4 citations · 4 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2022★ 4 cited
Physics-Driven Convolutional Autoencoder Approach for CFD Data Compressions
Alberto Olmo, Ahmed Zamzam, Andrew Glaws +1
With the growing size and complexity of turbulent flow models, data compression approaches are of the utmost importance to analyze, visualize, or restart the simulations. Recently,…
cs.LG2021
Growing Representation Learning
Ryan King, Bobak Mortazavi
Machine learning continues to grow in popularity due to its ability to learn increasingly complex tasks. However, for many supervised models, the shift in a data distribution or th…