| Context-free transductions with neural stacks Y Hao, W Merrill, D Angluin, R Frank, N Amsel, A Benz, S Mendelsohn Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 45 | 2018 |
| Designing data center networks using bottleneck structures J Ros-Giralt, N Amsel, S Yellamraju, J Ezick, R Lethin, Y Jiang, A Feng, ... Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 319-348, 2021 | 12 | 2021 |
| Spectral neighbor joining for reconstruction of latent tree models A Jaffe, N Amsel, Y Aizenbud, B Nadler, JT Chang, Y Kluger SIAM journal on mathematics of data science 3 (1), 113-141, 2021 | 10 | 2021 |
| Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing W Merrill, L Khazan, N Amsel, Y Hao, S Mendelsohn, R Frank Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting …, 2019 | 7* | 2019 |
| Fixed-sparsity matrix approximation from matrix-vector products N Amsel, T Chen, FD Keles, D Halikias, C Musco, C Musco arXiv preprint arXiv:2402.09379, 2024 | 3 | 2024 |
| Near-Optimal Approximation of Matrix Functions by the Lanczos Method N Amsel, T Chen, A Greenbaum, C Musco, C Musco arXiv preprint arXiv:2303.03358, 2023 | 3 | 2023 |
| Computing Bottleneck Structures at Scale for High-Precision Network Performance Analysis N Amsel, J Ros-Giralt, S Yellamraju, J Ezick, B von Hofe, A Ryan, R Lethin 2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), 68-78, 2020 | 2 | 2020 |
| On the benefits of rank in attention layers N Amsel, G Yehudai, J Bruna arXiv preprint arXiv:2407.16153, 2024 | | 2024 |
| Spectral top-down recovery of latent tree models Y Aizenbud, A Jaffe, M Wang, A Hu, N Amsel, B Nadler, JT Chang, ... Information and Inference: A Journal of the IMA 12 (3), 2300-2350, 2023 | | 2023 |
