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2020 – today
- 2024
[j20]Jiaqi Chen, Jonas Frey, Ruyi Zhou, Takahiro Miki, Georg Martius, Marco Hutter:
Identifying Terrain Physical Parameters From Vision - Towards Physical-Parameter-Aware Locomotion and Navigation. IEEE Robotics Autom. Lett. 9(11): 9279-9286 (2024)- [c72]Jakob J. Hollenstein, Georg Martius, Justus H. Piater:
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. AAAI 2024: 12466-12472 - [c71]Jhon Charaja, Isabell Wochner, Pierre Schumacher, Winfried Ilg, Martin A. Giese, Christophe Maufroy, Andreas Bulling, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle:
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. BioRob 2024: 562-568 - [c70]Pierre Schumacher, Lorenz Krause, Jan Schneider, Dieter Büchler, Georg Martius, Daniel F. B. Haeufle:
Learning to Control Emulated Muscles in Real Robots: A Software Test Bed for Bio-Inspired Actuators in Hardware. BioRob 2024: 806-813 - [c69]Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz:
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. ICLR 2024 - [c68]Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Jakob Schäfer, Georg Martius, Anna Levina:
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. ICLR 2024 - [c67]Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Schölkopf, Anna Levina:
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. ICLR 2024 - [c66]Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello:
Multi-View Causal Representation Learning with Partial Observability. ICLR 2024 - [c65]Andreas René Geist, Jonas Frey, Mikel Zhobro, Anna Levina, Georg Martius:
Learning with 3D rotations, a hitchhiker's guide to SO(3). ICML 2024 - [c64]Anselm Paulus, Georg Martius, Vít Musil:
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers. ICML 2024 - [c63]Albane Ruaud, Cansu Sancaktar, Marco Bagatella, Christoph Ratzke, Georg Martius:
Modelling Microbial Communities with Graph Neural Networks. ICML 2024 - [c62]Núria Armengol Urpí, Marco Bagatella, Marin Vlastelica, Georg Martius:
Causal Action Influence Aware Counterfactual Data Augmentation. ICML 2024 - [c61]Jin Cheng
, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius:
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality. ICRA 2024: 5083-5089 - [i71]Pierre Schumacher, Lorenz Krause, Jan Schneider, Dieter Büchler, Georg Martius, Daniel F. B. Haeufle:
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology. CoRR abs/2402.05371 (2024) - [i70]Matías Mattamala, Jonas Frey, Piotr Libera, Nived Chebrolu, Georg Martius, Cesar Cadena, Marco Hutter, Maurice F. Fallon:
Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision. CoRR abs/2404.07110 (2024) - [i69]Andreas René Geist, Jonas Frey, Mikel Zobro, Anna Levina, Georg Martius:
Learning with 3D rotations, a hitchhiker's guide to SO(3). CoRR abs/2404.11735 (2024) - [i68]Núria Armengol Urpí, Marco Bagatella, Marin Vlastelica, Georg Martius:
Causal Action Influence Aware Counterfactual Data Augmentation. CoRR abs/2405.18917 (2024) - [i67]Anselm Paulus, Georg Martius, Vít Musil:
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers. CoRR abs/2407.05920 (2024) - [i66]Aniket Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael C. Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer:
Zero-Shot Object-Centric Representation Learning. CoRR abs/2408.09162 (2024) - [i65]Marco Bagatella, Andreas Krause, Georg Martius:
Directed Exploration in Reinforcement Learning from Linear Temporal Logic. CoRR abs/2408.09495 (2024) - [i64]Jiaqi Chen, Jonas Frey, Ruyi Zhou, Takahiro Miki, Georg Martius, Marco Hutter:
Identifying Terrain Physical Parameters from Vision - Towards Physical-Parameter-Aware Locomotion and Navigation. CoRR abs/2408.16567 (2024) - 2023
- [j19]Iris Andrussow, Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius:
Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation. Adv. Intell. Syst. 5(8) (2023) - [j18]Iris Andrussow, Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius:
Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation. Adv. Intell. Syst. 5(8) (2023) - [j17]Hyosang Lee, Huanbo Sun, Hyunkyu Park, Gokhan Serhat, Bernard Javot, Georg Martius, Katherine J. Kuchenbecker:
Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks. IEEE Trans Autom. Sci. Eng. 20(1): 425-439 (2023) - [c60]Onno Eberhard, Jakob J. Hollenstein, Cristina Pinneri, Georg Martius:
