| Independent component analysis for brain fMRI does indeed select for maximal independence VD Calhoun, VK Potluru, R Phlypo, RF Silva, BA Pearlmutter, A Caprihan, ... PloS one 8 (8), e73309, 2013 | 94 | 2013 |
| The tenth annual MLSP competition: Schizophrenia classification challenge RF Silva, E Castro, CN Gupta, M Cetin, M Arbabshirani, VK Potluru, ... 2014 IEEE international workshop on machine learning for signal processing …, 2014 | 50 | 2014 |
| Sparse separation: Principles and tricks BA Pearlmutter, VK Potluru Independent Component Analyses, Wavelets, and Neural Networks 5102, 1-4, 2003 | 31 | 2003 |
| High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia SM Plis, J Sui, T Lane, S Roy, VP Clark, VK Potluru, RJ Huster, A Michael, ... NeuroImage 102, 35-48, 2014 | 29 | 2014 |
| Group learning using contrast NMF: Application to functional and structural MRI of schizophrenia VK Potluru, VD Calhoun 2008 IEEE International Symposium on Circuits and Systems (ISCAS), 1336-1339, 2008 | 28 | 2008 |
| How to fake multiply by a Gaussian matrix M Kapralov, V Potluru, D Woodruff International Conference on Machine Learning, 2101-2110, 2016 | 22 | 2016 |
| Block coordinate descent for sparse NMF VK Potluru, SM Plis, JL Roux, BA Pearlmutter, VD Calhoun, TP Hayes arXiv preprint arXiv:1301.3527, 2013 | 19 | 2013 |
| Goal recognition via model-based and model-free techniques D Borrajo, S Gopalakrishnan, VK Potluru arXiv preprint arXiv:2011.01832, 2020 | 12 | 2020 |
| Conservative Exploration using Interleaving S Katariya, B Kveton, Z Wen, VK Potluru 22nd International Conference on Artificial Intelligence and Statistics, 16 …, 2018 | 12 | 2018 |
| Sparse shift-invariant NMF VK Potluru, SM Plis, VD Calhoun 2008 IEEE Southwest Symposium on Image Analysis and Interpretation, 69-72, 2008 | 12 | 2008 |
| Method and system for detecting events in an acoustic signal subject to cyclo-stationary noise JR Hershey, VK Potluru, J Le Roux US Patent 9,477,895, 2016 | 11 | 2016 |
| Driver prediction to improve interaction with in-vehicle HMI B Harsham, S Watanabe, A Esenther, J Hershey, J Le Roux, Y Luan, ... Proc. workshop on digital signal processing for in-vehicle systems (dsp), 2015 | 10 | 2015 |
| Explicit group sparse projection with applications to deep learning and NMF R Ohib, N Gillis, N Dalmasso, S Shah, VK Potluru, S Plis arXiv preprint arXiv:1912.03896, 2019 | 9* | 2019 |
| CometCloudCare (c3): distributed machine learning platform-as-a-service with privacy preservation VK Potluru, J Diaz-Montes, AD Sarwate, SM Plis, VD Calhoun, ... | 9 | 2014 |
| Efficient multiplicative updates for support vector machines VK Potluru, SM Plis, M Mørup, VD Calhoun, T Lane Proceedings of the 2009 SIAM International Conference on Data Mining, 1220-1231, 2009 | 9 | 2009 |
| Graph belief propagation networks J Jia, C Baykal, VK Potluru, AR Benson arXiv preprint arXiv:2106.03033, 2021 | 8 | 2021 |
| Correlated noise: How it breaks NMF, and what to do about it SM Plis, VK Potluru, T Lane, VD Calhoun Journal of signal processing systems 65, 351-359, 2011 | 8 | 2011 |
| Synthetic data applications in finance VK Potluru, D Borrajo, A Coletta, N Dalmasso, Y El-Laham, E Fons, ... arXiv preprint arXiv:2401.00081, 2023 | 6 | 2023 |
| Frugal coordinate descent for large-scale NNLS V Potluru Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2451-2452, 2012 | 6 | 2012 |
| Downstream task-oriented generative model selections on synthetic data training for fraud detection models Y Cheng, CH Wang, VK Potluru, T Balch, G Cheng arXiv preprint arXiv:2401.00974, 2024 | 5 | 2024 |
