On Temporal Connectivity of PFC Via Gauss - Markov Modeling of fNIRS Signals. - Sergül Aydöre; Mehmet Kivanç Mihçak; R. Koray Çiftçi; Ata Akin (IEEE Trans. Biomed. Eng., 2010)

Phase synchrony in multivariate Gaussian data with applications to cortical networks. - Sergül Aydöre; Dimitrios Pantazis; Richard M. Leahy (ISBI, 2012)

A measure of connectivity in the presence of crosstalk. - Sergül Aydöre; Syed Ashrafulla; Anand A. Joshi; Richard M. Leahy (ACSSC, 2013)

A note on the phase locking value and its properties. - Sergül Aydöre; Dimitrios Pantazis; Richard M. Leahy (NeuroImage, 2013)

Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data. - Sergül Aydöre; Bertrand Thirion; Olivier Grisel; Gaël Varoquaux (CoRR, 2018)

A Local Regret in Nonconvex Online Learning. - Sergül Aydöre; Lee H. Dicker; Dean P. Foster (CoRR, 2018)

Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data. - Sergül Aydöre; Bertrand Thirion; Gaël Varoquaux (ICML, 2019)

Dynamic Local Regret for Non-convex Online Forecasting. - Sergül Aydöre; Tianhao Zhu; Dean P. Foster (NeurIPS, 2019)

Time-Smoothed Gradients for Online Forecasting. - Tianhao Zhu; Sergül Aydöre (CoRR, 2019)

ROMark: A Robust Watermarking System Using Adversarial Training. - Bingyang Wen; Sergül Aydöre (CoRR, 2019)

Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning. - Haleh Akrami; Anand A. Joshi; Jian Li 033; Sergül Aydöre; Richard M. Leahy (ISBI, 2020)

DropCluster: A structured dropout for convolutional networks. - Liyan Chen; Philip Gautier; Sergül Aydöre (CoRR, 2020)

Robust Variational Autoencoder for Tabular Data with Beta Divergence. - Haleh Akrami; Sergül Aydöre; Richard M. Leahy; Anand A. Joshi (CoRR, 2020)

Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression. - Haleh Akrami; Anand A. Joshi; Sergül Aydöre; Richard M. Leahy (CoRR, 2020)

Differentially Private Query Release Through Adaptive Projection. - Sergül Aydöre; William Brown; Michael Kearns; Krishnaram Kenthapadi; Luca Melis; Aaron Roth 001; Amaresh Ankit Siva (ICML, 2021)

Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection. - Haleh Akrami; Anand A. Joshi; Sergül Aydöre; Richard M. Leahy (IPMI, 2021)

Adversarial Robustness with Non-uniform Perturbations. - Ecenaz Erdemir; Jeffrey Bickford; Luca Melis; Sergül Aydöre (NeurIPS, 2021)

Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection. - Haleh Akrami; Anand A. Joshi; Sergül Aydöre; Richard M. Leahy (CoRR, 2021)

Generating Distributional Adversarial Examples to Evade Statistical Detectors. - Yigitcan Kaya; Muhammad Bilal Zafar; Sergül Aydöre; Nathalie Rauschmayr; Krishnaram Kenthapadi (ICML, 2022)

Private Synthetic Data for Multitask Learning and Marginal Queries. - Giuseppe Vietri; Cédric Archambeau; Sergül Aydöre; William Brown; Michael Kearns; Aaron Roth 001; Amaresh Ankit Siva; Shuai Tang; Zhiwei Steven Wu (NeurIPS, 2022)

A robust variational autoencoder using beta divergence. - Haleh Akrami; Anand A. Joshi; Jian Li 033; Sergül Aydöre; Richard M. Leahy (Knowl. Based Syst., 2022)

On the Usefulness of Synthetic Tabular Data Generation. - Dionysis Manousakas; Sergül Aydöre (CoRR, 2023)

Beta Quantile Regression for Robust Estimation of Uncertainty in the Presence of Outliers. - Haleh Akrami; Omar Zamzam; Anand A. Joshi; Sergül Aydöre; Richard M. Leahy (ICASSP, 2024)

Membership Inference Attacks on Diffusion Models via Quantile Regression. - Shuai Tang; Steven Wu 001; Sergül Aydöre; Michael Kearns; Aaron Roth 001 (ICML, 2024)

Improved Differentially Private Regression via Gradient Boosting. - Shuai Tang; Sergül Aydöre; Michael Kearns; Saeyoung Rho; Aaron Roth 001; Yichen Wang; Yu-Xiang Wang 003; Zhiwei Steven Wu (SaTML, 2024)

Language-Model Prior Overcomes Cold-Start Items. - Shiyu Wang; Hao Ding; Yupeng Gu; Sergül Aydöre; Kousha Kalantari; Branislav Kveton (CoRR, 2024)

Benchmarking Query-Conditioned Natural Language Inference. - Marc E. Canby; Xinchi Chen; Xing Niu 001; Jifan Chen; Bonan Min; Sergül Aydöre; Vittorio Castelli (ACL (Findings), 2025)

Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation. - Tobias Leemann; Periklis Petridis; Giuseppe Vietri; Dionysis Manousakas; Aaron Roth 001; Sergül Aydöre (ICLR, 2025)