3 papers
q-bio.BM2026
Continuous Variational Synthesis
Alan N. Amin, Mattia G. Gollub, Andrei Slabodkin +2
Biological machine learning was long bottlenecked by the ability to synthesize designed DNA. Variational synthesis models control chemical reactions to physically manufacture quadr…
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…