38 citations · 38 across the 2 of their papers we have counts for
2 papers
math.OC2025
Neural networks for multi-horizon stochastic programming
Hongyu Zhang, Gabriele Sormani, Enza Messina +2
This paper proposes a machine-learning-based solution approach for solving multi-horizon stochastic programs. The approach embeds a deep learning neural network into a multi-horizo…
cs.LG2019★ 38 cited
Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling
Jiri Navratil, Alan King, Jesus Rios +3
We develop a proxy model based on deep learning methods to accelerate the simulations of oil reservoirs--by three orders of magnitude--compared to industry-strength physics-based P…