Blind separation of disjoint orthogonal signals: demixing N sources from 2 mixtures. - Alexander Jourjine; Scott Rickard; Özgür Yilmaz (ICASSP, 2000)

On the approximate W-disjoint orthogonality of speech. - Scott Rickard; Özgür Yilmaz (ICASSP, 2002)

Sigma-delta quantization and finite frames. - John J. Benedetto; Özgür Yilmaz; Alexander M. Powell (ICASSP (3), 2004)

Blind separation of speech mixtures via time-frequency masking. - Özgür Yilmaz; Scott Rickard (IEEE Trans. Signal Process., 2004)

On Coarse Quantization of Tight Gabor Frame Expansions. - Özgür Yilmaz (Int. J. Wavelets Multiresolution Inf. Process., 2005)

Causes of Ineradicable Spurious Predictions in Qualitative Simulation. - Özgür Yilmaz; A. C. Cem Say (J. Artif. Intell. Res., 2006)

Sigma-delta (ΣΔ) quantization and finite frames. - John J. Benedetto; Alexander M. Powell; Özgür Yilmaz (IEEE Trans. Inf. Theory, 2006)

Robust and Practical Analog-to-Digital Conversion With Exponential Precision. - Ingrid Daubechies; Özgür Yilmaz (IEEE Trans. Inf. Theory, 2006)

Underdetermined Anechoic Blind Source Separation via ellq-Basis-Pursuit With q<<1. - Rayan Saab; Özgür Yilmaz; Martin J. McKeown; Rafeef Abugharbieh (IEEE Trans. Signal Process., 2007)

Inhibitory surround and grouping effects in human and computational multiple object tracking. - Özgür Yilmaz; Sadiye Guler; Haluk Ögmen (Human Vision and Electronic Imaging, 2008)

Stable sparse approximations via nonconvex optimization. - Rayan Saab; Rick Chartrand; Özgür Yilmaz (ICASSP, 2008)

Sparse Recovery by Non-convex Optimization – Instance Optimality - Rayan Saab; Özgür Yilmaz (CoRR, 2008)

Utility representation of lower separable preferences. - Özgür Yilmaz (Math. Soc. Sci., 2008)

Random assignment under weak preferences. - Özgür Yilmaz (Games Econ. Behav., 2009)

Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction. - Ewout van den Berg; Michael P. Friedlander; Gilles Hennenfent; Felix J. Herrmann; Rayan Saab; Özgür Yilmaz (ACM Trans. Math. Softw., 2009)

Sobolev duals of random frames. - C. Sinan Güntürk; Mark Lammers; Alexander M. Powell; Rayan Saab; Özgür Yilmaz (CISS, 2010)

Sigma delta quantization for compressed sensing. - C. Sinan Güntürk; Mark Lammers; Alexander M. Powell; Rayan Saab; Özgür Yilmaz (CISS, 2010)

Alternative dual frames for digital-to-analog conversion in sigma-delta quantization. - Mark Lammers; Alexander M. Powell; Özgür Yilmaz (Adv. Comput. Math., 2010)

Sobolev Duals for Random Frames and Sigma-Delta Quantization of Compressed Sensing Measurements - C. Sinan Güntürk; Alexander M. Powell; Rayan Saab; Özgür Yilmaz (CoRR, 2010)

The probabilistic serial mechanism with private endowments. - Özgür Yilmaz (Games Econ. Behav., 2010)

The golden ratio encoder. - Ingrid Daubechies; C. Sinan Güntürk; Yang Wang 020; Özgür Yilmaz (IEEE Trans. Inf. Theory, 2010)

Kidney exchange: An egalitarian mechanism. - Özgür Yilmaz (J. Econ. Theory, 2011)

A Mixed Learning Approach in Mechatronics Education. - Özgür Yilmaz; Koray Tunçalp (IEEE Trans. Educ., 2011)

Support driven reweighted ℓ1 minimization. - Hassan Mansour; Özgür Yilmaz (ICASSP, 2012)

Adaptive compressed sensing for video acquisition. - Hassan Mansour; Özgür Yilmaz (ICASSP, 2012)

Weighted-ℓ1 minimization with multiple weighting sets - Hassan Mansour; Özgür Yilmaz (CoRR, 2012)

Support driven reweighted ℓ1 minimization - Hassan Mansour; Özgür Yilmaz (CoRR, 2012)

