Malte Schilling
Orcid: 0000-0002-0849-483XAffiliations:
- Bielefeld University, CITEC, Germany
- University of California, Berkeley, International Computer Science Institute, CA, USA
According to our database1,
Malte Schilling
authored at least 61 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
Modularity in Nervous Systems - a Key to Efficient Adaptivity for Deep Reinforcement Learning.
Cogn. Comput., September, 2024
Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course.
CoRR, 2024
2023
neuroWalknet, a controller for hexapod walking allowing for context dependent behavior.
PLoS Comput. Biol., January, 2023
ABC-GAN: Spatially Constrained Counterfactual Generation for Image Classification Explanations.
Proceedings of the Explainable Artificial Intelligence, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
From Adaptive Locomotion to Predictive Action Selection - Cognitive Control for a Six-Legged Walker.
IEEE Trans. Robotics, 2022
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Robotics in Natural Settings, 2022
2021
Decentralization and Hierarchical Organization for Control of Adaptive and Cognitive Behavior in Autonomous Robots
PhD thesis, 2021
Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning.
Neural Networks, 2021
Evaluation of Graph Convolutions for Spatio-Temporal Predictions of EV-Charge Availability.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the Optimization and Learning - 4th International Conference, 2021
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Avoid Overfitting in Deep Reinforcement Learning: Increasing Robustness Through Decentralized Control.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Guest Editorial Special Issue on Multidisciplinary Perspectives on Mechanisms of Language Learning.
IEEE Trans. Cogn. Dev. Syst., 2020
Decentralized control of insect walking: A simple neural network explains a wide range of behavioral and neurophysiological results.
PLoS Comput. Biol., 2020
Frontiers Artif. Intell., 2020
Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
2019
Frontiers Neurorobotics, 2019
Frontiers Neurorobotics, 2019
A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing.
CoRR, 2019
From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning - Insights from Biological Systems on Adaptive Flexibility.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Hierarchical Dual Quaternion-Based Recurrent Neural Network as a Flexible Internal Body Model.
Proceedings of the International Joint Conference on Neural Networks, 2019
Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Transfer of Spatial Contact Information Among Limbs and the Notion of Peripersonal Space in Insects.
Frontiers Comput. Neurosci., 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.
CoRR, 2018
2017
Frontiers Neurorobotics, 2017
2016
Stick(y) Insects - Evaluation of Static Stability for Bio-inspired Leg Coordination in Robotics.
Proceedings of the Biomimetic and Biohybrid Systems - 5th International Conference, 2016
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
Lose a Leg but not Your Head - A Cognitive Extension of a Biologically-inspired Walking Architecture.
Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016
2015
Population based Mean of Multiple Computations networks: A building block for kinematic models.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Obstacle crossing of a real, compliant robot based on local evasion movements and averaging of stance heights using singular value decomposition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
2014
Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014
Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014
2013
Frontiers Comput. Neurosci., 2013
Proceedings of the Designing Intelligent Robots: Reintegrating AI II, 2013
2012
Grounding an internal body model of a hexapod walker control of curve walking in a biologically inspired robot.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Flexible internal body models for motor control: On the convergence of constrained dual quaternion mean of multiple computation networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Grounded Internal Body Models for Communication: Integration of Sensory and Motor Spaces for Mediating Conceptualization.
Proceedings of the Language Grounding in Robots, 2012
2011
Universally manipulable body models - dual quaternion representations in layered and dynamic MMCs.
Auton. Robots, 2011
Integrating multi-sensory input in the body model - A RNN approach to connect visual features and motor control.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Learning by seeing - associative learning of visual features through mental simulation of observed action.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
2010
A universally manipulable body model: Application of the MMC principle to a dual quaternion representation.
Proceedings of the International Joint Conference on Neural Networks, 2010
Learning and retrieval of hierarchically organized information in a simple, one-layered RNN.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, 2009
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, 2009
2008
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
2007
Hexapod Walking: an expansion to Walknet dealing with leg amputations and force oscillations.
Biol. Cybern., 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Proceedings of the Modeling Communication with Robots and Virtual Humans, 2006
2005
Automatic Data Exchange and Synchronization for Knowledge-Based Intelligent Virtual Environments.
Proceedings of the IEEE Virtual Reality Conference 2005, 2005
2003
Incorporating VR Databases into AI Knowledge Representations: A Framework for Intelligent Graphics Applications.
Proceedings of the Sixth IASTED International Conference on Computer Graphics and Imaging, 2003