| Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation MF Stollenga, W Byeon, M Liwicki, J Schmidhuber Advances in neural information processing systems, 2015 | 369 | 2015 |
| Deep networks with internal selective attention through feedback connections MF Stollenga, J Masci, F Gomez, J Schmidhuber Advances in neural information processing systems 27, 2014 | 316 | 2014 |
| Curiosity driven reinforcement learning for motion planning on humanoids M Frank, J Leitner, M Stollenga, A Förster, J Schmidhuber Frontiers in neurorobotics 7, 25, 2014 | 119 | 2014 |
| Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots VR Kompella, M Stollenga, M Luciw, J Schmidhuber Artificial Intelligence 247, 313-335, 2017 | 66 | 2017 |
| Task-relevant roadmaps: A framework for humanoid motion planning M Stollenga, L Pape, M Frank, J Leitner, A Förster, J Schmidhuber 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 29 | 2013 |
| Autonomous learning of abstractions using curiosity-driven modular incremental slow feature analysis VR Kompella, M Luciw, M Stollenga, L Pape, J Schmidhuber 2012 IEEE International Conference on Development and Learning and …, 2012 | 27 | 2012 |
| The modular behavioral environment for humanoids and other robots (mobee) M Frank, J Leitner, M Stollenga, G Kaufmann, S Harding, A Forster, ... Proceedings of the 9th International Conference on Informatics in Control …, 2012 | 27 | 2012 |
| The neural support vector machine MA Wiering, MH Van der Ree, MJ Embrechts, MF Stollenga, A Meijster, ... BNAIC 2013: Proceedings of the 25th Benelux Conference on Artificial …, 2013 | 25 | 2013 |
| Explore to see, learn to perceive, get the actions for free: SKILLABILITY VR Kompella, MF Stollenga, MD Luciw, J Schmidhuber Neural Networks (IJCNN), 2014 International Joint Conference on, 2705-2712, 2014 | 16 | 2014 |
| Continually adding self-invented problems to the repertoire: first experiments with powerplay RK Srivastava, BR Steunebrink, M Stollenga, J Schmidhuber 2012 IEEE International Conference on Development and Learning and …, 2012 | 11 | 2012 |
| Adversarial domain feature adaptation for bronchoscopic depth estimation MA Karaoglu, N Brasch, M Stollenga, W Wein, N Navab, F Tombari, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Advances in Humanoid Control and Perception MF Stollenga Università della Svizzera italiana, 2016 | 6 | 2016 |
| Optimal curiosity-driven modular incremental slow feature analysis VR Kompella, M Luciw, MF Stollenga, J Schmidhuber Neural Computation 28 (8), 1599-1662, 2016 | 5 | 2016 |
| Using guided autoencoders on face recognition MF Stollenga, MA Wiering, LRB Schomaker Master's thesis, 2011 | 2 | 2011 |
| Embracing Hellman: A Simple Proof-of-Space Search consensus algorithm with stable block times using Logarithmic Embargo MF Stollenga Cryptology ePrint Archive, 2022 | 1 | 2022 |
| Performance of automatic Liver Volumetry for Selective Internal Radiotherapy JM Guerra, M Mustafa, T Pandeva, FA Pinto, P Matthies, J Brosch-Lenz, ... Nuklearmedizin 60 (02), 160, 2021 | 1 | 2021 |
| The Natural Gradient as a Control Signal for a Humanoid Robot MF Stollenga, AJ Lockett, J Schmidhuber IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), 2015 | 1 | 2015 |
| Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution M Stollenga, J Schmidhuber, F Gomez From Animals to Animats 13: 13th International Conference on Simulation of …, 2014 | 1 | 2014 |
| Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks V Bürgin, R Prevost, MF Stollenga International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation M Asim Karaoglu, N Brasch, M Stollenga, W Wein, N Navab, F Tombari, ... arXiv e-prints, arXiv: 2109.11798, 2021 | | 2021 |
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoVerified email at kaust.edu.sa
