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Sergül Aydöre
Sergül Aydöre
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Title
Cited by
Cited by
Year
A note on the phase locking value and its properties
S Aydore, D Pantazis, RM Leahy
Neuroimage 74, 231-244, 2013
3402013
Classification of respiratory signals by linear analysis
S Aydore, I Sen, YP Kahya, MK Mihcak
2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009
722009
Differentially private query release through adaptive projection
S Aydore, W Brown, M Kearns, K Kenthapadi, L Melis, A Roth, AA Siva
International Conference on Machine Learning, 457-467, 2021
592021
Romark: A robust watermarking system using adversarial training
B Wen, S Aydore
arXiv preprint arXiv:1910.01221, 2019
332019
On temporal connectivity of PFC via Gauss-Markov modeling of fNIRS signals
S Aydore, MK Mihcak, K Ciftci, A Akin
IEEE transactions on biomedical engineering 57 (3), 761-768, 2009
262009
A robust variational autoencoder using beta divergence
H Akrami, AA Joshi, J Li, S Aydöre, RM Leahy
Knowledge-based systems 238, 107886, 2022
242022
Adversarial robustness with non-uniform perturbations
E Erdemir, J Bickford, L Melis, S Aydore
Advances in Neural Information Processing Systems 34, 19147-19159, 2021
232021
Brain lesion detection using a robust variational autoencoder and transfer learning
H Akrami, AA Joshi, J Li, S Aydore, RM Leahy
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 786-790, 2020
212020
Robust variational autoencoder
H Akrami, AA Joshi, J Li, S Aydore, RM Leahy
arXiv preprint arXiv:1905.09961, 2019
212019
Dynamic local regret for non-convex online forecasting
S Aydore, T Zhu, DP Foster
Advances in neural information processing systems 32, 2019
142019
DropCluster: A structured dropout for convolutional networks
L Chen, P Gautier, S Aydore
arXiv preprint arXiv:2002.02997, 2020
132020
Private synthetic data for multitask learning and marginal queries
G Vietri, C Archambeau, S Aydore, W Brown, M Kearns, A Roth, A Siva, ...
Advances in Neural Information Processing Systems 35, 18282-18295, 2022
122022
Robust variational autoencoder for tabular data with beta divergence
H Akrami, S Aydore, RM Leahy, AA Joshi
arXiv preprint arXiv:2006.08204, 2020
112020
Feature grouping as a stochastic regularizer for high-dimensional structured data
S Aydore, B Thirion, G Varoquaux
International Conference on Machine Learning, 385-394, 2019
112019
Addressing variance shrinkage in variational autoencoders using quantile regression
H Akrami, AA Joshi, S Aydore, RM Leahy
arXiv preprint arXiv:2010.09042, 2020
72020
Quantile regression for uncertainty estimation in vaes with applications to brain lesion detection
H Akrami, A Joshi, S Aydore, R Leahy
Information Processing in Medical Imaging: 27th International Conference …, 2021
62021
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection
H Akrami, AA Joshi, S Aydöre, RM Leahy
The journal of machine learning for biomedical imaging 1, 2022
52022
Generating distributional adversarial examples to evade statistical detectors
Y Kaya, B Zafar, S Aydore, N Rauschmayr, K Kenthapadi
32022
Using feature grouping as a stochastic regularizer for high-dimensional noisy data
S Aydore, B Thirion, O Grisel, G Varoquaux
Technical Report 1807.11718, arXiv, 2018. URL http://arxiv. org/abs, 1807
31807
A local regret in nonconvex online learning
S Aydore, L Dicker, D Foster
arXiv preprint arXiv:1811.05095, 2018
22018
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Articles 1–20