Sebastian Herzog
Orcid: 0000-0001-6527-5396
According to our database1,
Sebastian Herzog
authored at least 16 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
J. Comput. Phys., 2024
2022
Finding Optimal Paths Using Networks Without Learning - Unifying Classical Approaches.
IEEE Trans. Neural Networks Learn. Syst., 2022
Application of neural ordinary differential equations to the prediction of multi-agent systems.
Artif. Life Robotics, 2022
2021
Data-driven modelling of non-linear systems by means of artificial neural network hybrids.
PhD thesis, 2021
A Probabilistic Particle Tracking Framework for Guided and Brownian Motion Systems with High Particle Densities.
SN Comput. Sci., 2021
2020
One-Shot Multi-Path Planning Using Fully Convolutional Networks in a Comparison to Other Algorithms.
Frontiers Neurorobotics, 2020
Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders.
Frontiers Appl. Math. Stat., 2020
One-shot path planning for multi-agent systems using fully convolutional neural network.
CoRR, 2020
One-Shot Multi-Path Planning for Robotic Applications Using Fully Convolutional Networks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2018
Data-Driven Modeling and Prediction of Complex Spatio-Temporal Dynamics in Excitable Media.
Frontiers Appl. Math. Stat., 2018
2017
Robotics Auton. Syst., 2017
CoRR, 2017
2016
Optimal trajectory generation for generalization of discrete movements with boundary conditions.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
2014
Quantum Coupled Mutation Finder: Predicting functionally or structurally important sites in proteins using quantum Jensen-Shannon divergence and CUDA programming.
BMC Bioinform., 2014