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ORCIDMarijn F. Stollenga
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- affiliation: Dalle Molle Institute for Artificial Intelligence Studies (IDSIA)
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2020 – today
- 2023
[c11]Vincent Bürgin, Raphael Prevost, Marijn F. Stollenga:
Robust Vertebra Identification Using Simultaneous Node and Edge Predicting Graph Neural Networks. MICCAI (9) 2023: 483-493- [i5]Vincent Bürgin, Raphael Prevost, Marijn F. Stollenga:
Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks. CoRR abs/2308.02509 (2023) - 2022
- [i4]Marijn F. Stollenga:
Embracing Hellman: A Simple Proof-of-Space Search consensus algorithm with stable block times using Logarithmic Embargo. IACR Cryptol. ePrint Arch. 2022: 1354 (2022) - 2021
- [c10]Mert Asim Karaoglu, Nikolas Brasch, Marijn F. Stollenga, Wolfgang Wein, Nassir Navab, Federico Tombari, Alexander Ladikos:
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation. MICCAI (4) 2021: 300-310 - [i3]Mert Asim Karaoglu, Nikolas Brasch, Marijn F. Stollenga, Wolfgang Wein, Nassir Navab, Federico Tombari, Alexander Ladikos:
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation. CoRR abs/2109.11798 (2021)
2010 – 2019
- 2017
- [j3]Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber:
Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots. Artif. Intell. 247: 313-335 (2017) - 2016
- [j2]Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Jürgen Schmidhuber:
Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis. Neural Comput. 28(8): 1599-1662 (2016) - 2015
- [c9]Marijn F. Stollenga, Alan J. Lockett, Jürgen Schmidhuber:
The Natural Gradient as a control signal for a humanoid robot. Humanoids 2015: 187-193 - [c8]Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber:
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. NIPS 2015: 2998-3006 - [i2]Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber:
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. CoRR abs/1506.07452 (2015) - 2014
- [c7]Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber:
Explore to see, learn to perceive, get the actions for free: SKILLABILITY. IJCNN 2014: 2705-2712 - [c6]Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber:
Deep Networks with Internal Selective Attention through Feedback Connections. NIPS 2014: 3545-3553 - [c5]Marijn F. Stollenga, Jürgen Schmidhuber, Faustino J. Gomez:
Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution. SAB 2014: 210-219 - [i1]Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber:
Deep Networks with Internal Selective Attention through Feedback Connections. CoRR abs/1407.3068 (2014) - 2013
- [j1]Mikhail Frank, Jürgen Leitner
, Marijn F. Stollenga, Alexander Förster, Jürgen Schmidhuber:
Curiosity driven reinforcement learning for motion planning on humanoids. Frontiers Neurorobotics 7: 25 (2013) - [c4]Marijn F. Stollenga, Leo Pape, Mikhail Frank, Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber:
Task-relevant roadmaps: A framework for humanoid motion planning. IROS 2013: 5772-5778 - 2012
- [c3]Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Leo Pape, Jürgen Schmidhuber:
Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis. ICDL-EPIROB 2012: 1-8 - [c2]Rupesh Kumar Srivastava, Bas R. Steunebrink, Marijn F. Stollenga, Jürgen Schmidhuber:
Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY. ICDL-EPIROB 2012: 1-6 - [c1]Mikhail Frank, Jürgen Leitner, Marijn F. Stollenga, Simon Harding, Alexander Förster, Jürgen Schmidhuber:
The Modular Behavioral Environment for Humanoids and other Robots (MoBeE). ICINCO (2) 2012: 304-313
Coauthor Index
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