3 citations · 3 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
eQuilibrator 3.0 -- a platform for the estimation of thermodynamic constants
Moritz E. Beber, Mattia G. Gollub, Dana Mozaffari +2
eQuilibrator (equilibrator.weizmann.ac.il) is a calculator for biochemical equilibrium constants and Gibbs free energies, originally designed as a web-based interface. While the we…