Oscillatory synchronization model of attention to moving objects. - Özgür Yilmaz (Neural Networks, 2012)

Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology. - Felix J. Herrmann; Michael P. Friedlander; Özgür Yilmaz (IEEE Signal Process. Mag., 2012)

Recovering Compressively Sampled Signals Using Partial Support Information. - Michael P. Friedlander; Hassan Mansour; Rayan Saab; Özgür Yilmaz (IEEE Trans. Inf. Theory, 2012)

A sparse randomized Kaczmarz algorithm. - Hassan Mansour; Özgür Yilmaz (GlobalSIP, 2013)

Non-Convex Compressed Sensing Using Partial Support Information. - Navid Ghadermarzy; Hassan Mansour; Özgür Yilmaz (CoRR, 2013)

Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing. - Felix Krahmer; Rayan Saab; Özgür Yilmaz (CoRR, 2013)

A fast randomized Kaczmarz algorithm for sparse solutions of consistent linear systems - Hassan Mansour; Özgür Yilmaz (CoRR, 2013)

Sobolev Duals for Random Frames and ΣΔ Quantization of Compressed Sensing Measurements. - C. Sinan Güntürk; Mark Lammers; Alexander M. Powell; Rayan Saab; Özgür Yilmaz (Found. Comput. Math., 2013)

Reservoir Computing using Cellular Automata. - Özgür Yilmaz (CoRR, 2014)

Detection and localization of specular surfaces using image motion cues. - Özgür Yilmaz; Katja Doerschner (Mach. Vis. Appl., 2014)

Near-Optimal Compression for Compressed Sensing. - Rayan Saab; Rongrong Wang; Özgür Yilmaz (DCC, 2015)

Classification of Occluded Objects Using Fast Recurrent Processing. - Özgür Yilmaz (ICMLA, 2015)

Analogy Making and Logical Inferences on Images using Cellular Automata based Hyperdimensional Computing. - Özgür Yilmaz (CoCo@NIPS, 2015)

Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems. - Evan Chou; C. Sinan Güntürk; Felix Krahmer; Rayan Saab; Özgür Yilmaz (CoRR, 2015)

Sparse regression with highly correlated predictors. - Behrooz Ghorbani; Özgür Yilmaz (CoRR, 2015)

Quantization of compressive samples with stable and robust recovery. - Rayan Saab; Rongrong Wang; Özgür Yilmaz (CoRR, 2015)

Connectionist-Symbolic Machine Intelligence using Cellular Automata based Reservoir-Hyperdimensional Computing. - Özgür Yilmaz (CoRR, 2015)

Machine Learning Using Cellular Automata Based Feature Expansion and Reservoir Computing. - Özgür Yilmaz (J. Cell. Autom., 2015)

Symbolic Computation Using Cellular Automata-Based Hyperdimensional Computing. - Özgür Yilmaz (Neural Comput., 2015)

How Much Computation and Distributedness is Needed in Sequence Learning Tasks? - Mrwan Margem; Özgür Yilmaz (AGI, 2016)

A Proposal for Common Dataset in Neural-Symbolic Reasoning Studies. - Özgür Yilmaz; Artur S. d'Avila Garcez; Daniel L. Silver (NeSy@HLAI, 2016)

Camera aided navigation for the visually impaired. - Kadir Isik; Erol Taskin; M. Fatih Unal; Özgür Yilmaz; Muhammet Bastan (SIU, 2016)

3D modeling of a scene with an autonomous robot. - Sezai Furkan Pur; Mahmut Kasap; Özgür Yilmaz (SIU, 2016)

Phase-sensitive reconstruction for fat-water separation in multi-coil acquisitions. - Özgür Yilmaz; Emine Ulku Saritas; Tolga Çukur (SIU, 2016)

Multi-View Product Image Search Using ConvNets Features. - Muhammet Bastan; Özgür Yilmaz (CoRR, 2016)

U-CATCH: Using Color ATtribute of image patCHes in binary descriptors. - Özgür Yilmaz; Alisher Abdulkhaev (CoRR, 2016)

Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction. - Oscar López; Rajiv Kumar 003; Özgür Yilmaz; Felix J. Herrmann (IEEE J. Sel. Top. Signal Process., 2016)

