1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.data-an2022
Deep learning study of an electromagnetic calorimeter
Elihu Sela, Shan Huang, David Horn
The accurate and precise extraction of information from a modern particle physics detector, such as an electromagnetic calorimeter, may be complicated and challenging. In order to…
q-fin.ST2021★ 1 cited
Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning
Zhaolu Dong, Shan Huang, Simiao Ma +1
Deep Reinforcement learning is a branch of unsupervised learning in which an agent learns to act based on environment state in order to maximize its total reward. Deep reinforcemen…
physics.comp-ph2020
Predicting nucleation near the spinodal in the Ising model using machine learning
Shan Huang, William Klein, Harvey Gould
We use a Convolutional Neural Network (CNN) and two logistic regression models to predict the probability of nucleation in the two-dimensional Ising model. The three models success…