activity
20162022
most citedVariational Autoencoder Analysis of Ising Model Statistical Distributions and Phase Transitions

7 citations · 33 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2022

Rotated Digit Recognition by Variational Autoencoders with Fixed Output Distributions

David Yevick

This paper demonstrates that a simple modification of the variational autoencoder (VAE) formalism enables the method to identify and classify rotated and distorted digits. In parti…

cond-mat.stat-mech2021★ 7 cited

Variational Autoencoder Analysis of Ising Model Statistical Distributions and Phase Transitions

David Yevick

Variational autoencoders employ an encoding neural network to generate a probabilistic representation of a data set within a low-dimensional space of latent variables followed by a…

physics.data-an2020★ 6 cited

Conservation Laws and Spin System Modeling through Principal Component Analysis

David Yevick

This paper examines several applications of principal component analysis (PCA) to physical systems. The first of these demonstrates that the principal components in a basis of appr…

cond-mat.stat-mech2020★ 3 cited

Accuracy and Efficiency of Simplified Tensor Network Codes

David Yevick, Jesse Thompson

We examine in detail the accuracy, efficiency and implementation issues that arise when a simplified code structure is employed to evaluate the partition function of the two-dimens…

cond-mat.stat-mech2019★ 4 cited

A Cluster Controller for Transition Matrix Calculations

David Yevick, Yong Hwan Lee

We demonstrate that a temperature schedule for single-spin flip transition matrix calculations can be simply and rapidly generated by monitoring the average size of the Wolff clust…

cond-mat.stat-mech2018★ 5 cited

A Projected Entropy Controller for Transition Matrix Calculations

David Yevick

We define the projected entropy S(T) at a given temperature T in the context of an Ising model transition matrix calculation as the entropy associated with the distribution of Mark…