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 | 47 | 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 | 24 | 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 | 6* | 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 | 4 | 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 | 3 | 2020 |
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 phased-array antenna signals in the presence of extreme noise NM Gürel MSc Thesis, EPFL, 2016 | 3 | 2016 |
Denoising radio interferometric images by subspace clustering NM Gürel, P Hurley, M Simeoni Image Processing (ICIP), 2017 IEEE International Conference on, 2134-2138, 2017 | 2 | 2017 |
On Denoising Crosstalk in Radio Interferometry NM Gürel, P Hurley, M Simeoni International Biomedical and Astronomical Signal Processing Frontiers, 2017 | 2 | 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 | 2 | 2016 |
Online Active Model Selection for Pre-trained Classifiers MR Karimi*, NM Gürel*, B Karlaš, J Rausch, C Zhang, A Krause arXiv preprint arXiv:2010.09818, 2020 | | 2020 |
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 | | 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, 2020 | | 2020 |
Reducing noise in phased-array signals from receivers located at different locations NM Guerel, PT Hurley, MMJA Simeoni US Patent App. 16/550,473, 2020 | | 2020 |
Determining positions of transducers for receiving and/or transmitting wave signals NM Guerel, PT Hurley, MMJ Simeoni US Patent 10,386,452, 2019 | | 2019 |
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, S Rao, H Ren, Y Shan, ... arXiv, 2019 | | 2019 |
Towards More Accurate Radio Telescope Images NM Gürel, P Hurley, M Simeoni The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018 | | 2018 |
MA. L1: VIDEO CODING I PIOF HEVC | | 2017 |
Determining Positions of Transducers for Receiving and/or Transmitting Wave Signals M Simeoni, P Hurley, NM Gürel CH Patent 920,170,013, 2017 | | 2017 |
On the Multi-Round Group-Broadcast Scheme in Collocated Gaussian Networks NM Gürel | | 2014 |