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning. ICLR 2023 - [c59]Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius:
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. ICLR 2023 - [c58]Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica, Vít Musil, Volodymyr Kuleshov, Georg Martius:
Backpropagation through Combinatorial Algorithms: Identity with Projection Works. ICLR 2023 - [c57]Pierre Schumacher, Daniel F. B. Haeufle, Dieter Büchler, Syn Schmitt, Georg Martius:
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. ICLR 2023 - [c56]Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius:
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions. ICRA 2023: 2944-2950 - [c55]Núria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros:
Efficient Learning of High Level Plans from Play. ICRA 2023: 10189-10196 - [c54]Marco Bagatella, Georg Martius:
Goal-conditioned Offline Planning from Curious Exploration. NeurIPS 2023 - [c53]Pavel Kolev, Georg Martius, Michael Muehlebach:
Online Learning under Adversarial Nonlinear Constraints. NeurIPS 2023 - [c52]Cansu Sancaktar, Justus H. Piater, Georg Martius:
Regularity as Intrinsic Reward for Free Play. NeurIPS 2023 - [c51]Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius:
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities. NeurIPS 2023 - [i63]Núria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros:
Efficient Learning of High Level Plans from Play. CoRR abs/2303.09628 (2023) - [i62]Sina Khajehabdollahi, Jan Prosi, Georg Martius, Anna Levina:
When to be critical? Performance and evolvability in different regimes of neural Ising agents. CoRR abs/2303.16195 (2023) - [i61]Jannik Thümmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz:
Inductive biases in deep learning models for weather prediction. CoRR abs/2304.04664 (2023) - [i60]Iris Andrussow, Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius:
Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation. CoRR abs/2304.10990 (2023) - [i59]Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge:
Discovering Causal Relations and Equations from Data. CoRR abs/2305.13341 (2023) - [i58]Pavel Kolev, Georg Martius, Michael Muehlebach:
Online Learning under Adversarial Nonlinear Constraints. CoRR abs/2306.03655 (2023) - [i57]Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius:
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities. CoRR abs/2306.04829 (2023) - [i56]Sina Khajehabdollahi, Emmanouil Giannakakis, Victor Buendia, Georg Martius, Anna Levina:
Locally adaptive cellular automata for goal-oriented self-organization. CoRR abs/2306.07067 (2023) - [i55]Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Schölkopf, Anna Levina:
The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks. CoRR abs/2306.16922 (2023) - [i54]Marin Vlastelica, Pavel Kolev, Jin Cheng, Georg Martius:
Diverse Offline Imitation via Fenchel Duality. CoRR abs/2307.11373 (2023) - [i53]Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius:
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. CoRR abs/2307.15690 (2023) - [i52]Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius:
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. CoRR abs/2308.07741 (2023) - [i51]Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano, Vikash Kumar, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle:
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models. CoRR abs/2309.02976 (2023) - [i50]Marin Vlastelica, Sebastian Blaes, Cristina Pinneri, Georg Martius:
Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning. CoRR abs/2309.05582 (2023) - [i49]Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Jakob Schäfer, Georg Martius, Anna Levina:
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. CoRR abs/2309.12927 (2023) - [i48]Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius:
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality. CoRR abs/2310.02440 (2023) - [i47]Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello:
Multi-View Causal Representation Learning with Partial Observability. CoRR abs/2311.04056 (2023) - [i46]Marco Bagatella, Georg Martius:
Goal-conditioned Offline Planning from Curious Exploration. CoRR abs/2311.16996 (2023) - [i45]Cansu Sancaktar, Justus H. Piater, Georg Martius:
