Trainees at the time of the work are marked with a dagger (†).
Authors are generally listed alphabetically unless contribution dictates otherwise.
For citation counts see
Google Scholar.
Complete record: CV (PDF).
Books & Chapters
Edited Book
M. Hirn, S. Li, K. Okoudjou, S. Saliani, O. Yilmaz (Eds.). Excursions in Harmonic Analysis, Vol. VI — In Honor of John Benedetto's 80th Birthday. Birkhäuser Basel, 2021. [DOI]
Book Chapters
A. Dunkel, A. Powell, A. Spaeth, O. Yilmaz. "Quantization, finite frames, and error diffusion." In K. Okoudjou (Ed.), Finite Frame Theory, AMS Proc. Symposia in Applied Mathematics, Vol. 73, pp. 143–174 (2016). [arXiv] [DOI]
E. Chou, S. Gunturk, F. Krahmer, R. Saab†, O. Yilmaz. "Noise-shaping quantization methods for frame-based and compressive sampling systems." In G. Pfander (Ed.), Sampling Theory, A Renaissance, pp. 157–184. Birkhäuser, 2015. [DOI]
A. Powell, R. Saab†, O. Yilmaz. "Quantization and finite frames." In P. Casazza and G. Kutyniok (Eds.), Finite Frames: Theory and Applications, pp. 267–302. Birkhäuser, 2012. [DOI]
Journal Articles
2026
Y. Plan, M. Scott†, X. Sheng†, O. Yilmaz. "Denoising guarantees for optimized sampling schemes in compressed sensing." SIAM Journal on Mathematics of Data Science (SIMODS). Accepted, 2026. [arXiv]
2025
P. Delavari, G. Ozturan†, E. Navajas, O. Yilmaz, I. Oruc. "AI-assisted identification of sex-specific patterns in diabetic retinopathy using retinal fundus images." PLoS One 20(8): e0327305 (2025). [DOI]
2023
P. Delavari, G. Ozturan†, O. Yilmaz, I. Oruc. "Artificial intelligence, explainability, and the scientific method: A proof-of-concept study on novel retinal biomarker discovery." PNAS Nexus 2(9): 1–14 (2023). [arXiv] [DOI]
O. Lopez, O. Yilmaz. "Embracing off-the-grid samples." Sampling Theory, Signal Processing, and Data Analysis 21, 26 (2023): 1–35. [arXiv] [DOI]
A. Berk, G. Ozturan†, P. Delavari, D. Maberley, O. Yilmaz, I. Oruc. "Learning from few examples: Classifying sex from retinal images via deep learning." PLoS One 18(8): e0289211 (2023). [arXiv] [DOI]
2022
A. Berk, S. Brugiapaglia, B. Joshi†, Y. Plan, M. Scott†, O. Yilmaz. "A coherence parameter characterizing generative compressed sensing with Fourier measurements." IEEE Journal on Selected Areas in Information Theory 3(3): 502–512 (2022). [arXiv] [DOI]
A. Berk, Y. Plan, O. Yilmaz. "On the best choice of LASSO program given data parameters." IEEE Transactions on Information Theory 68(4): 2573–2603 (2022). [arXiv] [DOI]
M. Friedlander, H. Jeong†, Y. Plan, O. Yilmaz. "NBIHT: An efficient algorithm for 1-bit compressed sensing with optimal error decay rate." IEEE Transactions on Information Theory 68(2): 1157–1177 (2022). [arXiv] [DOI]
H. Jeong†, X. Li†, Y. Plan, O. Yilmaz. "Sub-Gaussian matrices on sets: optimal tail dependence and applications." Communications on Pure and Applied Mathematics 75(8): 1713–1754 (2022). [arXiv] [DOI]
2021
K. Melnykova†, O. Yilmaz. "Memoryless scalar quantization for random frames." Sampling Theory, Signal Processing, and Data Analysis 19, Article 12 (2021). [arXiv] [DOI]
A. Berk, Y. Plan, O. Yilmaz. "Sensitivity of ℓ1 minimization to parameter choice." Information and Inference 10(2): 397–453 (2021). [arXiv] [DOI]
2019
N. Ghadermarzy†, Y. Plan, O. Yilmaz. "Learning tensors from partial binary measurements." IEEE Transactions on Signal Processing 67(1): 29–40 (2019). [arXiv] [DOI]
