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Found 3 papers, 2 papers with code
Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data
Convolutional neural networks (CNNs) allow for parameter sharing and translational equivariance by using convolutional kernels in their linear layers.
When the ends don't justify the means: Learning a treatment strategy to prevent harmful indirect effects
There is a growing literature on finding so-called optimal treatment rules, which are rules by which to assign treatment to individuals based on an individual's characteristics, such that a desired outcome is maximized.
Applications Methodology
Causal inference for social network data
We describe semiparametric estimation and inference for causal effects using observational data from a single social network.
Methodology Statistics Theory Statistics Theory
