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Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes


Apr 01, 2022
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David Kreil, Sepp Hochreiter

* Pre-print under review, submitted to Proceedings of Machine Learning Research 

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A Graph-based U-Net Model for Predicting Traffic in unseen Cities


Mar 01, 2022
Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling


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Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting


Oct 10, 2021
Luca Hermes, Barbara Hammer, Malte Schilling

* To be published in conference proceedings of ESANN 2021 

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Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot


May 21, 2020
Malte Schilling, Kai Konen, Frank W. Ohl, Timo Korthals

* Submitted as an IEEE conference paper (updated to 15 seeds in comparisons) 

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A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing


Nov 01, 2019
Timo Korthals, Malte Schilling, Jürgen Leitner

* Extended Abstract for the IROS 2019 Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics 

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From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility


Aug 13, 2019
Malte Schilling, Helge Ritter, Frank W. Ohl


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Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator


Apr 12, 2019
Malte Schilling

* Pre-print (accepted to IJCNN 2019) 

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Modularization of End-to-End Learning: Case Study in Arcade Games


Jan 27, 2019
Andrew Melnik, Sascha Fleer, Malte Schilling, Helge Ritter


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Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments


Apr 02, 2018
Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Miłoś, Błażej Osiński, Andrew Melnik, Malte Schilling, Helge Ritter, Sean Carroll, Jennifer Hicks, Sergey Levine, Marcel Salathé, Scott Delp

* 27 pages, 17 figures 

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