138 citations · 324 across the 6 of their papers we have counts for
3 papers · 1 filter
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer +3
Data I/O poses a significant bottleneck in large-scale CFD simulations; thus, practitioners would like to significantly reduce the number of times the solution is saved to disk, ye…
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Jeremy Morton, Freddie D. Witherden, Antony Jameson +1
The design of flow control systems remains a challenge due to the nonlinear nature of the equations that govern fluid flow. However, recent advances in computational fluid dynamics…
Multi-Agent Imitation Learning for Driving Simulation
Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe +3
Simulation is an appealing option for validating the safety of autonomous vehicles. Generative Adversarial Imitation Learning (GAIL) has recently been shown to learn representative…