activity
20172022
most citedLearning to regularize with a variational autoencoder for hydrologic inverse analysis

6 citations · 7 across the 3 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2020

A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing

B. Ahmmed, M. K. Mudunuru, S. Karra +2

Accurate predictions of reactive mixing are critical for many Earth and environmental science problems. To investigate mixing dynamics over time under different scenarios, a high-f…