Regularity as Intrinsic Reward for Free Play. CoRR abs/2312.01473 (2023) - [i44]Jakob J. Hollenstein, Georg Martius, Justus H. Piater:
Colored Noise in PPO: Improved Exploration and Performance Through Correlated Action Sampling. CoRR abs/2312.11091 (2023) - 2022
- [j16]Sina Khajehabdollahi, Jan Prosi, Emmanouil Giannakakis, Georg Martius, Anna Levina:
When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents. Artif. Life 28(4): 458-478 (2022) - [j15]Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius:
A soft thumb-sized vision-based sensor with accurate all-round force perception. Nat. Mach. Intell. 4(2): 135-145 (2022) - [j14]Huanbo Sun, Georg Martius:
Guiding the design of superresolution tactile skins with taxel value isolines theory. Sci. Robotics 7(63) (2022) - [c50]Chenhao Li, Marin Vlastelica, Sebastian Blaes, Jonas Frey, Felix Grimminger, Georg Martius:
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations. CoRL 2022: 342-352 - [c49]Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle:
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. CoRL 2022: 1178-1188 - [c48]Matthias Werner, Andrej Junginger, Philipp Hennig, Georg Martius:
Uncertainty in equation learning. GECCO Companion 2022: 2298-2305 - [c47]Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz:
Developing hierarchical anticipations via neural network-based event segmentation. ICDL 2022: 1-8 - [c46]Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius:
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. ICLR 2022 - [c45]Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve:
Embrace the Gap: VAEs Perform Independent Mechanism Analysis. NeurIPS 2022 - [c44]Cansu Sancaktar, Sebastian Blaes, Georg Martius:
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation. NeurIPS 2022 - [d1]Patrik Reizinger, Luigi Gresele, Jack Brady, Dominik Zietlow, Julius von Kügelgen, Michel Besserve, Georg Martius, Wieland Brendel, Bernhard Schölkopf:
ima-vae. Zenodo, 2022
- [i43]Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius:
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. CoRR abs/2203.09168 (2022) - [i42]Subham Sekhar Sahoo, Marin Vlastelica, Anselm Paulus, Vít Musil, Volodymyr Kuleshov, Georg Martius:
Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works. CoRR abs/2205.15213 (2022) - [i41]Pierre Schumacher, Daniel F. B. Häufle, Dieter Büchler, Syn Schmitt, Georg Martius:
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. CoRR abs/2206.00484 (2022) - [i40]Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz:
Developing hierarchical anticipations via neural network-based event segmentation. CoRR abs/2206.02042 (2022) - [i39]Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve:
Embrace the Gap: VAEs Perform Independent Mechanism Analysis. CoRR abs/2206.02416 (2022) - [i38]Cansu Sancaktar, Sebastian Blaes, Georg Martius:
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation. CoRR abs/2206.11403 (2022) - [i37]Chenhao Li, Marin Vlastelica, Sebastian Blaes, Jonas Frey, Felix Grimminger, Georg Martius:
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations. CoRR abs/2206.11693 (2022) - [i36]Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle:
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. CoRR abs/2207.03952 (2022) - [i35]Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius:
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions. CoRR abs/2209.07899 (2022) - 2021
- [j13]Alina Kloss, Georg Martius, Jeannette Bohg:
How to train your differentiable filter. Auton. Robots 45(4): 561-578 (2021) - [j12]Carlos Gershenson, Daniel Polani, Georg Martius:
Editorial: Complexity and Self-Organization. Frontiers Robotics AI 8: 668305 (2021) - [j11]Christian Landgraf, Bernd Meese, Michael Pabst, Georg Martius, Marco F. Huber:
A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks. Sensors 21(6): 2030 (2021) - [j10]Christian Gumbsch, Martin V. Butz, Georg Martius:
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. IEEE Trans. Cogn. Dev. Syst. 13(2): 298-311 (2021) - [c43]Andrii Zadaianchuk, Georg Martius, Fanny Yang:
Self-supervised Reinforcement Learning with Independently Controllable Subgoals. CoRL 2021: 384-394 - [c42]Marin Vlastelica P., Sebastian Blaes, Cristina Pinneri, Georg Martius:
