3 citations · 3 across the 3 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
q-bio.BM2025
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…
stat.ML2025
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…