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.
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).
- 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.
- 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.
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.
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).
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).
- O. Lopez, O. Yilmaz. "Embracing off-the-grid samples." Sampling Theory, Signal Processing, and Data Analysis 21, 26 (2023): 1–35.
- 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).
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).
- 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).
- 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).
- 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).
2021
- K. Melnykova†, O. Yilmaz. "Memoryless scalar quantization for random frames." Sampling Theory, Signal Processing, and Data Analysis 19, Article 12 (2021).
- A. Berk, Y. Plan, O. Yilmaz. "Sensitivity of ℓ1 minimization to parameter choice." Information and Inference 10(2): 397–453 (2021).
2019
- N. Ghadermarzy†, Y. Plan, O. Yilmaz. "Learning tensors from partial binary measurements." IEEE Transactions on Signal Processing 67(1): 29–40 (2019).
- N. Ghadermarzy†, Y. Plan, O. Yilmaz. "Near-optimal sample complexity for convex tensor completion." Information and Inference 8(3): 577–619 (2019).
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).
- 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).
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).
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).
- 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).
2013
- H. Mansour†, F. Herrmann, O. Yilmaz. "Improved wavefield reconstruction from randomized sampling via weighted one-norm minimization." Geophysics 78(5): V193–V206 (2013).
- 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).
- 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).
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).
- 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).
- 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).
2010
- I. Daubechies, S. Gunturk, Y. Wang, O. Yilmaz. "The golden ratio encoder." IEEE Transactions on Information Theory 56(10): 5097–5110 (2010).
- R. Saab†, O. Yilmaz. "Sparse approximations via non-convex optimization — instance optimality." Applied and Computational Harmonic Analysis 29(1): 20–48 (2010).
- 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).
- 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).
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).
2008
- D. Wang, R. Saab†, O. Yilmaz, F. J. Herrmann. "Bayesian wavefield separation by transform-domain sparsity promotion." Geophysics 73(5): 1–6 (2008).
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).
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).
- J. Benedetto, A. Powell, O. Yilmaz. "Sigma-Delta quantization and finite frames." IEEE Transactions on Information Theory 52(5): 1990–2005 (2006).
- 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).
2005
- O. Yilmaz. "On coarse quantization of tight Gabor frame expansions." International Journal of Wavelets, Multiresolution and Information Processing 3(2): 283–299 (2005).
2004
- O. Yilmaz, S. Rickard. "Blind separation of speech mixtures via time-frequency masking." IEEE Transactions on Signal Processing 52(7): 1830–1847 (2004).
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).
2002
- O. Yilmaz. "Stability analysis for several sigma-delta methods of coarse quantization of bandlimited functions." Constructive Approximation 18(4): 599–623 (2002).
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.
- 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.
Selected Conference Proceedings
- B. Joshi†, X. Li†, Y. Plan, O. Yilmaz. "PLUGIn: A simple algorithm for inverting generative models with recovery guarantees." NeurIPS, 2021. Spotlight
- 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.
- 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).
- R. Saab†, R. Wang†, O. Yilmaz. "Near-optimal compression for compressed sensing." Data Compression Conference (DCC), 2015.
- A. Jourjine, S. Rickard, O. Yilmaz. "Blind separation of disjoint orthogonal signals: demixing N sources from two mixtures." ICASSP, 2000. (Origin of DUET.)
Full conference record: CV (PDF).
Software & Patents
- US Patent #6,430,528 — A. Jourjine, S. Rickard, O. Yilmaz. "Method and apparatus for demixing of degenerate mixtures." August 6, 2002.
- SPARCO — A toolbox for testing sparse reconstruction algorithms. cs.ubc.ca/labs/scl/sparco