6 citations · 6 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss
Rishi Sharma, Amir Barati Farimani, Joe Gomes +2
In typical machine learning tasks and applications, it is necessary to obtain or create large labeled datasets in order to to achieve high performance. Unfortunately, large labeled…