N. Ghadermarzy†, Y. Plan, O. Yilmaz. "Near-optimal sample complexity for convex tensor completion." Information and Inference 8(3): 577–619 (2019). [arXiv] [DOI]
2018
R. Saab†, R. Wang†, O. Yilmaz. "From compressed sensing to compressed bit-streams: practical encoders, tractable decoders." IEEE Transactions on Information Theory 64(9): 6098–6114 (2018). [arXiv] [DOI]
R. Saab†, R. Wang†, O. Yilmaz. "Quantization of compressive samples with stable and robust recovery." Applied and Computational Harmonic Analysis 44(1): 123–143 (2018). [arXiv] [DOI]
2016
O. Lopez†, R. Kumar, O. Yilmaz, F. Herrmann. "Off-the-grid low rank matrix recovery and seismic data reconstruction." IEEE Journal of Selected Topics in Signal Processing 10(4): 658–671 (2016). [DOI]
2014
N. Ghadermarzy†, H. Mansour†, O. Yilmaz. "Recovery of compressively sampled signals using partial support information via non-convex optimization." Journal of Sampling Theory in Signal and Image Processing 13(3): 249–270 (2014). [arXiv]
F. Krahmer, R. Saab†, O. Yilmaz. "Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing." Information and Inference 3(1): 40–58 (2014). [arXiv] [DOI]
2013
H. Mansour†, F. Herrmann, O. Yilmaz. "Improved wavefield reconstruction from randomized sampling via weighted one-norm minimization." Geophysics 78(5): V193–V206 (2013). [DOI]
S. Gunturk, M. Lammers, A. Powell, R. Saab†, O. Yilmaz. "Sobolev duals for random frames and sigma-delta quantization of compressed sensing measurements." Foundations of Computational Mathematics 13(1): 1–36 (2013). [arXiv] [DOI]
Y. Wang, O. Yilmaz, Z. Zhou. "Phase aliasing correction for robust blind source separation using DUET." Applied and Computational Harmonic Analysis 35(2): 341–349 (2013). [DOI]
2012
F. Herrmann, M. Friedlander, O. Yilmaz. "Fighting the curse of dimensionality: compressive sensing in exploration seismology." IEEE Signal Processing Magazine 29(3): 88–100 (2012). [DOI]
M. Friedlander, H. Mansour†, R. Saab†, O. Yilmaz. "Recovery of compressively sampled signals using partial support information." IEEE Transactions on Information Theory 58(2): 1122–1134 (2012). [arXiv] [DOI]
A. M. Powell, J. Tanner, Y. Wang, O. Yilmaz. "Coarse quantization for random interleaved sampling of bandlimited signals." ESAIM Mathematical Modelling and Numerical Analysis 46(03): 605–618 (2012). [DOI]
2010
I. Daubechies, S. Gunturk, Y. Wang, O. Yilmaz. "The golden ratio encoder." IEEE Transactions on Information Theory 56(10): 5097–5110 (2010). [arXiv] [DOI]
R. Saab†, O. Yilmaz. "Sparse approximations via non-convex optimization — instance optimality." Applied and Computational Harmonic Analysis 29(1): 20–48 (2010). [arXiv] [DOI]
J. Blum, M. Lammers, A. Powell, O. Yilmaz. "Sobolev duals for frames and sigma-delta quantization." Journal of Fourier Analysis and Applications 16(3): 365–381 (2010). [DOI]
M. Lammers, A. Powell, O. Yilmaz. "Alternative dual frames for digital-to-analog conversion in sigma-delta quantization." Advances in Computational Mathematics 32(1): 73–102 (2010). [DOI]
2009
E. van den Berg, M. P. Friedlander, G. Hennenfent, F. Herrmann, R. Saab†, O. Yilmaz. "SPARCO: A toolbox for testing sparse reconstruction algorithms." ACM Transactions on Mathematical Software 35(4): 1–16 (2009). [DOI]
2008
D. Wang, R. Saab†, O. Yilmaz, F. J. Herrmann. "Bayesian wavefield separation by transform-domain sparsity promotion." Geophysics 73(5): 1–6 (2008). [DOI]
2007
R. Saab†, O. Yilmaz, M. McKeown, R. Abugharbieh. "Underdetermined anechoic blind source separation via lq-basis-pursuit." IEEE Transactions on Signal Processing 55(8): 4004–4017 (2007). [DOI]
