151 citations · 297 across the 20 of their papers we have counts for
3 papers · 1 filter
A High-resolution Large-eddy Simulation Framework for Wildland Fire Predictions using TensorFlow
Qing Wang, Matthias Ihme, Rod R. Linn +6
As the impact of wildfires has become increasingly more severe over the last decades, there is continued pressure for improvements in our ability to predict wildland fire behavior…
Accelerating Physics Simulations with TPUs: An Inundation Modeling Example
Damien Pierce, R. Lily Hu, Yusef Shafi +4
Recent advancements in hardware accelerators such as Tensor Processing Units (TPUs) speed up computation time relative to Central Processing Units (CPUs) not only for machine learn…
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo
Sebastien M. R. Arnold, Pierre L'Ecuyer, Liyu Chen +2
Reinforcement learning constantly deals with hard integrals, for example when computing expectations in policy evaluation and policy iteration. These integrals are rarely analytica…