| A deep learning approach to structured signal recovery A Mousavi, AB Patel, RG Baraniuk 2015 53rd annual allerton conference on communication, control, and …, 2015 | 560 | 2015 |
| Learning to invert: Signal recovery via deep convolutional networks A Mousavi, RG Baraniuk 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 365 | 2017 |
| Learned D-AMP: Principled neural network based compressive image recovery C Metzler, A Mousavi, R Baraniuk Advances in neural information processing systems 30, 2017 | 315 | 2017 |
| Unsupervised learning with Stein's unbiased risk estimator CA Metzler, A Mousavi, R Heckel, RG Baraniuk arXiv preprint arXiv:1805.10531, 2018 | 112 | 2018 |
| Deepcodec: Adaptive sensing and recovery via deep convolutional neural networks A Mousavi, G Dasarathy, RG Baraniuk arXiv preprint arXiv:1707.03386, 2017 | 98 | 2017 |
| Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes D Sen, A Aghazadeh, A Mousavi, A Nagarajaiah, R Baraniuk, A Dabak Mechanical Systems and Signal Processing 131, 524-537, 2019 | 88 | 2019 |
| Breaking the glass ceiling for embedding-based classifiers for large output spaces C Guo, A Mousavi, X Wu, DN Holtmann-Rice, S Kale, S Reddi, S Kumar Advances in Neural Information Processing Systems 32, 2019 | 74 | 2019 |
| Off-policy evaluation in infinite-horizon reinforcement learning with latent confounders A Bennett, N Kallus, L Li, A Mousavi International Conference on Artificial Intelligence and Statistics, 1999-2007, 2021 | 55 | 2021 |
| Parameterless optimal approximate message passing A Mousavi, A Maleki, RG Baraniuk arXiv preprint arXiv:1311.0035, 2013 | 50 | 2013 |
| Consistent parameter estimation for lasso and approximate message passing A Mousavi, A Maleki, RG Baraniuk | 42 | 2018 |
| Sparsity-based approaches for damage detection in plates D Sen, A Aghazadeh, A Mousavi, S Nagarajaiah, R Baraniuk Mechanical Systems and Signal Processing 117, 333-346, 2019 | 41 | 2019 |
| Consistent parameter estimation for LASSO and approximate message passing A Mousavi, A Maleki, RG Baraniuk | 38 | 2017 |
| Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning A Mousavi, L Li, Q Liu, D Zhou International Conference on Learning Representations (ICLR), 2020 | 36 | 2020 |
| Signal recovery via deep convolutional networks RG Baraniuk, A Mousavi US Patent 10,985,777, 2021 | 33 | 2021 |
| A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery A Mousavi, G Dasarathy, RG Baraniuk International Conference on Learning Representations (ICLR), 2019 | 30 | 2019 |
| High-throughput vector similarity search in knowledge graphs J Mohoney, A Pacaci, SR Chowdhury, A Mousavi, IF Ilyas, UF Minhas, ... Proceedings of the ACM on Management of Data 1 (2), 1-25, 2023 | 19 | 2023 |
| Asymptotic analysis of lassos solution path with implications for approximate message passing A Mousavi, A Maleki, RG Baraniuk arXiv preprint arXiv:1309.5979, 2013 | 18 | 2013 |
| Uniform Partitioning of Data Grid for Association Detection A Mousavi, RG Baraniuk IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 10 | 2020 |
| Simplified MAP-MUD for active user CDMA P Pad, A Mousavi, A Goli, F Marvasti Communications Letters, IEEE 15 (6), 599-601, 2011 | 9 | 2011 |
| Time Sensitive Knowledge Editing through Efficient Finetuning X Ge, A Mousavi, E Grave, A Joulin, K Qian, B Han, M Arefiyan, Y Li arXiv preprint arXiv:2406.04496, 2024 | 6 | 2024 |
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice University確認したメール アドレス: rice.edu