The complete list of publications is available here.
Publications
2025
Scholarly publications
Aslan, S., van Leeuwen, T., Mosk, A., & Salanevich, P. (2025). PtyGenography: using generative models for regularization of the phase retrieval problem. In 2025 International Conference on Sampling Theory and Applications (SampTA) [DOI]
Salanevich, P., & Strachan, N. Q. D. (2025, Sept 1). Robustness to noise and erasures of Gabor frames in finite dimensions. [DOI]
Dirksen, S., Krahmer, F., Römer, P., & Salanevich, P. (2025). Recovery guarantees for low-count Poisson and Bernoulli phase retrieval. In 2025 International Conference on Sampling Theory and Applications (SampTA) [DOI]
Dirksen, S., Krahmer, F., Römer, P., & Salanevich, P. (2025, Feb 18). Spectral method for low-dose Poisson and Bernoulli phase retrieval. [DOI]
Allain, M., Aslan, S., Coene, W., Dirksen, S., Dong, J., Flamant, J., Iwen, M., Krahmer, F., van Leeuwen, T., Melnyk, O., Menzel, A., Mosk, A. P., Nikitin, V., Salanevich, P., Plonka, G., & Wellershoff, M. (2025). Phasebook: a survey of selected open problems in phase retrieval. Sampling Theory, Signal Processing, and Data Analysis. [DOI]
Allain, M., Aslan, S., Coene, W., Dirksen, S., Dong, J., Flamant, J., Iwen, M., Krahmer, F., Leeuwen, T. V., Melnyk, O., Menzel, A., Mosk, A. P., Nikitin, V., Salanevich, P., Plonka, G., & Wellershoff, M. (2025). Phasebook: a survey of selected open problems in phase retrieval. Sampling Theory, Signal Processing, and Data Analysis, 23( 2), Article 23. [DOI] [Portal]
2024
Scholarly publications
Needell, D., Nelson, AA., Saab, R., Salanevich, P., & Schavemaker, O. (2024). Random vector functional link networks for function approximation on manifolds. Frontiers in Applied Mathematics and Statistics, 10, Article 1284706. [DOI] [Repository]
2023
Scholarly publications
Salanevich, P., & Schavemaker, O. (2023). Efficient uniform approximation using Random Vector Functional Link networks. In 2023 International Conference on Sampling Theory and Applications, SampTA 2023 (2023 International Conference on Sampling Theory and Applications, SampTA 2023). IEEE. [DOI] [Portal]
Salanevich, P. (2023). Injectivity of Multi-window Gabor Phase Retrieval. In 2023 International Conference on Sampling Theory and Applications, SampTA 2023 (2023 International Conference on Sampling Theory and Applications, SampTA 2023). IEEE. [DOI]
Rebrova, E., & Salanevich, P. (2023). On Graph Uncertainty Principle and Eigenvector Delocalization. In 2023 International Conference on Sampling Theory and Applications, SampTA 2023 (2023 International Conference on Sampling Theory and Applications, SampTA 2023). IEEE. [DOI]
Salanevich, P., & Schavemaker, O. (2023). Efficient uniform approximation using Random Vector Functional Link networks. (pp. 1-21). arXiv. [DOI] [Repository]
Rebrova, E., & Salanevich, P. (2023). On Graph Uncertainty Principle and Eigenvector Delocalization. arXiv. [DOI] [Repository]
2022
Scholarly publications
Sack, A., Jiang, W., Perlmutter, M., Salanevich, P., & Needell, D. (2022). On Audio Enhancement via Online Non-Negative Matrix Factorization. In 2022 56th Annual Conference on Information Sciences and Systems, CISS 2022 (pp. 287-291). (2022 56th Annual Conference on Information Sciences and Systems, CISS 2022). IEEE. [DOI]
Schavemaker, O., Salanevich, P., Needell, D., Saab, R., & Nelson, A. (2022). Random Vector Functional Link Networks for Function Approximation on Manifolds. Manuscript submitted for publication.
2021
Scholarly publications
Sack, A., Jiang, W., Perlmutter, M., Salanevich, P., & Needell, D. (2021). On audio enhancement via online non-negative matrix factorization. arXiv. [DOI] [Repository]
2020
Scholarly publications
Needell, D., Nelson, A. A., Saab, R., & Salanevich, P. (2020). Random Vector Functional Link Networks for Function Approximation on Manifolds. arXiv. [DOI] [Repository]
2019
Scholarly publications
Salanevich, P. (2019). Extreme Singular Values of Random Time-Frequency Structured Matrices. (pp. 1-21). arXiv. [DOI] [Repository]
Pfander, G. E., & Salanevich, P. (2019). Robust phase retrieval algorithm for time-frequency structured measurements. SIAM Journal on Imaging Sciences, 12(2), 736-761. [DOI] [Repository]
Salanevich, P. (2019). Frame Bounds for Gabor Frames in Finite Dimensions. In 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019 IEEE. [DOI] [Repository]
Salanevich, P. (2019). Stability of Phase Retrieval Problem. In 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019 IEEE. [DOI] [Repository]
Molitor, D., Needell, D., Nelson, A., Saab, R., & Salanevich, P. (2019). Classification Scheme for Binary Data with Extensions. In H. Boche, G. Caire, R. Calderbank, G. Kutyniok, R. Mathar, & P. Petersen (Eds.), Compressed Sensing and Its Applications (pp. 129-151). (Applied and Numerical Harmonic Analysis). Springer. [DOI] [Repository]
2017
Scholarly publications
Salanevich, P., & Pfander, G. E. (2017). Geometric properties of Gabor frames with a random window. In G. Anbarjafari, A. Kivinukk, & G. Tamberg (Eds.), 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017 (pp. 183-187). Article 8024460 IEEE. [DOI]
2015
Scholarly publications
Salanevich, P., & Pfander, G. E. (2015). Polarization based phase retrieval for time-frequency structured measurements. In 2015 International Conference on Sampling Theory and Applications (SampTA) (pp. 187-191). Article 7148877 IEEE. [DOI]