29 citations · 50 across the 6 of their papers we have counts for
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cond-mat.dis-nn2019★ 6 cited
Classical Quantum Optimization with Neural Network Quantum States
Joseph Gomes, Keri A. McKiernan, Peter Eastman +1
The classical simulation of quantum systems typically requires exponential resources. Recently, the introduction of a machine learning-based wavefunction ansatz has led to the abil…
q-bio.GN2019
Predicting Gene Expression Between Species with Neural Networks
Peter Eastman, Vijay S. Pande
We train a neural network to predict human gene expression levels based on experimental data for rat cells. The network is trained with paired human/rat samples from the Open TG-GA…
q-bio.GN2019
Predicting Toxicity from Gene Expression with Neural Networks
Peter Eastman, Vijay S. Pande
We train a neural network to predict chemical toxicity based on gene expression data. The input to the network is a full expression profile collected either in vitro from cultured…