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Michael Zibulevsky

Михаил Цыбулевский,Технион
Цыбулевский Михаил Леонидович
מיכאל ציבולבסקי

Principal Research Fellow

Department of Computer Science

Technion - Israel Institute of Technology

Haifa 32000, Israel

Email: mzib@cs.technion.ac.il, mzibul@gmail.com

Tel: 054-784-7738

Room 436

Research Interests

Numerical optimization, deep learning, sparse signal representations, independent component analysis, inverse problems in medical imaging

Teaching

CS-236330: Introduction to Optimization and Deep Learning

Discussion group

Deep Learning Club Technion

YouTube video

NEW:

Radiation design in computed tomography via convex optimization https://youtu.be/PuW4bcbmYqw

Neural Networks

In-class recordings:

Image / Signal Processing

School Math

Presentations (slides)

Blind source separation by sparse decomposition + Relative Newton + Method of multipliers, Jerusalem 2004
Blind source separation, deconvolution and localization using sparse representations, 2004
SESOP: Sequential Subspace Optimization Method for large-scale optimization problems (including SESOP-TN), 2012

Matlab Code

PCD-CG: Parallel coordinate descent merged with conjugate gradients
SESOP_PACK - large-scale unconstrained optimization tool, version 10.05.2010 Includes L1-L2 optimization via PCD-SESOP (parallel coordinate descent), SSF-SESOP, FISTA, etc
PBM - penalty/barrier multiplier algorithm for large-scale nonlinear optimization with functional constraints
Newton method with "frozen" Hessian for unconstrained optimization
Modified Cholesky Factorization (modified Brian Borchers' code)
Image Total Variation, its gradient and Hessian-vector products (simple and fast code)
Adjoint convolution 2D convolution, efficient mex implementation: Version 29.11.2010, compiled at windows 7, 64 bit
Relative Newton Method for Blind Source Separation
Sparse ICA code (by A&M Bronstein): Blind Source Separation based on Sparse Representations
Extraction of a single source from multichannel data using template and sparse decomposition

Selected Publications

See the latest publications at my Google Scholar page:

Book Chapters:

M. Zibulevsky, B. A. Pearlmutter, P. Bofill, and P. Kisilev, "Blind Source Separation by Sparse Decomposition", chapter in the book: S. J. Roberts, and R.M. Everson eds., Independent Component Analysis: Principles and Practice, Cambridge, 2001. gzipped ps file , pdf file
M. Zibulevsky,"Relative Newton and Smoothing Multiplier Optimization Methods for Blind Source Separation", chapter in the book: S. Makino, T.W. Lee and H. Sawada eds., Blind Speech Separation, Springer Series: Signals and Communication Technology XV, 2007 pdf file
R. Gribonval and M. Zibulevsky. Sparse Component Analysis, in Pierre Comon and Christian Jutten (Editors), Handbook of Blind Source Separation: Independent Component Analysis and Applications, ELSEVIER 2010, pp.367-420

Papers and Reports:

Michael Zibulevsky (2010) How to inhibit destructive positive feedback in time of economic crisis
M. Zibulevsky and M. Elad, L1-L2 Optimization in Signal and Image Processing, IEEE Signal Processing Magazine, Vol. 27 No. 3, Pages 78-88, May 2010.
J. Shtok, M. Elad, and M. Zibulevsky, Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning, Submitted to IEEE Transactions on Image Processing
Yehuda Pfeffer and Michael Zibulevsky (2010) Sampling and Noise in Compressive Sensing
Yehuda Pfeffer and Michael Zibulevsky (2010) A Micro-Mirror Array based System for Compressive Sensing of Hyperspectral Data
Master thesis of Yehuda Pfeffer "Compressive Sensing for Hyperspectral Imaging", Technion, 2010

