1 citations · 1 across the 2 of their papers we have counts for
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Geometric Causal Models
Eli N. Weinstein, David M. Blei
Scientists often seek to draw causal inferences from structured data that is not independently and identically distributed, such as spatial data, network data, or molecular data. W…
Accelerated Learning on Large Scale Screens using Generative Library Models
Eli N. Weinstein, Andrei Slabodkin, Mattia G. Gollub +1
Biological machine learning is often bottlenecked by a lack of scaled data. One promising route to relieving data bottlenecks is through high throughput screens, which can experime…
Estimating the Causal Effects of T Cell Receptors
Eli N. Weinstein, Elizabeth B. Wood, David M. Blei
A central question in human immunology is how a patient's repertoire of T cells impacts disease. Here, we introduce a method to infer the causal effects of T cell receptor (TCR) se…