Risk-Averse Zero-Order Trajectory Optimization. CoRL 2021: 444-454 - [c41]Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Georg Martius:
Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers. ICLR 2021 - [c40]Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius:
Self-supervised Visual Reinforcement Learning with Object-centric Representations. ICLR 2021 - [c39]Anselm Paulus, Michal Rolínek, Vít Musil, Brandon Amos, Georg Martius:
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints. ICML 2021: 8443-8453 - [c38]Marin Vlastelica P., Michal Rolínek, Georg Martius:
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization. ICML 2021: 10575-10585 - [c37]Dominik Zietlow, Michal Rolínek, Georg Martius:
Demystifying Inductive Biases for (Beta-)VAE Based Architectures. ICML 2021: 12945-12954 - [c36]Jan Prosi, Sina Khajehabdollahi, Emmanouil Giannakakis, Georg Martius, Anna Levina:
The dynamical regime and its importance for evolvability, task performance and generalization. ALIFE 2021: 79 - [c35]Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius:
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. NeurIPS (Competition and Demos) 2021: 133-150 - [c34]Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar:
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) 2021: 233-250 - [c33]Christian Gumbsch, Martin V. Butz, Georg Martius:
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. NeurIPS 2021: 17518-17531 - [c32]Nico Gürtler, Dieter Büchler, Georg Martius:
Hierarchical Reinforcement Learning with Timed Subgoals. NeurIPS 2021: 21732-21743 - [c31]Maximilian Seitzer, Bernhard Schölkopf, Georg Martius:
Causal Influence Detection for Improving Efficiency in Reinforcement Learning. NeurIPS 2021: 22905-22918 - [c30]Marco Bagatella, Miroslav Olsák, Michal Rolínek, Georg Martius:
Planning from Pixels in Environments with Combinatorially Hard Search Spaces. NeurIPS 2021: 24707-24718 - [i34]Dominik Zietlow, Michal Rolínek, Georg Martius:
Demystifying Inductive Biases for β-VAE Based Architectures. CoRR abs/2102.06822 (2021) - [i33]Marin Vlastelica Pogancic, Michal Rolínek, Georg Martius:
Neuro-algorithmic Policies enable Fast Combinatorial Generalization. CoRR abs/2102.07456 (2021) - [i32]Jan Prosi, Sina Khajehabdollahi, Emmanouil Giannakakis, Georg Martius, Anna Levina:
The dynamical regime and its importance for evolvability, task performance and generalization. CoRR abs/2103.12184 (2021) - [i31]Anselm Paulus, Michal Rolínek, Vít Musil, Brandon Amos, Georg Martius:
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints. CoRR abs/2105.02343 (2021) - [i30]Matthias Werner, Andrej Junginger, Philipp Hennig, Georg Martius:
Informed Equation Learning. CoRR abs/2105.06331 (2021) - [i29]Sina Khajehabdollahi, Georg Martius, Anna Levina:
Assessing aesthetics of generated abstract images using correlation structure. CoRR abs/2105.08635 (2021) - [i28]Huanbo Sun, Georg Martius:
Theory of Geometric Super-resolution for Haptic Sensor Design. CoRR abs/2105.11914 (2021) - [i27]Maximilian Seitzer, Bernhard Schölkopf, Georg Martius:
Causal Influence Detection for Improving Efficiency in Reinforcement Learning. CoRR abs/2106.03443 (2021) - [i26]Andrii Zadaianchuk, Georg Martius, Fanny Yang:
Self-supervised Reinforcement Learning with Independently Controllable Subgoals. CoRR abs/2109.04150 (2021) - [i25]Marco Bagatella, Mirek Olsák, Michal Rolínek, Georg Martius:
Planning from Pixels in Environments with Combinatorially Hard Search Spaces. CoRR abs/2110.06149 (2021) - [i24]Christian Gumbsch, Martin V. Butz, Georg Martius:
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. CoRR abs/2110.15949 (2021) - [i23]Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius:
A soft thumb-sized vision-based sensor with accurate all-round force perception. CoRR abs/2111.05934 (2021) - [i22]Nico Gürtler, Dieter Büchler, Georg Martius:
Hierarchical Reinforcement Learning with Timed Subgoals. CoRR abs/2112.03100 (2021) - 2020
- [c29]Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolínek, Georg Martius:
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRL 2020: 1049-1065 - [c28]Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica P., Claudio Michaelis, Georg Martius:
Optimizing Rank-Based Metrics With Blackbox Differentiation. CVPR 2020: 7617-7627 - [c27]Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius:
