David A. W. Barton

1. Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
   2023/07/26 by Max Yang, Yijiong Lin, Yang, Max +11 · 5 citations
   Engineering · Neuroscience · #Advanced Sensor and Energy Harvesting Materials #FOS: Computer and information sciences #Robot Manipulation and Learning #Robotics (cs.RO) #Tactile and Sensory Interactions
2. Neural Context Flows for Meta-Learning of Dynamical Systems
   2024/05/03 by Roussel Desmond Nzoyem, David A. W. Barton, Nzoyem, Roussel Desmond +3 · 3 citations
   Computer Science · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
3. Using scientific machine learning for experimental bifurcation analysis of dynamic systems
   2021/10/22 by Sándor Beregi, Beregi, Sandor, David A. W. Barton +5 · 1 citation
   Engineering · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Turbomachinery Performance and Optimization
4. Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing
   2024/11/07 by Shannon, Andrew, Conor Houghton, David A. W. Barton +4 · 1 citation
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.6 #I.6.3 #I.6.5 #J.2 #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Nonlinear Dynamics and Pattern Formation #Systems and Control (eess.SY) #electronic engineering #information engineering