3 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ML2023★ 1 cited
Counterfactual Identifiability of Bijective Causal Models
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
We study counterfactual identifiability in causal models with bijective generation mechanisms (BGM), a class that generalizes several widely-used causal models in the literature. W…
cs.DC2021★ 3 cited
Efficient Strong Scaling Through Burst Parallel Training
Seo Jin Park, Joshua Fried, Sunghyun Kim +2
As emerging deep neural network (DNN) models continue to grow in size, using large GPU clusters to train DNNs is becoming an essential requirement to achieving acceptable training…