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. ECCV (28) 2020: 407-424 - [c26]Marin Vlastelica Pogancic, Anselm Paulus, Vít Musil, Georg Martius, Michal Rolínek:
Differentiation of Blackbox Combinatorial Solvers. ICLR 2020 - [c25]Diego Agudelo-España, Andrii Zadaianchuk, Philippe Wenk, Aditya Garg, Joel Akpo, Felix Grimminger, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Georg Martius, Andreas Krause, Bernhard Schölkopf, Stefan Bauer, Manuel Wüthrich:
A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models. ICRA 2020: 8151-8157 - [i21]Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius:
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. CoRR abs/2003.11657 (2020) - [i20]Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Jörg Stückler, Michal Rolínek, Georg Martius:
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRR abs/2008.06389 (2020) - [i19]Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius:
Self-supervised Visual Reinforcement Learning with Object-centric Representations. CoRR abs/2011.14381 (2020) - [i18]Alina Kloss, Georg Martius, Jeannette Bohg:
How to Train Your Differentiable Filter. CoRR abs/2012.14313 (2020)
2010 – 2019
- 2019
- [j9]Huanbo Sun, Georg Martius:
Machine Learning for Haptics: Inferring Multi-Contact Stimulation From Sparse Sensor Configuration. Frontiers Neurorobotics 13: 51 (2019) - [c24]Michal Rolínek, Dominik Zietlow, Georg Martius:
Variational Autoencoders Pursue PCA Directions (by Accident). CVPR 2019: 12406-12415 - [c23]Sergiy Bogomolov, Goran Frehse, Amit Gurung, Dongxu Li, Georg Martius, Rajarshi Ray:
Falsification of hybrid systems using symbolic reachability and trajectory splicing. HSCC 2019: 1-10 - [c22]Sebastian Blaes, Marin Vlastelica Pogancic, Jia-Jie Zhu, Georg Martius:
Control What You Can: Intrinsically Motivated Task-Planning Agent. NeurIPS 2019: 12520-12531 - [c21]Sina Khajehabdollahi, Georg Martius, Anna Levina:
Assessing Aesthetics of Generated Abstract Images Using Correlation Structure. SSCI 2019: 306-313 - [i17]Huanbo Sun, Georg Martius:
Robust Affordable 3D Haptic Sensation via Learning Deformation Patterns. CoRR abs/1902.09241 (2019) - [i16]Christian Gumbsch, Martin V. Butz, Georg Martius:
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. CoRR abs/1902.09948 (2019) - [i15]Sebastian Blaes, Marin Vlastelica Pogancic, Jia-Jie Zhu, Georg Martius:
Control What You Can: Intrinsically Motivated Task-Planning Agent. CoRR abs/1906.08190 (2019) - [i14]Shang-Chun Lin, Georg Martius, Martin Oettel:
Analytical classical density functionals from an equation learning network. CoRR abs/1910.12752 (2019) - [i13]Jia-Jie Zhu, Georg Martius:
Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control. CoRR abs/1911.09214 (2019) - [i12]Marin Vlastelica P., Anselm Paulus, Vít Musil, Georg Martius, Michal Rolínek:
Differentiation of Blackbox Combinatorial Solvers. CoRR abs/1912.02175 (2019) - [i11]Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica P., Claudio Michaelis, Georg Martius:
Optimizing Rank-based Metrics with Blackbox Differentiation. CoRR abs/1912.03500 (2019) - 2018
- [j8]Vicente Botella-Soler, Stéphane Deny, Georg Martius, Olivier Marre, Gasper Tkacik:
Nonlinear decoding of a complex movie from the mammalian retina. PLoS Comput. Biol. 14(5) (2018) - [c20]Dominik Baumann, Sebastian Trimpe, Jia-Jie Zhu, Georg Martius:
Deep Reinforcement Learning for Event-Triggered Control. CDC 2018: 943-950 - [c19]Huanbo Sun, Georg Martius:
Robust Affordable 3D Haptic Sensation via Learning Deformation Patterns. Humanoids 2018: 846-853 - [c18]Subham S. Sahoo, Christoph H. Lampert, Georg Martius:
Learning Equations for Extrapolation and Control. ICML 2018: 4439-4447 - [c17]Cristina Pinneri, Georg Martius:
Systematic self-exploration of behaviors for robots in a dynamical systems framework. ALIFE 2018: 319-326 - [c16]Michal Rolínek, Georg Martius:
L4: Practical loss-based stepsize adaptation for deep learning. NeurIPS 2018: 6434-6444 - [i10]Michal Rolínek, Georg Martius:
L4: Practical loss-based stepsize adaptation for deep learning. CoRR abs/1802.05074 (2018) - [i9]Subham S. Sahoo, Christoph H. Lampert, Georg Martius:
Learning Equations for Extrapolation and Control. CoRR abs/1806.07259 (2018) - [i8]Dominik Baumann, Jia-Jie Zhu, Georg Martius, Sebastian Trimpe:
