Follow
Nezihe Merve Gürel
Nezihe Merve Gürel
ETH Zurich
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
1732019
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
712019
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
Deep Learning on Graphs, AAAI, 2020
20*2020
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
162021
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
Proceedings of the VLDB Endowment, 2020
142020
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
12*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
10*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
10*2020
Online Active Model Selection for Pre-trained Classifiers
MR Karimi*, NM Gürel*, B Karlaš, J Rausch, C Zhang, A Krause
AISTATS, 2021
52021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
NM Gürel, X Qi, L Rimanic, C Zhang, B Li
ICML, 2021
32021
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
METHOD AND SYSTEM TO REDUCE NOISE IN PHASED-ARRAY SIGNALS FROM RECEIVERS LOCATED AT DIFFERENT LOCATIONS
NM Gurel, P Hurley, MMJA Simeoni
32017
On Denoising Crosstalk in Radio Interferometry
NM Gürel, P Hurley, M Simeoni
International Biomedical and Astronomical Signal Processing Frontiers, 2017
32017
Reducing noise in phased-array signals from receivers located at different locations
NM Guerel, PT Hurley, MMJA Simeoni
US Patent 10,396,456, 2019
12019
Determining positions of transducers for receiving and/or transmitting wave signals
NM Guerel, PT Hurley, MMJ Simeoni
US Patent 10,386,452, 2019
12019
Determining positions of transducers for receiving and/or transmitting wave signals
NM Guerel, PT Hurley, MMJ Simeoni
US Patent 10,386,452, 2019
12019
Advancing Cost Efficiency and Robustness of Machine Learning through the Lens of Data
NM Gürel
ETH Zurich, 2022
2022
Reducing noise in phased-array signals from receivers located at different locations
NM Guerel, PT Hurley, MMJA Simeoni
US Patent 11,145,974, 2021
2021
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
2019
Towards More Accurate Radio Telescope Images
NM Gürel, P Hurley, M Simeoni
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–20