo Silva (Hrsg.). Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2019), July 22-25, Tel Aviv, Israel, Pages 334-344, Proceedings of Machine Learning Research, Vol. 115, AUAI Press, 2019.

Claas Völcker; Alejandro Molina; Johannes Neumann; Dirk Westermann; Kristian Kersting

DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets

In: Peggy Cellier; Kurt Driessens (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2019), International Workshops of ECML PKDD 2019, Proceedings, Part I, September 16-20, Würzburg, Germany, Pages 28-43, Communications in Computer and Information Science, Vol. 1167, Springer, 2019.