Georg Martius
Georg Martius
University of Tübingen and Max Planck Institute for Intelligent Systems
Verified email at - Homepage
Cited by
Cited by
Differentiation of blackbox combinatorial solvers
MV Pogančić, A Paulus, V Musil, G Martius, M Rolinek
International Conference on Learning Representations, 2019
Learning equations for extrapolation and control
S Sahoo, C Lampert, G Martius
International Conference on Machine Learning, 4442-4450, 2018
Extrapolation and learning equations
G Martius, CH Lampert
arXiv preprint arXiv:1610.02995, 2016
Variational autoencoders pursue pca directions (by accident)
M Rolinek, D Zietlow, G Martius
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
The playful machine: theoretical foundation and practical realization of self-organizing robots
R Der, G Martius
Springer Science & Business Media, 2012
Deep graph matching via blackbox differentiation of combinatorial solvers
M Rolínek, P Swoboda, D Zietlow, A Paulus, V Musil, G Martius
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
A soft thumb-sized vision-based sensor with accurate all-round force perception
H Sun, KJ Kuchenbecker, G Martius
Nature Machine Intelligence 4 (2), 135-145, 2022
Information driven self-organization of complex robotic behaviors
G Martius, R Der, N Ay
PloS one 8 (5), e63400, 2013
Optimizing rank-based metrics with blackbox differentiation
M Rolínek, V Musil, A Paulus, M Vlastelica, C Michaelis, G Martius
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Sample-efficient cross-entropy method for real-time planning
C Pinneri, S Sawant, S Blaes, J Achterhold, J Stueckler, M Rolinek, ...
Conference on Robot Learning, 1049-1065, 2021
On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks
M Seitzer, A Tavakoli, D Antic, G Martius
arXiv preprint arXiv:2203.09168, 2022
L4: Practical loss-based stepsize adaptation for deep learning
M Rolinek, G Martius
Advances in Neural Information Processing Systems, 6433-6443, 2018
Deep reinforcement learning for event-triggered control
D Baumann, JJ Zhu, G Martius, S Trimpe
2018 IEEE Conference on Decision and Control (CDC), 943-950, 2018
Comboptnet: Fit the right np-hard problem by learning integer programming constraints
A Paulus, M Rolínek, V Musil, B Amos, G Martius
International Conference on Machine Learning, 8443-8453, 2021
Causal influence detection for improving efficiency in reinforcement learning
M Seitzer, B Schölkopf, G Martius
Advances in Neural Information Processing Systems 34, 22905-22918, 2021
How to train your differentiable filter
A Kloss, G Martius, J Bohg
Autonomous Robots 45 (4), 561-578, 2021
Guided self-organisation for autonomous robot development
G Martius, JM Herrmann, R Der
Advances in Artificial Life: 9th European Conference, ECAL 2007, Lisbon …, 2007
Rocking stamper and jumping snakes from a dynamical systems approach to artificial life
R Der, F Hesse, G Martius
Adaptive Behavior 14 (2), 105-115, 2006
From motor babbling to purposive actions: Emerging self-exploration in a dynamical systems approach to early robot development
R Der, G Martius
International Conference on Simulation of Adaptive Behavior, 406-421, 2006
Nonlinear decoding of a complex movie from the mammalian retina
V Botella-Soler, S Deny, G Martius, O Marre, G Tkačik
PLoS computational biology 14 (5), e1006057, 2018
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