thesis_yehuda_pfeffer

Ron Rubinstein, Michael Zibulevsky, Michael Elad, Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation, IEEE Transactions on Signal Processing, Vol. 58, No. 3, Pages 1553-1564, March 2010
Eliyahu Osherovich, Michael Zibulevsky, and Irad Yavneh (2009) IMAGE RECONSTRUCTION FROM NOISY FOURIER MAGNITUDE WITH PARTIAL PHASE INFORMATION
Michael Zibulevsky (2009) How to prevent economic crisis in time of disaster: consumer insurance bonds
Michael Zibulevsky (2008), On convex formulation of 1D scaling problem
Michael Zibulevsky (2008), SESOP-TN: Combining Sequential Subspace Optimization with Truncated Newton method
Alexander M. Bronstein, Michael M. Bronstein and Michael Zibulevsky, "On Separation of Semitransparent Dynamic Images from Static Background",
L. Dascal, M. Zibulevsky and R. Kimmel, "Signal denoising by constraining the residual to be statistically noise-similar", Technical Report, 2008 pdf file
A.M. Bruckstein, M. Elad, and M. Zibulevsky, On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations, IEEE Transactions on Information Theory, Vol. 54, No. 11, Pages 4813-4820, November 2008
Sarit Shwartz, Yoav Y. Schechner and Michael Zibulevsky (2008), Blind separation of convolutive image mixtures, To be published in Neurocomputing, Special issue on Advances in Blind Signal Processing.
M. Elad, B. Matalon, and M. Zibulevsky, "Coordinate and Subspace Optimization Methods for Linear Least Squares with Non-Quadratic Regularization", Applied and Computational Harmonic Analysis, Vol. 23, pp. 346-367, November 2007. pdf file
D. Model and M. Zibulevsky (October 2006), Learning Subject-Specic Spatial and Temporal Filters for Single-Trial EEG Classi/cation, NeuroImage, Vol 32, Issue 4, pp 1631-1641 pdf file
Model D. and Zibulevsky M. (2006), Signal Reconstruction in Sensor Arrays using Sparse Representations, Signal Processing, Vol 86, Issue 3, pp 624-638 pdf file
Shwartz S., Zibulevsky M., and Schechner Y.Y. (2005), Fast kernel entropy estimation and optimization, Signal Processing, Vol 85, pp. 1045-1058 pdf file
Narkiss, G. and Zibulevsky, M. (2005). "Sequential Subspace Optimization Method for Large-Scale Unconstrained Problems", Tech. Report CCIT No 559, EE Dept., Technion. pdf file
Narkiss, G. and Zibulevsky, M. (2005). "Support Vector Machine via Sequential Subspace Optimization", Tech. Report CCIT No 557, EE Dept., Technion. pdf file
Zibulevsky, M. (2005). "Blind Source Separation using Relative Newton Method combined with Smoothing Method of Multipliers", Tech. Report CCIT No 556, EE Dept, Technion. pdf file
A.M. Bronstein, M.M. Bronstein, M. Zibulevsky and Y.Y.Zeevi, "Sparse ICA for blind separation of transmitted and reflected images", Intl. Journal of Imaging Science and Technology (IJIST), Vol. 15/1, pp. 84-91, 2005.
A.M. Bronstein, M.M. Bronstein, M. Zibulevsky and Y.Y.Zeevi, "Blind Deconvolution of Images using Optimal Sparse Representations", IEEE Trans. on Image Processing, 14(6):726-736, June 2005. pdf file
Alexey Polonsky, Michael Zibulevsky: MEG/EEG Source Localization Using Spatio-temporal Sparse Representations. ICA 2004: 1001-1008 pdf file
Thesis of Alexey Polonsky
A. Bronstein, M. Bronstein and M. Zibulevsky (2003), "Relative optimization for blind deconvolution", IEEE Trans. on Signal Processing, to appear. pdf file
A. Bronstein, M. Bronstein and M. Zibulevsky (2003), "Blind source separation using block-coordinate relative Newton method" pdf file
P. Kisilev, M. Zibulevsky, Y.Y. Zeevi (2003). "Multiscale framework for blind source separation", JMLR, in press. pdf file
Zibulevsky, M. "Blind Source Separation with Relative Newton Method", Proceedings ICA2003, pp. 897-902
Zibulevsky, M. and Pearlmutter, B.A. (2000). "Second order blind source separation by recursive splitting of signal subspaces", Proceedings ICA2000. gzipped ps file
