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
572019
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
322019
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
62020
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
52020
Denoising phased-array antenna signals in the presence of extreme noise
NM Gürel
MSc Thesis, EPFL, 2016
42016
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
32019
Denoising radio interferometric images by subspace clustering
NM Gürel, P Hurley, M Simeoni
Image Processing (ICIP), 2017 IEEE International Conference on, 2134-2138, 2017
32017
On Denoising Crosstalk in Radio Interferometry
NM Gürel, P Hurley, M Simeoni
International Biomedical and Astronomical Signal Processing Frontiers, 2017
32017
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
32016
Online Active Model Selection for Pre-trained Classifiers
MR Karimi*, NM Gürel*, B Karlaš, J Rausch, C Zhang, A Krause
AISTATS, 2021
12021
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
12020
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
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
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
Ease. ML: A Lifecycle Management System for Machine Learning
L Aguilar, D Dao, S Gan, NM Gurel, N Hollenstein, J Jiang, B Karlas, ...
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
The system can't perform the operation now. Try again later.
Articles 1–20