Šimon Váry

Research


Thesis:

S. Vary, On low-rank plus sparse matrix sensing, DPhil dissertation, 2021. [pdf]

Journal papers:

W. Si, P.-A. Absil, W. Huang, R. Jiang, S. Vary, A Riemannian Proximal Newton Method, preprint, 2023. [arxiv]

P. Ablin, S. Vary, B. Gao, P.-A. Absil, Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints, preprint, 2023. [arxiv]

J. Tanner, S. Vary, Compressed sensing of low-rank plus sparse matrices, Applied and Computational Harmonic Analysis, 64, 254-293, 2023. [pdf, doi, arxiv]

J. Tanner, A. Thompson, S. Vary, Matrix rigidity and the ill-posedness of Robust PCA and matrix completion, SIAM Journal on Mathematics of Data Science, 1(3), 537–554, 2019. [doi, arxiv]

T. Tokar, C. Pastrello, V. R. Ramnarine, C. Zhu, K.J. Craddock, L. A. Pikor, E. A. Vucic, S. Vary, F. A. Shepherd, M. Tsao, W. L. Lam, I. Jurisica, Differentially expressed microRNAs in lung adenocarcinoma invert effects of copy number aberrations of prognostic genes, Oncotarget, 2018. [doi]

Conference proceedings:

H. Daglayan, S. Vary, V. Laplat, N. Gillis, P.-A. Absil. Direct Exoplanet Detection Using L1 Norm Low-Rank Approximation, preprint, 2023. [arxiv]

S. Vary, H. Daglayan, L. Jacques, P.-A. Absil. Low-rank plus sparse trajectory decomposition for direct exoplanet imaging, IEEE (ICASSP) International Conference on Acoustics, Speech, and Signal Processing, 2023. [arxiv]

H. Daglayan, S. Vary, F. Cantalloube, P.-A. Absil, O. Absil. Likelihood ratio map for direct exoplanet detection, IEEE (IPAS) International Image Processing Applications and Systems, 2022. [arxiv]

B. Gao, S. Vary, P. Ablin, P.-A. Absil. Optimization flows landing on the Stiefel manifold, Proc. MTNS (IFAC-PapersOnLine) 55(30), 25-30, 2022. [doi, arxiv]

G. A. Antonucci, S. Vary, D. Humphreys, R. A. Lamb, J. Piper, J. Tanner, Multispectral snapshot demosaicing via non-convex matrix completion, IEEE Data Science Workshop, 2019. [doi, arxiv]

S. Vary, A. Thompson, D. Humphreys, J. Tanner, R. A. Lamb, A computational approach to hyperspectral imaging for long-range target identification, Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery (XXIV), 2018. [doi]