2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
Guillaume Martinet, Alexander Strzalkowski, Barbara E. Engelhardt
Selecting powerful predictors for an outcome is a cornerstone task for machine learning. However, some types of questions can only be answered by identifying the predictors that ca…
cs.LG2018
Modeling Global Dynamics from Local Snapshots with Deep Generative Neural Networks
Scott Gigante, David van Dijk, Kevin Moon +3
Complex high dimensional stochastic dynamic systems arise in many applications in the natural sciences and especially biology. However, while these systems are difficult to describ…