2006
I. Daubechies, O. Yilmaz. "Robust and practical analog-to-digital conversion with exponential precision." IEEE Transactions on Information Theory 52(8): 3533–3545 (2006). [DOI]
J. Benedetto, A. Powell, O. Yilmaz. "Sigma-Delta quantization and finite frames." IEEE Transactions on Information Theory 52(5): 1990–2005 (2006). [DOI]
J. Benedetto, A. Powell, O. Yilmaz. "Second-order Sigma-Delta quantization of finite frame expansions." Applied and Computational Harmonic Analysis 20(1): 126–148 (2006). [DOI]
2005
O. Yilmaz. "On coarse quantization of tight Gabor frame expansions." International Journal of Wavelets, Multiresolution and Information Processing 3(2): 283–299 (2005). [DOI]
2004
O. Yilmaz, S. Rickard. "Blind separation of speech mixtures via time-frequency masking." IEEE Transactions on Signal Processing 52(7): 1830–1847 (2004). [DOI]
2003
O. Yilmaz. "Coarse quantization of highly redundant time-frequency representations of square-integrable functions." Applied and Computational Harmonic Analysis 14(2): 107–132 (2003). [DOI]
2002
O. Yilmaz. "Stability analysis for several sigma-delta methods of coarse quantization of bandlimited functions." Constructive Approximation 18(4): 599–623 (2002). [DOI]
Submitted & In Progress
Y. Plan, M. Scott†, O. Yilmaz. "Partially deterministic sampling for compressed sensing with denoising guarantees." Submitted to Information and Inference, March 2026. [arXiv]
Y. Plan, M. Scott†, O. Yilmaz. "Less restrictive generative models for compressive sampling." In preparation.
I. Oruc, O. Yilmaz. "Improving visualization algorithms for post hoc interpretability of Deep Neural Networks." In preparation.
G. Ozturan†, S. Yeung, O. Yilmaz, A. Krassioukov, I. Oruc. "Characterizing retinal vascular changes of autonomic dysreflexia in traumatic spinal cord injury." In preparation.
Refereed Conference Proceedings
G. Ozturan†, S. Wang, O. Yilmaz, I. Oruc. "Domain adaptation for automated retinal image segmentation using deep learning." Investigative Ophthalmology & Visual Science 65(7): 5666 (2024). [DOI]
A. Berk, S. Brugiapaglia, Y. Plan, M. Scott†, X. Sheng†, O. Yilmaz. "Model-adapted Fourier sampling for generative compressed sensing." NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023. [arXiv] [DOI]
I. Oruc, P. Delavari, G. Ozturan†, O. Yilmaz. "Explainable diagnosis based on retinal fundus images using deep learning." Proc. ARVO 2023. IOVS 64(8): 259 (2023). [DOI]
I. Oruc, P. Delavari, G. Ozturan†, O. Yilmaz. "Leveraging AI to accelerate scientific discovery." Proc. Optica Fall Vision Meeting, October 2023. Journal of Vision 23(15): 35 (2023).
B. Joshi†, X. Li†, Y. Plan, O. Yilmaz. "PLUGIn: A simple algorithm for inverting generative models with recovery guarantees." NeurIPS, 2021. Spotlight [DOI]
B. Joshi†, X. Li†, Y. Plan, O. Yilmaz. "PLUGIn-CS: A simple algorithm for compressive sensing with generative prior." NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021. [DOI]
A. Berk, G. Ozturan†, D. Maberley, O. Yilmaz, I. Oruc. "Learning from few examples: Classifying sex from retinal images." Proc. Vision Sciences Society. Journal of Vision 20(11): 255 (2020). [DOI]
A. Ahmadieh†, O. Yilmaz. "On one-stage recovery for Sigma-Delta-quantized compressed sensing." Proc. SampTA 2019.
H. Jeong†, X. Li†, Y. Plan, O. Yilmaz. "Non-Gaussian random matrices on sets: optimal tail dependence and applications." Proc. SampTA 2019.
