Adam Charles

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Christopher RozellJulian T. Hightower Chaired Professor of Electrical & Computer Engineering, Georgia TechVerified email at gatech.edu
Jonathan PillowProfessor of Neuroscience, Princeton UniversityVerified email at princeton.edu
David W. TankPrinceton UniversityVerified email at princeton.edu
Alexander SongGraduate student in Physics, Princeton UniversityVerified email at princeton.edu
Sue Ann KoayJaneliaVerified email at janelia.hhmi.org
Stephan Y ThibergeDirector of the Bezos Center Imaging Facility, Princeton Neuroscience Institute, PrincetonVerified email at princeton.edu
Bruno OlshausenProfessor, UC BerkeleyVerified email at berkeley.edu
Han Lun YapDSO National LaboratoriesVerified email at dso.org.sg
Gal MishneAssistant Professor, UC San DiegoVerified email at ucsd.edu
Salman AsifAssociate Professor, ECE, University of California, RiversideVerified email at ece.ucr.edu
Dong YinResearch Scientist, DeepMindVerified email at google.com
Samuel ShaperoGeorgia Tech Research InstituteVerified email at gtri.gatech.edu
Pierre GarriguesYahoo ResearchVerified email at yahoo-inc.com
John LeeGeorgia Institute of TechnologyVerified email at gatech.edu
Carlos BrodyPrinceton UniversityVerified email at princeton.edu
Greg HorwitzUniversity of WashingtonVerified email at u.washington.edu
Mijung ParkUniversity of British ColumbiaVerified email at cs.ubc.ca
Scott GiganteSenior Machine Learning Scientist, ImmunaiVerified email at immunai.com
Smita KrishnaswamyYale UniversityVerified email at yale.edu
Justus KebschullJohns Hopkins UniversityVerified email at kebschull.me

Adam Charles

Johns Hopkins University, Department of Biomedical Engineering

Verified email at jhu.edu - Homepage

Statistical Signal Processing Biomedical data science Neural Imaging Machine Learning Computational Neuroscience


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	230	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	127	2017
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	116	2011
Dynamic Filtering of Time-Varying Sparse Signals viaMinimization AS Charles, A Balavoine, CJ Rozell IEEE Transactions on Signal Processing 64 (21), 5644-5656, 2016	59	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	41	2012
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	38	2018
Spectral Superresolution of Hyperspectral Imagery Using Reweighted Spatial Filtering AS Charles, CJ Rozell IEEE Geoscience and Remote Sensing Letters 11 (3), 602-606, 2013	34	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	32	2011
Neural anatomy and optical microscopy (NAOMi) simulation for evaluating calcium imaging methods A Song, JL Gauthier, JW Pillow, DW Tank, AS Charles Journal of neuroscience methods 358, 109173, 2021	31*	2021
Dynamic filtering of sparse signals using reweighted ℓ₁ AS Charles, CJ Rozell 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	30	2013
Short-term memory capacity in networks via the restricted isometry property AS Charles, HL Yap, CJ Rozell Neural computation 26 (6), 1198-1235, 2014	29	2014
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	29	2012
Visualizing the phate of neural networks S Gigante, AS Charles, S Krishnaswamy, G Mishne Advances in neural information processing systems 32, 2019	22	2019
Sequential and efficient neural-population coding of complex task information SA Koay, AS Charles, SY Thiberge, CD Brody, DW Tank Neuron 110 (2), 328-349. e11, 2022	21	2022
Toward community-driven big open brain science: Open big data and tools for structure, function, and genetics AS Charles, B Falk, N Turner, TD Pereira, D Tward, BD Pedigo, J Chung, ... Annual review of neuroscience 43, 441-464, 2020	16	2020
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	16	2017
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	15	2018
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	13	2010
Sparse-coding variational auto-encoders G Barello, AS Charles, JW Pillow BioRxiv, 399246, 2018	11	2018
Re-weighted l_1 Dynamic Filtering for Time-Varying Sparse Signal Estimation AS Charles, CJ Rozell arXiv preprint arXiv:1208.0325, 2012	11	2012

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