| Expectation-maximization Gaussian-mixture approximate message passing JP Vila, P Schniter IEEE Transactions on Signal Processing 61 (19), 4658-4672, 2013 | 512 | 2013 |
| Adaptive damping and mean removal for the generalized approximate message passing algorithm J Vila, P Schniter, S Rangan, F Krzakala, L Zdeborová 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 174 | 2015 |
| Expectation-maximization Bernoulli-Gaussian approximate message passing J Vila, P Schniter 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals …, 2011 | 154 | 2011 |
| An empirical-Bayes approach to recovering linearly constrained non-negative sparse signals JP Vila, P Schniter IEEE Transactions on Signal Processing 62 (18), 4689-4703, 2014 | 47 | 2014 |
| Generalized approximate message passing for cosparse analysis compressive sensing M Borgerding, P Schniter, J Vila, S Rangan 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 40 | 2015 |
| Minibatch least-squares reverse time migration in a deep-learning framework J Vamaraju, J Vila, M Araya-Polo, D Datta, M Sidahmed, MK Sen Geophysics 86 (2), S125-S142, 2021 | 32 | 2021 |
| Hyperspectral unmixing via turbo bilinear approximate message passing J Vila, P Schniter, J Meola IEEE Transactions on Computational Imaging 1 (3), 143-158, 2015 | 23 | 2015 |
| Hyperspectral image unmixing via bilinear generalized approximate message passing J Vila, P Schniter, J Meola Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2013 | 12 | 2013 |
| Deep learning applied to seismic attribute computation DP Griffith, SA Zamanian, J Vila, A Vial-Aussavy, J Solum, RD Potter, ... Interpretation 7 (3), SE141-SE150, 2019 | 10 | 2019 |
| GAMPmatlab S Rangan, JT Parker, P Schniter, J Ziniel, J Vila, M Borgerding Examples of BiG-AMP, 2014 | 10 | 2014 |
| Estimation of time-lapse timeshifts using machine learning Y Duan, S Yuan, P Hatchell, J Vila, K Wang SEG Technical Program Expanded Abstracts 2020, 3724-3728, 2020 | 9 | 2020 |
| Nonlinear state-space modeling approaches to real-time autonomous geosteering Y Miao, DR Kowal, N Panchal, J Vila, M Vannucci Journal of Petroleum Science and Engineering 189, 107025, 2020 | 6 | 2020 |
| Stochastic clustering and pattern matching for real-time geosteering M Wu, Y Miao, N Panchal, DR Kowal, M Vannucci, J Vila, F Liang Geophysics 84 (5), ID13-ID24, 2019 | 5 | 2019 |
| Classifier performance estimation with unbalanced, partially labeled data BA Miller, J Vila, M Kirn, JR Zipkin International Workshop on Cost-Sensitive Learning, 4-16, 2018 | 5 | 2018 |
| Process for real time geological localization with reinforcement learning N Panchal, SMK Sultan, JP Vila, MB Jain, D Thanoon, MJU DIAZ, ... US Patent App. 17/263,999, 2021 | 4 | 2021 |
| Empirical-Bayes Approaches to Recovery of Structured Sparse Signals via Approximate Message Passing JP Vila The Ohio State University, 2015 | 4 | 2015 |
| Accelerating least squares imaging using deep learning techniques J Vamaraju, J Vila, M Araya-Polo, D Datta, M Sidahmed, M Sen arXiv preprint arXiv:1911.06027, 2019 | 3 | 2019 |
| Expectation-maximization gaussian-mixture approximate message passing P Schniter, J Vila 2012 46th Annual Conference on Information Sciences and Systems, CISS, 2012 | 3 | 2012 |
| Content-based image retrieval for industrial material images with deep learning and encoded physical properties MS Shim, C Thiele, J Vila, N Saxena, D Hohl Data-Centric Engineering 4, e21, 2023 | 2 | 2023 |
| Deep learning based gather automated processing of migrated gathers for velocity model building J Vamaraju, B Han, C Sutton, Z Liu, H Rynja, J Vila First International Meeting for Applied Geoscience & Energy, 1530-1534, 2021 | 2 | 2021 |
