Nezihe Merve Gürel
Nezihe Merve Gürel
PhD Student, Department of Computer Science
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
382019
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
212019
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
42020
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
32020
Denoising phased-array antenna signals in the presence of extreme noise
NM Gürel
MSc Thesis, EPFL, 2016
32016
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
22019
Denoising radio interferometric images by subspace clustering
NM Gürel, P Hurley, M Simeoni
Image Processing (ICIP), 2017 IEEE International Conference on, 2134-2138, 2017
22017
On Denoising Crosstalk in Radio Interferometry
NM Gürel, P Hurley, M Simeoni
International Biomedical and Astronomical Signal Processing Frontiers, 2017
22017
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
22016
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
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition
X Miao, N Merve Gürel, W Zhang, Z Han, B Li, W Min, X Rao, H Ren, ...
arXiv e-prints, 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
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
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