| Attention is not all you need: Pure attention loses rank doubly exponentially with depth Y Dong, JB Cordonnier, A Loukas International Conference on Machine Learning, 2793-2803, 2021 | 385 | 2021 |
| Hnhn: Hypergraph networks with hyperedge neurons Y Dong, W Sawin, Y Bengio arXiv preprint arXiv:2006.12278, 2020 | 136 | 2020 |
| Coinpress: Practical private mean and covariance estimation S Biswas, Y Dong, G Kamath, J Ullman Advances in Neural Information Processing Systems 33, 14475-14485, 2020 | 116 | 2020 |
| Quantum entropy scoring for fast robust mean estimation and improved outlier detection Y Dong, S Hopkins, J Li Advances in Neural Information Processing Systems 32, 2019 | 112 | 2019 |
| Learning space partitions for nearest neighbor search Y Dong, P Indyk, I Razenshteyn, T Wagner arXiv preprint arXiv:1901.08544, 2019 | 105 | 2019 |
| Scalable nearest neighbor search for optimal transport A Backurs, Y Dong, P Indyk, I Razenshteyn, T Wagner International Conference on machine learning, 497-506, 2020 | 72 | 2020 |
| {SANNS}: Scaling up secure approximate {k-Nearest} neighbors search H Chen, I Chillotti, Y Dong, O Poburinnaya, I Razenshteyn, MS Riazi 29th USENIX Security Symposium (USENIX Security 20), 2111-2128, 2020 | 72 | 2020 |
| Koopman neural forecaster for time series with temporal distribution shifts R Wang, Y Dong, SÖ Arik, R Yu arXiv preprint arXiv:2210.03675, 2022 | 36* | 2022 |
| Copt: Coordinated optimal transport on graphs Y Dong, W Sawin Advances in Neural Information Processing Systems 33, 19327-19338, 2020 | 24 | 2020 |
| A study of performance of optimal transport Y Dong, Y Gao, R Peng, I Razenshteyn, S Sawlani arXiv preprint arXiv:2005.01182, 2020 | 19 | 2020 |
| Learning sublinear-time indexing for nearest neighbor search Y Dong, P Indyk, IP Razenshteyn, T Wagner arXiv preprint arXiv:1901.08544, 2019 | 14 | 2019 |
| Using DNA technology to explore marine bacterial diversity in a coastal Georgia salt marsh Y Dong, S Guerrero, MA Moran The American biology teacher 70 (5), 279-283, 2008 | 9 | 2008 |
| Scaling up secure approximate k-nearest neighbors search H Chen, I Chilotti, Y Dong, O Poburinnaya, I Razenshteyn, MS Riazi USENIX security symposium, 2020 | 8 | 2020 |
| IngesTables: Scalable and Efficient Training of LLM-Enabled Tabular Foundation Models S Yak, Y Dong, J Gonzalvo, S Arik NeurIPS 2023 Second Table Representation Learning Workshop, 2023 | 7 | 2023 |
| Lanistr: Multimodal learning from structured and unstructured data S Ebrahimi, SO Arik, Y Dong, T Pfister arXiv preprint arXiv:2305.16556, 2023 | 5 | 2023 |
| Hnhn: Hypergraph networks with hyperedge neurons (2020) Y Dong, W Sawin, Y Bengio arXiv preprint arXiv:2006.12278, 2006 | 5 | 2006 |
| Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth. arXiv 2021 Y Dong, JB Cordonnier, A Loukas arXiv preprint arXiv:2103.03404, 0 | 5 | |
| Scalable nearest neighbor search for optimal transport Y Dong, P Indyk, I Razenshteyn, T Wagner arXiv preprint arXiv:1910.04126, 2019 | 4 | 2019 |
| COPT: Coordinated Optimal Transport for Graph Sketching Y Dong, W Sawin arXiv preprint arXiv:2003.03892, 2020 | 3 | 2020 |
| NLP-Based Detection of Mathematics subject classification Y Dong Mathematical Software–ICMS 2018: 6th International Conference, South Bend …, 2018 | 3 | 2018 |
Ilya RazenshteynCipherMode LabsDirección de correo verificada de mit.edu
