Sergül Aydöre

According to our database, Sergül Aydöre authored at least 27 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Language-Model Prior Overcomes Cold-Start Items.

Shiyu Wang, Hao Ding, Yupeng Gu, Sergül Aydöre, Kousha Kalantari, Branislav Kveton

CoRR, 2024

Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation.

Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergül Aydöre

CoRR, 2024

Improved Differentially Private Regression via Gradient Boosting.

Shuai Tang, Sergül Aydöre, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Zhiwei Steven Wu

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Membership Inference Attacks on Diffusion Models via Quantile Regression.

Shuai Tang, Steven Wu, Sergül Aydöre, Michael Kearns, Aaron Roth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

On the Usefulness of Synthetic Tabular Data Generation.

Dionysis Manousakas, Sergül Aydöre

CoRR, 2023

2022

A robust variational autoencoder using beta divergence.

Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy

Knowl. Based Syst., 2022

Private Synthetic Data for Multitask Learning and Marginal Queries.

Giuseppe Vietri, Cédric Archambeau, Sergül Aydöre, William Brown, Michael Kearns, Aaron Roth, Amaresh Ankit Siva, Shuai Tang, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generating Distributional Adversarial Examples to Evade Statistical Detectors.

Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi

Proceedings of the International Conference on Machine Learning, 2022

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

Adversarial Robustness with Non-uniform Perturbations.

Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergül Aydöre

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection.

Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy

Proceedings of the Information Processing in Medical Imaging, 2021

Differentially Private Query Release Through Adaptive Projection.

Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression.

Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy

CoRR, 2020

Robust Variational Autoencoder for Tabular Data with Beta Divergence.

Haleh Akrami, Sergül Aydöre, Richard M. Leahy, Anand A. Joshi

CoRR, 2020

DropCluster: A structured dropout for convolutional networks.

Liyan Chen, Philip Gautier, Sergül Aydöre

CoRR, 2020

Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning.

Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

ROMark: A Robust Watermarking System Using Adversarial Training.

Bingyang Wen, Sergül Aydöre

CoRR, 2019

Time-Smoothed Gradients for Online Forecasting.

Tianhao Zhu, Sergül Aydöre

CoRR, 2019

Dynamic Local Regret for Non-convex Online Forecasting.

Sergül Aydöre, Tianhao Zhu, Dean P. Foster

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data.

Sergül Aydöre, Bertrand Thirion, Gaël Varoquaux

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

A Local Regret in Nonconvex Online Learning.

Sergül Aydöre, Lee H. Dicker, Dean P. Foster

CoRR, 2018

Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data.

Sergül Aydöre, Bertrand Thirion, Olivier Grisel, Gaël Varoquaux

CoRR, 2018

2013

A note on the phase locking value and its properties.

Sergül Aydöre, Dimitrios Pantazis, Richard M. Leahy

NeuroImage, 2013

A measure of connectivity in the presence of crosstalk.

Sergül Aydöre, Syed Ashrafulla, Anand A. Joshi, Richard M. Leahy

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Phase synchrony in multivariate Gaussian data with applications to cortical networks.

Sergül Aydöre, Dimitrios Pantazis, Richard M. Leahy

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2010

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