| Towards Efficient Data Valuation based on the Shapley Value R Jia, D Dao, B Wang, FA Hubis, N Hynes, NM Gurel, B Li, C Zhang, ... International Conference on Artificial Intelligence and Statistics, 2019 | 436 | 2019 |
| Efficient Task-specific Data Valuation for Nearest Neighbor Algorithms R Jia, D Dao, B Wang, FA Hubis, NM Gurel, B Li, C Zhang, CJ Spanos, ... International Conference on Very Large Data Bases, 2019 | 217 | 2019 |
| A Data Quality-driven View of MLOps C Renggli, L Rimanic, NM Gürel, B Karlaš, W Wu, C Zhang IEEE Data Engineering Bulletin, 2021 | 79 | 2021 |
| Artificial intelligence index report 2023 N Maslej, L Fattorini, E Brynjolfsson, J Etchemendy, K Ligett, T Lyons, ... arXiv preprint arXiv:2310.03715, 2023 | 51 | 2023 |
| Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions B Karlaš, P Li, R Wu, NM Gürel, X Chu, W Wu, C Zhang International Conference on Very Large Data Bases, 2020 | 47 | 2020 |
| An anatomy of graph neural networks going deep via the lens of mutual information: Exponential decay vs. full preservation NM Gürel, H Ren, Y Wang, H Xue, Y Yang, C Zhang AAAI Conference on Artificial Intelligence, 16, 2020 | 40* | 2020 |
| Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks NM Gürel, X Qi, L Rimanic, C Zhang, B Li International Conference on Machine Learning, 2021 | 35 | 2021 |
| Ease. ml: A lifecycle management system for machine learning L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ... Proceedings of the Annual Conference on Innovative Data Systems Research …, 2021 | 35* | 2021 |
| Fives: Feature interaction via edge search for large-scale tabular data Y Xie, Z Wang, Y Li, B Ding, NM Gürel, C Zhang, M Huang, W Lin, J Zhou Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 34* | 2021 |
| DeGNN: Improving graph neural networks with graph decomposition X Miao*, NM Gürel*, W Zhang, Z Han, B Li, W Min, SX Rao, H Ren, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 27 | 2021 |
| Online Active Model Selection for Pre-trained Classifiers NM Gürel*, MR Karimi*, B Karlaš, J Rausch, C Zhang, ... International Conference on Artificial Intelligence and Statistics, 2021 | 21* | 2021 |
| Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications NM Gürel, K Kara, A Stojanov, T Smith, T Lemmin, D Alistarh, M Püschel, ... IEEE Transactions on Signal Processing, 2020 | 16* | 2020 |
| DMLR: Data-centric Machine Learning Research - Past, Present and Future L Oala, M Maskey, L Bat-Leah, A Parrish, NM Gürel, TS Kuo, Y Liu, R Dror, ... Journal on Data-centric Machine Learning Research 1, 2024 | 7 | 2024 |
| C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models M Kang, NM Gürel, N Yu, D Song, B Li International Conference on Machine Learning (ICML), 2024 | 4 | 2024 |
| Repeated random sampling for minimizing the time-to-accuracy of learning P Okanovic, R Waleffe, V Mageirakos, KE Nikolakakis, A Karbasi, ... arXiv preprint arXiv:2305.18424, 2023 | 3 | 2023 |
| Denoising radio interferometric images by subspace clustering NM Gürel, P Hurley, M Simeoni Image Processing (ICIP), 2017 IEEE International Conference on, 2134-2138, 2017 | 3 | 2017 |
| On denoising crosstalk in radio interferometry NM Gürel, P Hurley, MMJA Simeoni International BASP Frontiers 2017, 2017 | 3 | 2017 |
| Method and System to Reduce Noise in Phased-array Signals from Receivers Located at Different Locations NM Gurel, P Hurley, MMJA Simeoni | 3 | 2017 |
| Certified generation risks for retrieval-augmented language models M Kang, NM Gürel, N Yu, D Song, B Li arXiv preprint arXiv:2402.03181, 2024 | 2 | 2024 |
| Reducing noise in phased-array signals from receivers located at different locations NM Gürel, PT Hurley, MMJA Simeoni US Patent 10,396,456, 2019 | 1 | 2019 |
Ce ZhangTogether AI; University of ChicagoVerified email at together.xyz
