| Tightened convex relaxations for neural network robustness certification BG Anderson, Z Ma, J Li, S Sojoudi 2020 59th IEEE Conference on Decision and Control (CDC), 2190-2197, 2020 | 39 | 2020 |
| Certifiably globally optimal extrinsic calibration from per-sensor egomotion M Giamou, Z Ma, V Peretroukhin, J Kelly IEEE Robotics and Automation Letters 4 (2), 367-374, 2019 | 33 | 2019 |
| A sequential framework towards an exact SDP verification of neural networks Z Ma, S Sojoudi 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 21* | 2021 |
| Sharp restricted isometry property bounds for low-rank matrix recovery problems with corrupted measurements Z Ma, Y Bi, J Lavaei, S Sojoudi Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7672-7681, 2022 | 15 | 2022 |
| Semidefinite programming versus burer-monteiro factorization for matrix sensing B Yalçın, Z Ma, J Lavaei, S Sojoudi Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10702 …, 2023 | 10 | 2023 |
| Noisy low-rank matrix optimization: Geometry of local minima and convergence rate Z Ma, S Sojoudi International Conference on Artificial Intelligence and Statistics, 3125-3150, 2023 | 7 | 2023 |
| Geometric Analysis of Noisy Low-Rank Matrix Recovery in the Exact Parametrized and the Overparametrized Regimes Z Ma, Y Bi, J Lavaei, S Sojoudi INFORMS Journal on Optimization, 2023 | 6 | 2023 |
| Over-parametrization via lifting for low-rank matrix sensing: Conversion of spurious solutions to strict saddle points Z Ma, I Molybog, J Lavaei, S Sojoudi International Conference on Machine Learning, 23373-23387, 2023 | 5 | 2023 |
| Partition-based convex relaxations for certifying the robustness of relu neural networks BG Anderson, Z Ma, J Li, S Sojoudi arXiv preprint arXiv:2101.09306, 2021 | 5 | 2021 |
| Algorithmic regularization in tensor optimization: towards a lifted approach in matrix sensing Z Ma, J Lavaei, S Sojoudi Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses Z Ma, Y Chen, J Lavaei, S Sojoudi International Conference on Artificial Intelligence and Statistics, 1603-1611, 2024 | 2 | 2024 |
| Towards optimal branching of linear and semidefinite relaxations for neural network robustness certification BG Anderson, Z Ma, J Li, S Sojoudi arXiv preprint arXiv:2101.09306, 2021 | 2 | 2021 |
| Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity T Shen, S Liu, J Feng, Z Ma, N An arXiv preprint arXiv:2412.16619, 2024 | | 2024 |
| Solving Matrix Sensing to Optimality under Realistic Settings Z Ma University of California, Berkeley, 2024 | | 2024 |
| Safety verification and robustness analysis of neural networks B Anderson, J Li, Z Ma | | 2019 |
| Supplementary Material for" Certifiably Globally Optimal Extrinsic Calibration from Per-Sensor Egomotion" M Giamou, Z Ma, V Peretroukhin, J Kelly | | 2018 |
| Solving Matrix Completion as Noisy Matrix Sensing Z Ma | | |
Somayeh SojoudiAssociate Professor, EECS, ME, UC Berkeleyberkeley.edu üzerinde doğrulanmış e-posta adresine sahip