Bronstein M., Bronstein A. and Zibulevsky M. (2002). ``Iterative reconstruction in diffraction tomography using non-uniform FFT'' pdf file
Bronstein A., Bronstein M., Zibulevsky M. and Zeevi Y.Y. (2002). ``Optimal nonlinear estimation of photon coordinates in PET'' pdf file
M. Zibulevsky (2003). "Smoothing Method of Multipliers for Sum-Max Problems" gzipped ps file
Bofill P., Zibulevsky, M. (2001). Underdetermined Blind Source Separation using Sparse Representations, Signal Processing, Vol.81, No 11, pp.2353-2362. pdf file
Zibulevsky, M. and Pearlmutter, B.A. (1999). "Blind Source Separation by Sparse Decomposition ", Neural Computations 13(4), 2001 gzipped ps file , zipped ps file , OLD html verson, Demo
M. Zibulevsky, Y.Y. Zeevi (2002). "Extraction of a single source from multichannel data using sparse decomposition", Neurocomputing 49, pp 163-173. gzipped ps file
M. Zibulevsky, P. Kisilev, Y.Y. Zeevi, B.A. Pearlmutter (2000). "Blind source separation via multinode sparse representation", NIPS-2001, gzipped ps file
Levkovitz R., Falikman D., Zibulevsky M., Ben-Tal A., Nemirovski A. (2001) ``The design and implementation of COSEM, an iterative algorithm for fully 3D listmode data'', IEEE Trans. Med. Imaging, v. 20, #7, pp. 633-642 pdf file
Zibulevsky, M. and Pearlmutter, B.A. (2000). "Recovering shape and distribution of delays of repetitive responses in strong noise" Technical Report CS00-1, Computer Science Department, University of New Mexico. gzipped ps file
Akaysha C. Tang, Barak A. Pearlmutter, and Michael Zibulevsky. Blind source separation of neuromagnetic responses. Computational Neuroscience 1999, proceedings published in Neurocomputing. In press.
Mosheyev, L. and Zibulevsky, M. (2000). "Penalty/Barrier Multiplier Algorithm for Semidefinite Programming", Optimization Methods and Software, vol.13, No 4, pp. 235-261. pdf file , gzipped dvi file
Zibulevsky, M. (1998). "Pattern Recognition via Support Vector Machine with Computationally Efficient Nonlinear Transform ". gzipped ps
Zibulevsky, M. (1998). "ML Reconstruction of Dynamic Pet Images from Projections and Clist ", Technical Report CS98-3, Computer Science Department, University of New Mexico. gzip ps
Ben-Tal, A. and Zibulevsky, M. (1997). ``Penalty/Barrier Multiplier Methods for Convex Programming Problems",SIAM Journal on Optimization v. 7 # 2, pp. 347-366, gzip ps
Zibulevsky M. (1996) Penalty/Barrier Multiplier Methods for Large-Scale Nonlinear and Semidefinite Programming. Ph.D. Thesis. gzip ps , gzip dvi
Kochvara, M., Zibulevsky, M. and Zowe, J. (1996). "Mechanical Design Problems with Unilateral Contact", MAN - Mathematical Modeling and Numerical Analysis, v.32, no 3, pp. 255-282
Akaysha C. Tang, Barak A. Pearlmutter, Michael Zibulevsky, Tim A. Hely, and Michael Weisend. An MEG study of response latency and variability in the human visual system during a visual-motor integration task. In Advances in Neural Information Processing Systems*99. Morgan Kaufmann, 2000, to appear.
Greig, D., Siegelman, H. and Zibulevsky, M., (1996). "A New Class of Neural Network Activation Functions That Don't Saturate". Report. gzipped ps file
Mosheyev, L. and Zibulevsky, M. (1996). "Penalty/Barrier Multiplier Algorithm for Semidefinite Programming: Dual Bounds and Implementation". Research Report #1/96} , Optimization Laboratory.
Zibulevsky M. (1995) "New Penalty/Barrier and Lagrange Multiplier Approach for Semidefinite Programming". Research Report #5/95, Optimization Laboratory:
A. Ben-Tal, I. Yuzefovich, and M. Zibulevsky (1992). "Penalty/barrier multiplier methods for minimax and constrained smooth convex problems". Research Report 9/92, Optimization Laboratory, Faculty of Industrial Engineering and Management, Technion, Haifa, Israel.
Kuprienko, A. and Zibulevsky, M. (1987). " Efficient Data Transmission over High-noised Telephone Channels", NIIASS, Kiev, USSR.