| 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 | 237 | 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 | 144 | 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 | 115 | 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 | 74* | 2016 |
| 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 | 58 | 2022 |
| 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 | 56 | 2021 |
| 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 | 50 | 2018 |
| 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 | 40 | 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 | 34 | 2013 |
| Visualizing the phate of neural networks S Gigante, AS Charles, S Krishnaswamy, G Mishne Advances in neural information processing systems 32, 2019 | 31 | 2019 |
| 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 | 31 | 2011 |
| Short-term memory capacity in networks via the restricted isometry property AS Charles, HL Yap, CJ Rozell Neural computation 26 (6), 1198-1235, 2014 | 30 | 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 |
| Dynamic filtering of sparse signals using reweighted ℓ1 AS Charles, CJ Rozell 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 28 | 2013 |
| Detecting and correcting false transients in calcium imaging JL Gauthier, SA Koay, EH Nieh, DW Tank, JW Pillow, AS Charles Nature Methods, 2022 | 19 | 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 (1), 441-464, 2020 | 19 | 2020 |
| 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 | 19 | 2018 |
| Sparse-coding variational auto-encoders V Geadah, G Barello, D Greenidge, AS Charles, JW Pillow BioRxiv, 399246, 2018 | 17 | 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 | 17 | 2017 |
| GraFT: Graph filtered temporal dictionary learning for functional neural imaging AS Charles, N Cermak, RO Affan, BB Scott, J Schiller, G Mishne IEEE Transactions on Image Processing 31, 3509-3524, 2022 | 15 | 2022 |
Christopher RozellJulian T. Hightower Chaired Professor of Electrical & Computer Engineering, Georgia Tech在 gatech.edu 的电子邮件经过验证