Deep Reinforcement Learning for Event-Triggered Control. CoRR abs/1809.05152 (2018) - [i7]Michal Rolínek, Dominik Zietlow, Georg Martius:
Variational Autoencoders Pursue PCA Directions (by Accident). CoRR abs/1812.06775 (2018) - 2017
- [j7]Ralf Der, Georg Martius:
Self-Organized Behavior Generation for Musculoskeletal Robots. Frontiers Neurorobotics 11: 8 (2017) - [c15]Georg Martius, Christoph H. Lampert:
Extrapolation and learning equations. ICLR (Workshop) 2017 - 2016
- [c14]Ralf Der, Alois C. Knoll, Rafael Hostettler, Georg Martius:
Self-organized control of an tendon driven arm by differential extrinsic plasticity. ALIFE 2016: 142-143 - [c13]Ralf Der, Georg Martius:
Dynamical self-consistency leads to behavioral development and emergent social interactions in robots. ICDL-EPIROB 2016: 49-56 - [c12]Georg Martius, Rafael Hostettler, Alois C. Knoll, Ralf Der:
Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm. IROS 2016: 767-773 - [i6]Ralf Der, Georg Martius:
The world as its own best controller: a case study with anthropomimetic robots. CoRR abs/1602.02990 (2016) - [i5]Georg Martius, Christoph H. Lampert:
Extrapolation and learning equations. CoRR abs/1610.02995 (2016) - 2015
- [j6]Georg Martius, Eckehard Olbrich:
Quantifying Emergent Behavior of Autonomous Robots. Entropy 17(10): 7266-7297 (2015) - [j5]Ralf Der, Georg Martius:
Novel plasticity rule can explain the development of sensorimotor intelligence. Proc. Natl. Acad. Sci. USA 112(45): E6224-E6232 (2015) - [c11]Georg Martius, Eckehard Olbrich:
Quantifying Self-Organizing Behavior of Autonomous Robots. ECAL 2015: 78 - [i4]Ralf Der, Georg Martius:
A novel plasticity rule can explain the development of sensorimotor intelligence. CoRR abs/1505.00835 (2015) - [i3]Georg Martius, Eckehard Olbrich:
Quantifying Emergent Behavior of Autonomous Robots. CoRR abs/1510.01495 (2015) - 2014
- [c10]Georg Martius, Luisa Jahn, Helmut Hauser, Verena V. Hafner:
Self-exploration of the Stumpy Robot with Predictive Information Maximization. SAB 2014: 32-42 - 2013
- [j4]Georg Martius:
Robustness of Guided Self-Organization against Sensorimotor disruptions. Adv. Complex Syst. 16(2-3) (2013) - [c9]Ralf Der, Georg Martius:
Behavior as broken symmetry in embodied self-organizing robots. ECAL 2013: 601-608 - [i2]Georg Martius, Ralf Der, Nihat Ay:
Information driven self-organization of complex robotic behaviors. CoRR abs/1301.7473 (2013) - [i1]Keyan Zahedi, Georg Martius, Nihat Ay:
Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis. CoRR abs/1309.6989 (2013) - 2012
- [b1]Ralf Der, Georg Martius:
The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots. Cognitive Systems Monographs 15, Springer 2012, ISBN 978-3-642-20252-0, pp. 1-312 - [j3]Georg Martius, J. Michael Herrmann:
Variants of guided self-organization for robot control. Theory Biosci. 131(3): 129-137 (2012) - 2011
- [c8]Georg Martius, J. Michael Herrmann:
Tipping the scales: guidance and intrinsically motivated behavior. ECAL 2011: 506-513 - 2010
- [c7]Georg Martius, J. Michael Herrmann:
Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots. SAB 2010: 50-61
2000 – 2009
- 2009
- [j2]Frank Hesse, Georg Martius, Ralf Der, J. Michael Herrmann:
A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior. Algorithms 2(1): 398-409 (2009) - [c6]Todd Ingalls, Georg Martius, Manja Marz, Sonja J. Proshaka, Marc Hellmuth:
Converting DNA to Music: ComposAlign. GCB 2009: 93-103 - 2008
- [c5]Georg Martius, Katja Fiedler, J. Michael Herrmann:
Structure from behavior in autonomous agents. IROS 2008: 858-862 - [c4]Georg Martius, Stefano Nolfi, J. Michael Herrmann:
Emergence of Interaction among Adaptive Agents. SAB 2008: 457-466 - 2007
- [c3]Georg Martius, J. Michael Herrmann, Ralf Der:
Guided Self-organisation for Autonomous Robot Development. ECAL 2007: 766-775 - 2006
- [j1]Ralf Der, Frank Hesse, Georg Martius:
Rocking Stamper and Jumping Snakes from a Dynamical Systems Approach to Artificial Life. Adapt. Behav. 14(2): 105-115 (2006) - [c2]Ralf Der, Georg Martius:
From Motor Babbling to Purposive Actions: Emerging Self-exploration in a Dynamical Systems Approach to Early Robot Development. SAB 2006: 406-421 - 2005
- [c1]Ralf Der, Frank Hesse, Georg Martius:
Learning to feel the physics of a body. CIMCA/IAWTIC 2005: 252-257
Coauthor Index
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