Georg Martius

Orcid: 0000-0002-8963-7627

According to our database1, Georg Martius authored at least 102 papers between 2005 and 2024.

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Bibliography

2024
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology.
CoRR, 2024

Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation.
Adv. Intell. Syst., August, 2023

Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks.
IEEE Trans Autom. Sci. Eng., 2023

Multi-View Causal Representation Learning with Partial Observability.
CoRR, 2023

Learning Diverse Skills for Local Navigation under Multi-constraint Optimality.
CoRR, 2023

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks.
CoRR, 2023

Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning.
CoRR, 2023

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models.
CoRR, 2023

Diverse Offline Imitation via Fenchel Duality.
CoRR, 2023

The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks.
CoRR, 2023

Locally adaptive cellular automata for goal-oriented self-organization.
CoRR, 2023

Discovering Causal Relations and Equations from Data.
CoRR, 2023

Inductive biases in deep learning models for weather prediction.
CoRR, 2023

When to be critical? Performance and evolvability in different regimes of neural Ising agents.
CoRR, 2023

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Regularity as Intrinsic Reward for Free Play.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Learning under Adversarial Nonlinear Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Goal-conditioned Offline Planning from Curious Exploration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Learning of High Level Plans from Play.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Backpropagation through Combinatorial Algorithms: Identity with Projection Works.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Benchmarking Offline Reinforcement Learning on Real-Robot Hardware.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Guiding the design of superresolution tactile skins with taxel value isolines theory.
Sci. Robotics, 2022

A soft thumb-sized vision-based sensor with accurate all-round force perception.
Nat. Mach. Intell., 2022

Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works.
CoRR, 2022

When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents.
Artif. Life, 2022

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Embrace the Gap: VAEs Perform Independent Mechanism Analysis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Developing hierarchical anticipations via neural network-based event segmentation.
Proceedings of the IEEE International Conference on Development and Learning, 2022

Uncertainty in equation learning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks.
Proceedings of the Conference on Robot Learning, 2022

Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations.
Proceedings of the Conference on Robot Learning, 2022

2021
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives.
IEEE Trans. Cogn. Dev. Syst., 2021

A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks.
Sensors, 2021

Editorial: Complexity and Self-Organization.
Frontiers Robotics AI, 2021

Theory of Geometric Super-resolution for Haptic Sensor Design.
CoRR, 2021

Informed Equation Learning.
CoRR, 2021

Demystifying Inductive Biases for β-VAE Based Architectures.
CoRR, 2021

How to train your differentiable filter.
Auton. Robots, 2021

Causal Influence Detection for Improving Efficiency in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


Hierarchical Reinforcement Learning with Timed Subgoals.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


Planning from Pixels in Environments with Combinatorially Hard Search Spaces.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The dynamical regime and its importance for evolvability, task performance and generalization.
Proceedings of the 2021 Conference on Artificial Life, 2021

Demystifying Inductive Biases for (Beta-)VAE Based Architectures.
Proceedings of the 38th International Conference on Machine Learning, 2021

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints.
Proceedings of the 38th International Conference on Machine Learning, 2021

Neuro-algorithmic Policies Enable Fast Combinatorial Generalization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Self-supervised Visual Reinforcement Learning with Object-centric Representations.
Proceedings of the 9th International Conference on Learning Representations, 2021

Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers.
Proceedings of the 9th International Conference on Learning Representations, 2021

Self-supervised Reinforcement Learning with Independently Controllable Subgoals.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Risk-Averse Zero-Order Trajectory Optimization.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Differentiation of Blackbox Combinatorial Solvers.
Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers.
Proceedings of the Computer Vision - ECCV 2020, 2020

Optimizing Rank-Based Metrics With Blackbox Differentiation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sample-efficient Cross-Entropy Method for Real-time Planning.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Machine Learning for Haptics: Inferring Multi-Contact Stimulation From Sparse Sensor Configuration.
Frontiers Neurorobotics, 2019

Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control.
CoRR, 2019

Analytical classical density functionals from an equation learning network.
CoRR, 2019

Assessing Aesthetics of Generated Abstract Images Using Correlation Structure.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Control What You Can: Intrinsically Motivated Task-Planning Agent.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Falsification of hybrid systems using symbolic reachability and trajectory splicing.
Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, 2019

Variational Autoencoders Pursue PCA Directions (by Accident).
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Nonlinear decoding of a complex movie from the mammalian retina.
PLoS Comput. Biol., 2018

L4: Practical loss-based stepsize adaptation for deep learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Systematic self-exploration of behaviors for robots in a dynamical systems framework.
Proceedings of the 2018 Conference on Artificial Life, 2018

Learning Equations for Extrapolation and Control.
Proceedings of the 35th International Conference on Machine Learning, 2018

Robust Affordable 3D Haptic Sensation via Learning Deformation Patterns.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Deep Reinforcement Learning for Event-Triggered Control.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Self-Organized Behavior Generation for Musculoskeletal Robots.
Frontiers Neurorobotics, 2017

Extrapolation and learning equations.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
The world as its own best controller: a case study with anthropomimetic robots.
CoRR, 2016

Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Dynamical self-consistency leads to behavioral development and emergent social interactions in robots.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Self-organized control of an tendon driven arm by differential extrinsic plasticity.
Proceedings of the Fifteenth International Conference on the Simulation and Synthesis of Living Systems, 2016

2015
Novel plasticity rule can explain the development of sensorimotor intelligence.
Proc. Natl. Acad. Sci. USA, 2015

Quantifying Emergent Behavior of Autonomous Robots.
Entropy, 2015

Quantifying Self-Organizing Behavior of Autonomous Robots.
Proceedings of the Thirteenth European Conference Artificial Life, 2015

2014
Self-exploration of the Stumpy Robot with Predictive Information Maximization.
Proceedings of the From Animals to Animats 13, 2014

2013
Information driven self-organization of complex robotic behaviors
CoRR, 2013

Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis.
CoRR, 2013

Robustness of Guided Self-Organization against Sensorimotor disruptions.
Adv. Complex Syst., 2013

Behavior as broken symmetry in embodied self-organizing robots.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

2012
The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots.
Cognitive Systems Monographs 15, Springer, ISBN: 978-3-642-20253-7, 2012

Variants of guided self-organization for robot control.
Theory Biosci., 2012

2011
Tipping the scales: guidance and intrinsically motivated behavior.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

2010
Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots.
Proceedings of the From Animals to Animats 11, 2010

2009
A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior.
Algorithms, 2009

Converting DNA to Music: ComposAlign.
Proceedings of the German Conference on Bioinformatics 2009, 2009

2008
Emergence of Interaction among Adaptive Agents.
Proceedings of the From Animals to Animats 10, 2008

Structure from behavior in autonomous agents.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

2007
Guided Self-organisation for Autonomous Robot Development.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

2006
Rocking Stamper and Jumping Snakes from a Dynamical Systems Approach to Artificial Life.
Adapt. Behav., 2006

From Motor Babbling to Purposive Actions: Emerging Self-exploration in a Dynamical Systems Approach to Early Robot Development.
Proceedings of the From Animals to Animats 9, 2006

2005
Learning to feel the physics of a body.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005


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