Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform. - Michael M. Bronstein; Alexander M. Bronstein; Michael Zibulevsky (ISBI, 2002)

Optimal nonlinear estimation of photon coordinates in PET. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (ISBI, 2002)

Reconstruction in Diffraction Ultrasound Tomography Using Non-Uniform FFT. - Michael M. Bronstein; Alexander M. Bronstein; Michael Zibulevsky; Haim Azhari (IEEE Trans. Medical Imaging, 2002)

Expression-Invariant 3D Face Recognition. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (AVBPA, 2003)

Separation of semireflective layers using sparse ICA. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (ICASSP (3), 2003)

Separation of reflections via sparse ICA. - Michael M. Bronstein; Alexander M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (ICIP (1), 2003)

Face Recognition from Facial Surface Metric. - Alexander M. Bronstein; Michael M. Bronstein; Alon Spira; Ron Kimmel (ECCV (2), 2004)

Blind Deconvolution Using the Relative Newton Method. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky (ICA, 2004)

Optimal Sparse Representations for Blind Deconvolution of Images. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (ICA, 2004)

QML Blind Deconvolution: Asymptotic Analysis. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (ICA, 2004)

Fusion of 2D and 3D data in three-dimensional face recognition. - Alexander M. Bronstein; Michael M. Bronstein; Eyal Gordon; Ron Kimmel (ICIP, 2004)

Optimal sparse representations for blind source separation and blind deconvolution: a learning approach. - Michael M. Bronstein; Alexander M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (ICIP, 2004)

Fast relative newton algorithm for blind deconvolution of images. - Alexander M. Bronstein; Michael Zibulevsky; Michael M. Bronstein; Yehoshua Y. Zeevi (ICIP, 2004)

Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media. - Michael M. Bronstein; Alexander M. Bronstein; Yehoshua Y. Zeevi; Michael Zibulevsky (ISBI, 2004)

Blind source separation using block-coordinate relative Newton method. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky (Signal Process., 2004)

Blind separation of tissues in multi-modal MRI using Sparse Component Analysis. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (EUSIPCO, 2005)

Expression-invariant face recognition via spherical embedding. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (ICIP (3), 2005)

"Unmixing" tissues: sparse component analysis in multi-contrast MRI. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (ICIP (2), 2005)

Isometric Embedding of Facial Surfaces into. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (Scale-Space, 2005)

Three-Dimensional Face Recognition. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (Int. J. Comput. Vis., 2005)

Sparse ICA for blind separation of transmitted and reflected images. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (Int. J. Imaging Syst. Technol., 2005)

Blind deconvolution of images using optimal sparse representations. - Michael M. Bronstein; Alexander M. Bronstein; Michael Zibulevsky; Yehoshua Y. Zeevi (IEEE Trans. Image Process., 2005)

Relative optimization for blind deconvolution. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky (IEEE Trans. Signal Process., 2005)

Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky (IEEE Trans. Signal Process., 2005)

Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling. - Alexander M. Bronstein; Michael M. Bronstein; Alfred M. Bruckstein; Ron Kimmel (AMDO, 2006)

Facetoface: An Isometric Model for Facial Animation. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (AMDO, 2006)

Topologically Constrained Isometric Embedding. - Guy Rosman; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (Human Motion, 2006)

Robust Expression-Invariant Face Recognition from Partially Missing Data. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (ECCV (3), 2006)

On Separation of Semitransparent Dynamic Images from Static Background. - Alexander M. Bronstein; Michael M. Bronstein; Michael Zibulevsky (ICA, 2006)

Multigrid multidimensional scaling. - Michael M. Bronstein; Alexander M. Bronstein; Ron Kimmel; Irad Yavneh (Numer. Linear Algebra Appl., 2006)

Efficient Computation of Isometry-Invariant Distances Between Surfaces. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (SIAM J. Sci. Comput., 2006)

Rock, Paper, and Scissors: extrinsic vs. intrinsic similarity of non-rigid shapes. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (ICCV, 2007)

Symmetries of non-rigid shapes. - Dan Raviv; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (ICCV, 2007)

Paretian Similarity for Partial Comparison of Non-rigid Objects. - Alexander M. Bronstein; Michael M. Bronstein; Alfred M. Bruckstein; Ron Kimmel (SSVM, 2007)

Weighted distance maps computation on parametric three-dimensional manifolds. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (J. Comput. Phys., 2007)

Expression-Invariant Representations of Faces. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (IEEE Trans. Image Process., 2007)

Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (IEEE Trans. Vis. Comput. Graph., 2007)

Numerical geometry of non-rigid objects: embedding problems. - Alexander M. Bronstein (2007)

Not only size matters: Regularized partial matching of nonrigid shapes. - Alexander M. Bronstein; Michael M. Bronstein (CVPR Workshops, 2008)

Regularized Partial Matching of Rigid Shapes. - Alexander M. Bronstein; Michael M. Bronstein (ECCV (2), 2008)

Analysis of Two-Dimensional Non-Rigid Shapes. - Alexander M. Bronstein; Michael M. Bronstein; Alfred M. Bruckstein; Ron Kimmel (Int. J. Comput. Vis., 2008)

Parallel algorithms for approximation of distance maps on parametric surfaces. - Ofir Weber; Yohai S. Devir; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (ACM Trans. Graph., 2008)

On reconstruction of non-rigid shapes with intrinsic regularization. - Yohai S. Devir; Guy Rosman; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (ICCV Workshops, 2009)

Shape Google: a computer vision approach to isometry invariant shape retrieval. - Maks Ovsjanikov; Alexander M. Bronstein; Michael M. Bronstein; Leonidas J. Guibas (ICCV Workshops, 2009)

3D-color video camera. - O. Rubinstein; Yaron Honen; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (ICCV Workshops, 2009)

Partial Similarity of Objects, or How to Compare a Centaur to a Horse. - Alexander M. Bronstein; Michael M. Bronstein; Alfred M. Bruckstein; Ron Kimmel (Int. J. Comput. Vis., 2009)

Topology-Invariant Similarity of Nonrigid Shapes. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (Int. J. Comput. Vis., 2009)

Partial Similarity of Shapes Using a Statistical Significance Measure. - Alexander M. Bronstein; Michael M. Bronstein; Yair Carmon; Ron Kimmel (IPSJ Trans. Comput. Vis. Appl., 2009)

Numerical Geometry of Non-Rigid Shapes - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (Springer, 2009)

SHREC'10 Track: Feature Detection and Description. - Alexander M. Bronstein; Michael M. Bronstein; Benjamin Bustos; Umberto Castellani; Marco Cristani; