Estimation of time-varying AR SalphaS processes using Gibbs sampling. - Deniz Gençaga; Ercan E. Kuruoglu; Aysin Ertüzün; Sinan Yildirim (Signal Process., 2008)

A hybrid method for deconvolution of Bernoulli-Gaussian processes. - Sinan Yildirim; Ali Taylan Cemgil; Aysin Ertüzün (ICASSP, 2009)

A Bayesian Deconvolution Approach for Receiver Function Analysis. - Sinan Yildirim; Ali Taylan Cemgil; Mustafa Aktar; Yaman Ozakin; Aysin Ertüzün (IEEE Trans. Geosci. Remote. Sens., 2010)

A Monte Carlo expectation maximisation algorithm for multiple target tracking. - Sinan Yildirim; Lan Jiang 002; Sumeetpal S. Singh; Thomas Dean (FUSION, 2012)

A new particle filtering algorithm for multiple target tracking with non-linear observations. - Lan Jiang 002; Sumeetpal S. Singh; Sinan Yildirim (FUSION, 2014)

An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models. - Sinan Yildirim; A. Taylan Cemgil; Sumeetpal S. Singh (CoRR, 2014)

Calibrating the Gaussian multi-target tracking model. - Sinan Yildirim; Lan Jiang 002; Sumeetpal S. Singh; Thomas Dean (Stat. Comput., 2015)

Bayesian Tracking and Parameter Learning for Non-Linear Multiple Target Tracking Models. - Lan Jiang 002; Sumeetpal S. Singh; Sinan Yildirim (IEEE Trans. Signal Process., 2015)

MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Müjdat Çetin; Tolga Tasdizen (CVPR, 2016)

Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Tolga Tasdizen; Müjdat Çetin (CoRR, 2018)

Bayesian Learning for Policy Search in Trajectory Control of a Planar Manipulator. - Vahid Tavakol Aghaei; Arda Agababaoglu; Ahmet Onat; Sinan Yildirim (CCWC, 2019)

Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns. - Ali Taylan Cemgil; Mehmet Burak Kurutmaz; Sinan Yildirim; Melih Barsbey; Umut Simsekli (CoRR, 2019)

Exact MCMC with differentially private moves - Revisiting the penalty algorithm in a data privacy framework. - Sinan Yildirim; Beyza Ermis (Stat. Comput., 2019)

Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Tolga Tasdizen; Müjdat Çetin (IEEE Trans. Image Process., 2019)

Differentially Private Frequency Sketches for Intermittent Queries on Large Data Streams. - Sinan Yildirim; Kamer Kaya; Soner Aydin; Hakan Bugra Erentug (IEEE BigData, 2020)

Learning with Subset Stacking. - S. Ilker Birbil; Sinan Yildirim; Kaya Gokalp; M. Hakan Akyüz (CoRR, 2021)

Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors. - Sinan Yildirim; M. Burak Kurutmaz; Melih Barsbey; Umut Simsekli; A. Taylan Cemgil (IEEE J. Sel. Top. Signal Process., 2021)

Machine learning-based load distribution and balancing in heterogeneous database management systems. - Anes Abdennebi; Anil Elakas; Fatih Tasyaran; Erdinç Öztürk; Kamer Kaya; Sinan Yildirim (Concurr. Comput. Pract. Exp., 2022)

Energy Optimization of Wind Turbines via a Neural Control Policy Based on Reinforcement Learning Markov Chain Monte Carlo Algorithm. - Vahid Tavakol Aghaei; Arda Agababaoglu; Peiman Naseradinmousavi; Sinan Yildirim; Serhat Yesilyurt; Ahmet Onat (CoRR, 2022)

Statistic selection and MCMC for differentially private Bayesian estimation. - Baris Alparslan; Sinan Yildirim (Stat. Comput., 2022)

Differentially Private Accelerated Optimization Algorithms. - Nurdan Kuru; S. Ilker Birbil; Mert Gürbüzbalaban; Sinan Yildirim (SIAM J. Optim., 2022)

Differentially Private Distributed Bayesian Linear Regression with MCMC. - Baris Alparslan; Sinan Yildirim; S. Ilker Birbil (ICML, 2023)

Auxiliary Particle Filtering with Variational Inference for Jump Markov Systems with Unknown Measurement Noise Covariance. - Cheng Cheng; Sinan Yildirim; Jean-Yves Tourneret (EUSIPCO, 2024)

Differential Privacy of Noisy (S)GD under Heavy-Tailed Perturbations. - Umut Simsekli; Mert Gürbüzbalaban; Sinan Yildirim; Lingjiong Zhu (CoRR, 2024)

Adaptive Online Bayesian Estimation of Frequency Distributions with Local Differential Privacy. - Soner Aydin; Sinan Yildirim (CoRR, 2024)

Differentially private online Bayesian estimation with adaptive truncation. - Sinan Yildirim (Turkish J. Electr. Eng. Comput. Sci., 2024)

21st century digital skills of higher education students during Covid-19 - is it possible to enhance digital skills of higher education students through E-Learning? - Mjellma Carabregu-Vokshi; Gokcen Ogruk-Maz; Sinan Yildirim; But Dedaj; Adelina Zeqiri (Educ. Inf. Technol., 2024)

A variational Bayesian marginalized particle filter for jump Markov nonlinear systems with unknown measurement noise parameters. - Cheng Cheng; Jean-Yves Tourneret; Sinan Yildirim (Signal Process., 2025)

Bayesian Frequency Estimation under Local Differential Privacy with an Adaptive Randomized Response Mechanism. - Soner Aydin; Sinan Yildirim (ACM Trans. Knowl. Discov. Data, 2025)

MCMC for Bayesian estimation of Differential Privacy from Membership Inference Attacks. - Ceren Yildirim; Kamer Kaya; Sinan Yildirim; Erkay Savas (CoRR, 2025)