David A. W. Barton
Orcid: 0000-0002-0595-4239
According to our database1,
David A. W. Barton
authored at least 20 papers
between 2009 and 2024.
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Bibliography
2024
Robotics Auton. Syst., 2024
Extending Contextual Self-Modulation: Meta-Learning Across Modalities, Task Dimensionalities, and Data Regimes.
CoRR, 2024
Iterative method for real-time Hybrid testing: application to a cantilever beam with two interface degrees of freedom.
CoRR, 2024
CoRR, 2024
2023
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing.
IEEE Robotics Autom. Lett., September, 2023
A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
2022
Modelling of physical systems with a Hopf bifurcation using mechanistic models and machine learning.
CoRR, 2022
Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation.
CoRR, 2022
2021
Using scientific machine learning for experimental bifurcation analysis of dynamic systems.
CoRR, 2021
2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Learning to Live Life on the Edge: Online Learning for Data-Efficient Tactile Contour Following.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
Experimental Tracking of Limit-Point Bifurcations and Backbone Curves Using Control-Based Continuation.
Int. J. Bifurc. Chaos, 2017
2016
Proceedings of the Biomimetic and Biohybrid Systems - 5th International Conference, 2016
2010
A method for detecting false bifurcations in dynamical systems: application to neural-field models.
Biol. Cybern., 2010
2009
Transitions to spike-wave oscillations and epileptic dynamics in a human cortico-thalamic mean-field model.
J. Comput. Neurosci., 2009
Int. J. Bifurc. Chaos, 2009