| Quasi-continuous MIMO sliding-mode control A Levant, B Shustin IEEE Transactions on Automatic Control 63 (9), 3068-3074, 2017 | 49 | 2017 |
| Riemannian optimization with a preconditioning scheme on the generalized Stiefel manifold B Shustin, H Avron Journal of Computational and Applied Mathematics 423, 114953, 2023 | 13* | 2023 |
| Solving trust region subproblems using Riemannian optimization U Mor, B Shustin, H Avron Numerische Mathematik 154 (1), 1-33, 2023 | 4 | 2023 |
| Manifold free riemannian optimization B Shustin, H Avron, B Sober arXiv preprint arXiv:2209.03269, 2022 | 4 | 2022 |
| AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning Y Refael, J Svirsky, B Shustin, W Huleihel, O Lindenbaum arXiv preprint arXiv:2410.17881, 2024 | | 2024 |
| Faster Randomized Methods for Orthogonality Constrained Problems B Shustin, H Avron Journal of Machine Learning Research 25 (257), 1-59, 2024 | | 2024 |
| Accelerating the Training of Machine Learning (ML) Models via Data Instance Compression BENI Yaniv, S Vargaftik, B Shustin US Patent App. 17/535,483, 2023 | | 2023 |
| Importance Sampling with Bandwidth Constraints BENI Yaniv, S Vargaftik, B Shustin US Patent App. 17/535,479, 2023 | | 2023 |
| Importance Sampling via Machine Learning (ML)-Based Gradient Approximation Y Ben-Itzhak, S Vargaftic, B Shustin US Patent US20230138990 A1, 2023 | | 2023 |
