Prati
Sergül Aydöre
Sergül Aydöre
Amazon Web Services
Potvrđena adresa e-pošte na amazon.com - Početna stranica
Naslov
Citirano
Citirano
Godina
A note on the phase locking value and its properties
S Aydore, D Pantazis, RM Leahy
Neuroimage 74, 231-244, 2013
3432013
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
712009
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
632021
Romark: A robust watermarking system using adversarial training
B Wen, S Aydore
arXiv preprint arXiv:1910.01221, 2019
382019
A robust variational autoencoder using beta divergence
H Akrami, AA Joshi, J Li, S Aydöre, RM Leahy
Knowledge-based systems 238, 107886, 2022
292022
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
Adversarial robustness with non-uniform perturbations
E Erdemir, J Bickford, L Melis, S Aydore
Advances in Neural Information Processing Systems 34, 19147-19159, 2021
242021
Robust variational autoencoder
H Akrami, AA Joshi, J Li, S Aydore, RM Leahy
arXiv preprint arXiv:1905.09961, 2019
242019
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
222020
Dynamic local regret for non-convex online forecasting
S Aydore, T Zhu, DP Foster
Advances in neural information processing systems 32, 2019
162019
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
142022
Robust variational autoencoder for tabular data with beta divergence
H Akrami, S Aydore, RM Leahy, AA Joshi
arXiv preprint arXiv:2006.08204, 2020
122020
Dropcluster: A structured dropout for convolutional networks
L Chen, P Gautier, S Aydore
arXiv preprint arXiv:2002.02997, 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
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
Addressing variance shrinkage in variational autoencoders using quantile regression
H Akrami, AA Joshi, S Aydore, RM Leahy
arXiv preprint arXiv:2010.09042, 2020
62020
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
42022
Improved differentially private regression via gradient boosting
S Tang, S Aydore, M Kearns, S Rho, A Roth, Y Wang, YX Wang, ZS Wu
arXiv preprint arXiv:2303.03451, 2023
32023
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
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