| A deep learning approach to structured signal recovery A Mousavi, AB Patel, RG Baraniuk 2015 53rd annual allerton conference on communication, control, and …, 2015 | 611 | 2015 |
| Learning to invert: Signal recovery via deep convolutional networks A Mousavi, RG Baraniuk 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 384 | 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 | 356 | 2017 |
| Phi-4-mini technical report: Compact yet powerful multimodal language models via mixture-of-loras A Abouelenin, A Ashfaq, A Atkinson, H Awadalla, N Bach, J Bao, ... arXiv preprint arXiv:2503.01743, 2025 | 204 | 2025 |
| Unsupervised learning with stein's unbiased risk estimator CA Metzler, A Mousavi, R Heckel, RG Baraniuk arXiv preprint arXiv:1805.10531, 2018 | 135 | 2018 |
| Deepcodec: Adaptive sensing and recovery via deep convolutional neural networks A Mousavi, G Dasarathy, RG Baraniuk arXiv preprint arXiv:1707.03386, 2017 | 105 | 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 | 104 | 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 | 79 | 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 | 69 | 2021 |
| 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 | 61 | 2023 |
| Parameterless optimal approximate message passing A Mousavi, A Maleki, RG Baraniuk arXiv preprint arXiv:1311.0035, 2013 | 50 | 2013 |
| 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 | 48 | 2019 |
| Consistent parameter estimation for lasso and approximate message passing A Mousavi, A Maleki, RG Baraniuk | 47 | 2018 |
| 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 | 40 | 2020 |
| Consistent parameter estimation for LASSO and approximate message passing A Mousavi, A Maleki, RG Baraniuk | 39 | 2017 |
| Signal recovery via deep convolutional networks RG Baraniuk, A Mousavi US Patent 10,985,777, 2021 | 37 | 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 | 36 | 2019 |
| Asymptotic analysis of lassos solution path with implications for approximate message passing A Mousavi, A Maleki, RG Baraniuk arXiv preprint arXiv:1309.5979, 2013 | 19 | 2013 |
| 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 | 11 | 2024 |
| Growing and serving large open-domain knowledge graphs IF Ilyas, JP Lacerda, Y Li, UF Minhas, A Mousavi, J Pound, T Rekatsinas, ... Companion of the 2023 International Conference on Management of Data, 253-259, 2023 | 10 | 2023 |
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
