Adam Charles
Cited by
Cited by
Learning sparse codes for hyperspectral imagery
AS Charles, BA Olshausen, CJ Rozell
IEEE Journal of Selected Topics in Signal Processing 5 (5), 963-978, 2011
Sparsity penalties in dynamical system estimation
A Charles, MS Asif, J Romberg, C Rozell
2011 45th annual conference on information sciences and systems, 1-6, 2011
Volumetric two-photon imaging of neurons using stereoscopy (vTwINS)
A Song, AS Charles, SA Koay, JL Gauthier, SY Thiberge, JW Pillow, ...
Nature Methods 14 (4), 420–426, 2017
Dynamic Filtering of Time-Varying Sparse Signals viaMinimization
AS Charles, A Balavoine, CJ Rozell
IEEE Transactions on Signal Processing 64 (21), 5644-5656, 2016
Low power sparse approximation on reconfigurable analog hardware
S Shapero, AS Charles, CJ Rozell, P Hasler
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012
Spectral Superresolution of Hyperspectral Imagery Using Reweighted Spatial Filtering
AS Charles, CJ Rozell
IEEE Geoscience and Remote Sensing Letters 11 (3), 602-606, 2013
Estimation and dynamic updating of time-varying signals with sparse variations
MS Asif, A Charles, J Romberg, C Rozell
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
Dynamic filtering of sparse signals using reweighted ℓ1
AS Charles, CJ Rozell
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
A common network architecture efficiently implements a variety of sparsity-based inference problems
AS Charles, P Garrigues, CJ Rozell
Neural computation 24 (12), 3317-3339, 2012
Short-term memory capacity in networks via the restricted isometry property
AS Charles, HL Yap, CJ Rozell
Neural computation 26 (6), 1198-1235, 2014
Dethroning the Fano Factor: a flexible, model-based approach to partitioning neural variability
AS Charles, M Park, JP Weller, GD Horwitz, JW Pillow
Neural computation 30 (4), 1012-1045, 2018
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
AS Charles, D Yin, CJ Rozell
Journal of Machine Learning Research 18 (7), 1-37, 2017
Sparse coding for spectral signatures in hyperspectral images
A Charles, B Olshausen, CJ Rozell
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals …, 2010
Re-weighted l_1 Dynamic Filtering for Time-Varying Sparse Signal Estimation
AS Charles, CJ Rozell
arXiv preprint arXiv:1208.0325, 2012
The restricted isometry property for echo state networks with applications to sequence memory capacity
HL Yap, AS Charles, CJ Rozell
2012 IEEE Statistical Signal Processing Workshop (SSP), 580-583, 2012
Interpreting deep learning: The machine learning rorschach test?
AS Charles
arXiv preprint arXiv:1806.00148, 2018
Analog sparse approximation with applications to compressed sensing
AS Charles, P Garrigues, CJ Rozell
arXiv preprint arXiv:1111.4118, 2011
Sparse Dynamic Filtering via Earth Mover's Distance Regularization
N Bertrand, J Lee, A Charles, P Dunn, C Rozell
IEEE International Conference on Acoustics, Speech and Signal Processing, 1-5, 2018
Matrix-normal models for fMRI analysis
M Shvartsman, N Sundaram, M Aoi, A Charles, T Willke, J Cohen
International Conference on Artificial Intelligence and Statistics, 1914-1923, 2018
Earth-mover's distance as a tracking regularizer
AS Charles, NP Bertrand, J Lee, CJ Rozell
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
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