Jonathan Minoff
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View article: Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems
Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems Open
Convolutional neural networks (CNNs) have been employed along with variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success. However, it remains uncertain how CNNs, with a model comp…
View article: ReLIC: Full-Scale Realization of Reinforcement Learning for Infrastructure Control
ReLIC: Full-Scale Realization of Reinforcement Learning for Infrastructure Control Open
Prior efforts have shown that deep reinforcement learning (DRL) may provide a new method for controlling networked power systems. Though successful, prior approaches have not yet demonstrated their behavior on systems of realistic scale. T…
View article: Interpreting convolutional neural networks' low dimensional approximation to quantum spin systems
Interpreting convolutional neural networks' low dimensional approximation to quantum spin systems Open
Convolutional neural networks (CNNs) have been employed along with Variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success. In order to do so, however, a CNN with only linearly many…