| 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, ... AISTATS, 2019 | 62 | 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, ... arXiv preprint arXiv:1908.08619, 2019 | 34 | 2019 |
| 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 | 7* | 2020 |
| 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 arXiv preprint arXiv:2005.05117, 2020 | 7 | 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 Workshop on Deep Learning on Graphs, 2020 | 5 | 2020 |
| Denoising phased-array antenna signals in the presence of extreme noise NM Gürel MSc Thesis, EPFL, 2016 | 4 | 2016 |
| Towards efficient data valuation based on the shapley value. CoRR R Jia, D Dao, B Wang, FA Hubis, N Hynes, NM Gurel, B Li, C Zhang, ... arXiv preprint arXiv:1902.10275, 2019 | 3 | 2019 |
| 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, M Simeoni International Biomedical and Astronomical Signal Processing Frontiers, 2017 | 3 | 2017 |
| Method and System to Reduce Noise in Phased-Array Signals From Receivers Located at Different Locations NM Gürel, P Hurley, M Simeoni CH Patent 20,160,057, 2016 | 3 | 2016 |
| A Data Quality-Driven View of MLOps C Renggli, L Rimanic, NM Gürel, B Karlaš, W Wu, C Zhang arXiv preprint arXiv:2102.07750, 2021 | 1 | 2021 |
| Ease. ML: A Lifecycle Management System for Machine Learning L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ... CIDR, 2021 | 1 | 2021 |
| Online Active Model Selection for Pre-trained Classifiers MR Karimi*, NM Gürel*, B Karlaš, J Rausch, C Zhang, A Krause AISTATS, 2021 | 1 | 2021 |
| Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph Y Xie, Z Wang, Y Li, B Ding, NM Gürel, C Zhang, M Huang, W Lin, J Zhou arXiv preprint arXiv:2007.14573, 2020 | 1 | 2020 |
| Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks NM Gürel, X Qi, L Rimanic, C Zhang, B Li arXiv preprint arXiv:2106.06235, 2021 | | 2021 |
| DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition X Miao*, NM Gürel*, W Zhang, Z Han, B Li, W Min, X Rao, H Ren, Y Shan, ... arXiv preprint arXiv:1910.04499, 2020 | | 2020 |
| Reducing noise in phased-array signals from receivers located at different locations NM Guerel, PT Hurley, MMJ Simeoni US Patent App. 16/550,473, 2020 | | 2020 |
| DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, X Rao, H Ren, Y Shan, ... arXiv preprint arXiv:1910.04499, 2019 | | 2019 |
| Determining positions of transducers for receiving and/or transmitting wave signals NM Guerel, PT Hurley, MMJ Simeoni US Patent 10,386,452, 2019 | | 2019 |
| Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications N Merve Gürel, K Kara, A Stojanov, T Smith, T Lemmin, D Alistarh, ... arXiv e-prints, arXiv: 1802.04907, 2018 | | 2018 |
Ce ZhangETH ZurichVerified email at inf.ethz.ch
