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Works (15)

A deep generative deconvolutional image model

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics
2016 | Conference paper
Source: Self-asserted source
Andrew Stevens

Compressive Sensing in Microscopy: a Tutorial

Microscopy and Microanalysis
2016 | Conference paper
Source: Self-asserted source
Andrew Stevens

Compressive STEM-EELS

Microscopy and Microanalysis
2016 | Conference paper
Source: Self-asserted source
Andrew Stevens

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2016 | Conference paper
Source: Self-asserted source
Andrew Stevens

Practical Implementation of Compressive Sensing for High Resolution STEM

Microscopy and Microanalysis
2016 | Journal article
Source: Self-asserted source
Andrew Stevens

Variational Autoencoder for Deep Learning of Images, Labels and Captions

Neural and Information Processing Systems (NIPS)
2016 | Conference paper
Source: Self-asserted source
Andrew Stevens

Implementing an accurate and rapid sparse sampling approach for low-dose atomic resolution STEM imaging

Applied Physics Letters
2016-10-17 | Journal article
Contributors: L. Kovarik; A. Stevens; A. Liyu; N. D. Browning
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Crossref

The Impact of Li Grain Size on Coulombic Efficiency in Li Batteries

Scientific Reports
2016-10-05 | Journal article
Contributors: B. Layla Mehdi; Andrew Stevens; Jiangfeng Qian; Chiwoo Park; Wu Xu; Wesley A. Henderson; Ji-Guang Zhang; Karl T. Mueller; Nigel D. Browning
Source: Self-asserted source
Andrew Stevens via Crossref Metadata Search

TEM Video Compressive Sensing

Microscopy and Microanalysis
2015 | Journal article
Source: Self-asserted source
Andrew Stevens

Understanding Nanoscale Battery Processes By Operando (Scanning) Transmission Electron Microscopy

Meeting Abstracts
2015 | Conference paper
Source: Self-asserted source
Andrew Stevens

Applying compressive sensing to TEM video: a substantial frame rate increase on any camera

Advanced Structural and Chemical Imaging
2015-12 | Journal article
Contributors: Andrew Stevens; Libor Kovarik; Patricia Abellan; Xin Yuan; Lawrence Carin; Nigel D. Browning
Source: check_circle
Crossref

Model Identification for Optimal Diesel Emissions Control

ICML workshop on Machine Learning for System Identification
2013 | Conference paper
Source: Self-asserted source
Andrew Stevens

Structured Random Non-negative Matrix Factorization

ICML workshop on Spectral Learning
2013 | Conference paper
Source: Self-asserted source
Andrew Stevens

The potential for Bayesian compressive sensing to significantly reduce electron dose in high-resolution STEM images

Microscopy (Tokyo)
2013-10 | Journal article
Contributors: Andrew Stevens; Hao Yang; Lawrence Carin; Ilke Arslan; Nigel D. Browning
Source: Self-asserted source
Andrew Stevens via Crossref Metadata Search

Optimal SCR Control Using Data-Driven Models

SAE Technical Paper Series
2013-04-08 | Conference paper
Contributors: Andrew Stevens; Yannan Sun; Jianming Lian; Maruthi Devarakonda; Gordon Parker
Source: Self-asserted source
Andrew Stevens via Crossref Metadata Search