Sergül Aydöre

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 26

Top Topics

Quantile Regression

Diffusion Models

Robust Watermarking

Top Venues

Publications

Haleh Akrami, Omar Zamzam, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Beta Quantile Regression for Robust Estimation of Uncertainty in the Presence of Outliers. ICASSP (2024)
Shuai Tang, Sergül Aydöre, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Zhiwei Steven Wu
Improved Differentially Private Regression via Gradient Boosting. SaTML (2024)
Dionysis Manousakas, Sergül Aydöre
On the Usefulness of Synthetic Tabular Data Generation. CoRR (2023)
Haleh Akrami, Omar Zamzam, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Beta quantile regression for robust estimation of uncertainty in the presence of outliers. CoRR (2023)
Shuai Tang, Sergül Aydöre, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Zhiwei Steven Wu
Improved Differentially Private Regression via Gradient Boosting. CoRR (2023)
Shuai Tang, Zhiwei Steven Wu, Sergül Aydöre, Michael Kearns, Aaron Roth
Membership Inference Attacks on Diffusion Models via Quantile Regression. CoRR (2023)
Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy
A robust variational autoencoder using beta divergence. Knowl. Based Syst. 238 (2022)
Giuseppe Vietri, Cédric Archambeau, Sergül Aydöre, William Brown, Michael Kearns, Aaron Roth, Amaresh Ankit Siva, Shuai Tang, Zhiwei Steven Wu
Private Synthetic Data for Multitask Learning and Marginal Queries. NeurIPS (2022)
Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi
Generating Distributional Adversarial Examples to Evade Statistical Detectors. ICML (2022)
Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit A. Siva
Differentially Private Query Release Through Adaptive Projection. ICML (2021)
Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection. IPMI (2021)
Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergül Aydöre
Adversarial Robustness with Non-uniform Perturbations. CoRR (2021)
Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit A. Siva
Differentially Private Query Release Through Adaptive Projection. CoRR (2021)
Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection. CoRR (2021)
Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergül Aydöre
Adversarial Robustness with Non-uniform Perturbations. NeurIPS (2021)
Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy
Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning. ISBI (2020)
Liyan Chen, Philip Gautier, Sergül Aydöre
DropCluster: A structured dropout for convolutional networks. CoRR (2020)
Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression. CoRR (2020)
Haleh Akrami, Sergül Aydöre, Richard M. Leahy, Anand A. Joshi
Robust Variational Autoencoder for Tabular Data with Beta Divergence. CoRR (2020)
Sergül Aydöre, Tianhao Zhu, Dean P. Foster
Dynamic Local Regret for Non-convex Online Forecasting. CoRR (2019)
Sergül Aydöre, Bertrand Thirion, Gaël Varoquaux
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data. ICML (2019)
Bingyang Wen, Sergül Aydöre
ROMark: A Robust Watermarking System Using Adversarial Training. CoRR (2019)
Tianhao Zhu, Sergül Aydöre
Time-Smoothed Gradients for Online Forecasting. CoRR (2019)
Sergül Aydöre, Tianhao Zhu, Dean P. Foster
Dynamic Local Regret for Non-convex Online Forecasting. NeurIPS (2019)
Sergül Aydöre, Lee H. Dicker, Dean P. Foster
A Local Regret in Nonconvex Online Learning. CoRR (2018)
Sergül Aydöre, Bertrand Thirion, Olivier Grisel, Gaël Varoquaux
Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data. CoRR (2018)
Sergül Aydöre, Dimitrios Pantazis, Richard M. Leahy
A note on the phase locking value and its properties. NeuroImage 74 (2013)
Sergül Aydöre, Syed Ashrafulla, Anand A. Joshi, Richard M. Leahy
A measure of connectivity in the presence of crosstalk. ACSSC (2013)
Sergül Aydöre, Dimitrios Pantazis, Richard M. Leahy
Phase synchrony in multivariate Gaussian data with applications to cortical networks. ISBI (2012)
Sergül Aydöre, Mehmet Kivanç Mihçak, R. Koray Çiftçi, Ata Akin
On Temporal Connectivity of PFC Via Gauss - Markov Modeling of fNIRS Signals. IEEE Trans. Biomed. Eng. 57 (3) (2010)