| Q-bert: Hessian based ultra low precision quantization of bert S Shen, Z Dong, J Ye, L Ma, Z Yao, A Gholami, MW Mahoney, K Keutzer Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8815-8821, 2020 | 527 | 2020 |
| Fast and accurate randomized algorithms for low-rank tensor decompositions L Ma, E Solomonik Advances in Neural Information Processing Systems 34, 2021 | 32 | 2021 |
| Inefficiency of k-fac for large batch size training L Ma, G Montague, J Ye, Z Yao, A Gholami, K Keutzer, M Mahoney Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5053-5060, 2020 | 26 | 2020 |
| Accelerating alternating least squares for tensor decomposition by pairwise perturbation L Ma, E Solomonik Numerical Linear Algebra with Applications, e2431, 2022 | 23 | 2022 |
| Comparison of Accuracy and Scalability of Gauss--Newton and Alternating Least Squares for CANDECOMC/PARAFAC Decomposition N Singh, L Ma, H Yang, E Solomonik SIAM Journal on Scientific Computing 43 (4), C290-C311, 2021 | 22* | 2021 |
| A multiscale model for electrochemical reactions in LSCF based solid oxide cells L Ma, P Priya, NR Aluru Journal of The Electrochemical Society 165 (14), F1232, 2018 | 21 | 2018 |
| MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models Z Yao, L Ma, S Shen, K Keutzer, MW Mahoney arXiv preprint arXiv:2105.14636, 2021 | 14 | 2021 |
| Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree L Ma, E Solomonik 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 12 | 2021 |
| AutoHOOT: Automatic high-order optimization for tensors L Ma, J Ye, E Solomonik Proceedings of the ACM International Conference on Parallel Architectures …, 2020 | 12 | 2020 |
| Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs L Ma, E Solomonik arXiv preprint arXiv:2205.13163, 2022 | 7 | 2022 |
| Low rank approximation in simulations of quantum algorithms L Ma, C Yang Journal of Computational Science, 101561, 2022 | 7 | 2022 |
| Tensor Rank and Other Multipartite Entanglement Measures of Graph States L Schatzki, L Ma, E Solomonik, E Chitambar arXiv preprint arXiv:2209.06320, 2022 | 2 | 2022 |
| LEAP: Learnable Pruning for Transformer-based Models Z Yao, X Wu, L Ma, S Shen, K Keutzer, MW Mahoney, Y He arXiv e-prints, arXiv: 2105.14636, 2021 | 1 | 2021 |
| Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm L Ma, M Fishman, M Stoudenmire, E Solomonik arXiv preprint arXiv:2406.09769, 2024 | | 2024 |
| Leveraging the Human Ventral Visual Stream to Improve Neural Network Robustness Z Shao, L Ma, B Li, DM Beck arXiv preprint arXiv:2405.02564, 2024 | | 2024 |
| Towards efficient algorithms and systems for tensor decompositions and tensor networks L Ma University of Illinois at Urbana-Champaign, 2023 | | 2023 |
| Schmidt and Other Multipartite Entanglement Measures of Graph States L Schatzki, L Ma, Y Pang, E Chitambar, E Solomonik Bulletin of the American Physical Society, 2022 | | 2022 |
| A multiscale model for the oxide ion conducting and proton conducting solid oxide cells L Ma | | 2018 |
Michael MahoneyProfessor of Statistics, UC Berkeley在 stat.berkeley.edu 的电子邮件经过验证
