1 citations · 2 across the 7 of their papers we have counts for
3 papers · 1 filter
Lifting Biomolecular Data Acquisition
Eli N. Weinstein, Andrei Slabodkin, Mattia G. Gollub +5
One strategy to scale up ML-driven science is to increase wet lab experiments' information density. We present a method based on a neural extension of compressed sensing to functio…
Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries
Bohan Wu, Eli N. Weinstein, David M. Blei
Empirical Bayes (EB) improves the accuracy of simultaneous inference "by learning from the experience of others" (Efron, 2012). Classical EB theory focuses on latent variables that…
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…