A. Berk, Y. Plan, O. Yilmaz. "Parameter instability regimes in sparse proximal denoising programs." Proc. SampTA 2019.
H. Mansour†, U. Kamilov, O. Yilmaz. "A Kaczmarz method for low rank matrix recovery." Proc. SPARS 2017, Lisbon.
R. Saab†, R. Wang†, O. Yilmaz. "Near-optimal compression for compressed sensing." Data Compression Conference (DCC), 2015. [DOI]
N. Ghadermarzy†, F. Herrmann, O. Yilmaz. "Seismic trace interpolation with approximate message passing." SEG Annual Meeting, Denver, 2014. [DOI]
H. Mansour†, O. Yilmaz. "A sparse randomized Kaczmarz algorithm." IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2013. [DOI]
F. Krahmer, R. Saab†, O. Yilmaz. "Sigma-Delta quantization of sub-Gaussian compressed sensing measurements." Proc. SampTA 2013. [PDF]
H. Mansour†, O. Yilmaz. "Support driven reweighted 1-norm minimization." Proc. ICASSP 2012. [DOI]
H. Mansour†, O. Yilmaz. "Adaptive compressed sensing for video acquisition." Proc. ICASSP 2012. [DOI]
S. Gunturk, M. Lammers, A. Powell, R. Saab†, O. Yilmaz. "Sigma-Delta quantization for compressed sensing." Proc. SampTA 2011.
R. Saab†, O. Yilmaz. "A short note on non-convex compressed sensing." Proc. SampTA 2009.
R. Saab†, R. Chartrand, O. Yilmaz. "Stable sparse approximation via nonconvex optimization." Proc. ICASSP 2008. [DOI]
R. Saab†, D. Wang, F. J. Herrmann, O. Yilmaz. "Curvelet-based primary-multiple separation from a Bayesian perspective." SEG Annual Meeting, San Antonio, 2007.
D. Wang, R. Saab†, F. J. Herrmann, O. Yilmaz. "Recent results in curvelet-based primary-multiple separation: application to real data." SEG Annual Meeting, San Antonio, 2007.
R. Saab†, O. Yilmaz, M. McKeown, R. Abugharbieh. "Blind separation of anechoic underdetermined speech mixtures using multiple sensors." Proc. IEEE ISSPIT, 2006. [DOI]
J. Benedetto, A. Powell, O. Yilmaz. "Sigma-delta quantization and finite frames." Proc. ICASSP 2004. [DOI]
S. Rickard, O. Yilmaz. "On the W-disjoint orthogonality of speech." Proc. ICASSP 2002. [DOI]
A. Jourjine, S. Rickard, O. Yilmaz. "Blind separation of disjoint orthogonal signals: demixing N sources from two mixtures." Proc. ICASSP 2000. (Origin of DUET.) [DOI]
Non-Refereed Conference Proceedings
A. Ahmadieh†, O. Yilmaz. "Deterministic compressed sensing and quantization." Proc. SPIE Wavelets and Sparsity XVI, San Diego, August 2015. [DOI]
N. Ghadermarzy†, O. Yilmaz. "Weighted approximate message passing algorithms for sparse recovery." Proc. SPIE Wavelets and Sparsity XV, San Diego, August 2013. [DOI]
H. Mansour†, O. Yilmaz. "Weighted 1-norm minimization with multiple weighting sets." Proc. SPIE Wavelets and Sparsity XIV, Vol. 8138, 813809, San Diego, August 2011.
S. Gunturk, M. Lammers, A. Powell, R. Saab†, O. Yilmaz. "Sigma-Delta quantization for compressed sensing." Proc. Conference on Information Sciences and Systems (CISS), Princeton, March 2010. (invited)
S. Gunturk, M. Lammers, A. Powell, R. Saab†, O. Yilmaz. "Sobolev duals of random frames." Proc. CISS, Princeton, March 2010. (invited)
M. Lammers, A. Powell, O. Yilmaz. "On quantization of finite frame expansions: sigma-delta schemes of arbitrary order." SPIE Wavelets XII, Vol. 6701, 670108, San Diego, August 2007. [DOI]
J. Benedetto, A. Powell, O. Yilmaz. "Analog-to-digital conversion for finite frames." SPIE Wavelets XI, Vol. 5914, 591416, San Diego, July 2005. [DOI]
R. Saab†, O. Yilmaz, M. McKeown, R. Abugharbieh. "Underdetermined sparse blind source separation with delays." Proc. SPARS 2005.
Software & Patents
US Patent #6,430,528 — A. Jourjine, S. Rickard, O. Yilmaz. "Method and apparatus for demixing of degenerate mixtures." August 6, 2002. [DOI]
O. Yilmaz. Mathematical Properties of Coarse Quantization Schemes in Signal Analysis with New Applications. Ph.D. Thesis, Princeton University, 2001. Advisor: Ingrid Daubechies.