Near-optimal sample complexity for convex tensor completion. - Navid Ghadermarzy; Yaniv Plan; Özgür Yilmaz (CoRR, 2017)

Memoryless scalar quantization for random frames. - Kateryna Melnykova; Özgür Yilmaz (CoRR, 2018)

Parameter instability regimes for sparse proximal denoising programs. - Aaron Berk; Yaniv Plan; Özgür Yilmaz (CoRR, 2018)

Multi-View Product Image Search with Deep ConvNets Representations. - Muhammet Bastan; Özgür Yilmaz (Int. J. Artif. Intell. Tools, 2018)

Impact of Kinect Game on Primary School Students' Mental Computation Speed. - Özgür Yilmaz; Duygu Mutlu Bayraktar (Int. J. Game Based Learn., 2018)

How (not) to integrate blood subtyping technology to kidney exchange. - Tayfun Sönmez; M. Utku Ünver; Özgür Yilmaz (J. Econ. Theory, 2018)

From Compressed Sensing to Compressed Bit-Streams: Practical Encoders, Tractable Decoders. - Rayan Saab; Rongrong Wang; Özgür Yilmaz (IEEE Trans. Inf. Theory, 2018)

RIP constants for deterministic compressed sensing matrices-beyond Gershgorin. - Arman Arian; Özgür Yilmaz (CoRR, 2019)

Deterministic partial binary circulant compressed sensing matrices. - Arman Arian; Özgür Yilmaz (CoRR, 2019)

On one-stage recovery for ΣΔ-quantized compressed sensing. - Arman Arian; Özgür Yilmaz (CoRR, 2019)

Spatially informed voxelwise modeling for naturalistic fMRI experiments. - Emin Çelik; Salman Ul Hassan Dar; Özgür Yilmaz; Ümit Keles; Tolga Çukur (NeuroImage, 2019)

Learning Tensors From Partial Binary Measurements. - Navid Ghadermarzy; Yaniv Plan; Özgür Yilmaz (IEEE Trans. Signal Process., 2019)

Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications. - Halyun Jeong; Xiaowei Li 008; Yaniv Plan; Özgür Yilmaz (CoRR, 2020)

Machine learning algorithm for grading open-ended physics questions in Turkish. - Ayse Çinar; Elif Ince; Murat Gezer; Özgür Yilmaz (Educ. Inf. Technol., 2020)

PLUGIn: A simple algorithm for inverting generative models with recovery guarantees. - Babhru Joshi; Xiaowei Li 008; Yaniv Plan; Özgür Yilmaz (NeurIPS, 2021)

Learning from few examples: Classifying sex from retinal images via deep learning. - Aaron Berk; Gulcenur Ozturan; Parsa Delavari; David Maberley; Özgür Yilmaz; Ipek Oruc (CoRR, 2022)

Embracing Off-the-Grid Samples. - Oscar López; Özgür Yilmaz (CoRR, 2022)

On the Best Choice of Lasso Program Given Data Parameters. - Aaron Berk; Yaniv Plan; Özgür Yilmaz (IEEE Trans. Inf. Theory, 2022)

NBIHT: An Efficient Algorithm for 1-Bit Compressed Sensing With Optimal Error Decay Rate. - Michael P. Friedlander; Halyun Jeong; Yaniv Plan; Özgür Yilmaz (IEEE Trans. Inf. Theory, 2022)

A Coherence Parameter Characterizing Generative Compressed Sensing With Fourier Measurements. - Aaron Berk; Simone Brugiapaglia; Babhru Joshi; Yaniv Plan; Matthew Scott 003; Özgür Yilmaz (IEEE J. Sel. Areas Inf. Theory, 2022)

Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images. - Parsa Delavari; Gulcenur Ozturan; Özgür Yilmaz; Ipek Oruc (CoRR, 2023)

Model-adapted Fourier sampling for generative compressed sensing. - Aaron Berk; Simone Brugiapaglia; Yaniv Plan; Matthew Scott 003; Xia Sheng; Özgür Yilmaz (CoRR, 2023)

New models developed for detection of misconceptions in physics with artificial intelligence. - Mustafa Umut Demirezen; Özgür Yilmaz; Elif Ince (Neural Comput. Appl., 2023)

Denoising guarantees for optimized sampling schemes in compressed sensing. - Yaniv Plan; Matthew Scott 003; Xia Sheng; Özgür Yilmaz (CoRR, 2025)