2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Theory-Guided Machine Learning for Process Simulation of Advanced Composites
Navid Zobeiry, Anoush Poursartip
Science-based simulation tools such as Finite Element (FE) models are routinely used in scientific and engineering applications. While their success is strongly dependent on our un…
cs.LG2019★ 1 cited
Probabilistic Surrogate Networks for Simulators with Unbounded Randomness
Andreas Munk, Berend Zwartsenberg, Adam Ścibior +5
We present a framework for automatically structuring and training fast, approximate, deep neural surrogates of stochastic simulators. Unlike traditional approaches to surrogate mod…