Millard, David
- NeuralSim: Augmenting Differentiable Simulators with Neural Networks
2020/11/09 by Heiden, Eric, Millard, David, Coumans, Erwin +2 · 10 citations
#FOS: Computer and information sciences #Robotics (cs.RO)
- Domain Adversarial Neural Networks for Dysarthric Speech Recognition
2020/10/07 by Woszczyk, Dominika, Petridis, Stavros, Millard, David · 2 citations
#Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
- Probabilistic Inference of Simulation Parameters via Parallel\n Differentiable Simulation
2021/09/17 by Eric Heiden, Christopher E. Denniston, Heiden, Eric +8 · 2 citations
Computer Science · Physics and Astronomy · Decision Sciences · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Simulation Techniques and Applications
- Interactive Differentiable Simulation
2019/05/26 by Eric Heiden, Heiden, Eric, David Millard +5 · 4 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Simulation Techniques and Applications #Robotic Path Planning Algorithms
- CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning
2023/09/16 by Morgan, Jeremy, Millard, David, Sukhatme, Gaurav S. · 2 citations
#FOS: Computer and information sciences #Robotics (cs.RO)
- Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap
2020/07/12 by Heiden, Eric, Millard, David, Coumans, Erwin +1 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials
2023/06/02 by Millard, David, Pastor, Daniel, Bowkett, Joseph +2 · 1 citation
#FOS: Computer and information sciences #Robotics (cs.RO)