Malte Schilling

Orcid: 0000-0002-0849-483X

Affiliations:
  • Bielefeld University, CITEC, Germany
  • University of California, Berkeley, International Computer Science Institute, CA, USA


According to our database1, Malte Schilling authored at least 58 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Graph Learning by Dynamic Sampling.
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

A Graph-based U-Net Model for Predicting Traffic in unseen Cities.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptation of a Decentralized Controller to Curve Walking in a Hexapod Robot.
Proceedings of the Robotics in Natural Settings, 2022

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

Evaluating Robustness of Counterfactual Explanations.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Guiding Representation Learning in Deep Generative Models with Policy Gradients.
Proceedings of the Optimization and Learning - 4th International Conference, 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

Deep Learning for Understanding Satellite Imagery: An Experimental Survey.
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

Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2019
Editorial: Shared Autonomy - Learning of Joint Action and Human-Robot Collaboration.
Frontiers Neurorobotics, 2019

Integrative Biomimetics of Autonomous Hexapedal Locomotion.
Frontiers Neurorobotics, 2019

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing.
CoRR, 2019

Modularization of End-to-End Learning: Case Study in Arcade Games.
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
ReaCog, a Minimal Cognitive Controller Based on Recruitment of Reactive Systems.
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

Preschoolers' engagement in social interaction with an autonomous robotic system.
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

Towards A Multidimensional Perspective on Shared Autonomy.
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
HECTOR, A Bio-Inspired and Compliant Hexapod Robot.
Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014

Action Selection within Short Time Windows.
Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014

2013
A hexapod walker using a heterarchical architecture for action selection.
Frontiers Comput. Neurosci., 2013

Walknet, a bio-inspired controller for hexapod walking.
Biol. Cybern., 2013

Communicating with Executable Action Representations.
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

From egocentric systems to systems allowing for Theory of Mind and mutualism.
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
A Bottom-Up Approach for Cognitive Control.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, 2009

Principles of Insect Locomotion.
Proceedings of the Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, 2009

2008
Local control mechanisms in six-legged walking.
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

Hierarchical MMC Networks as a manipulable body model.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
The Evolution of Cognition - From First Order to Second Order Embodiment.
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


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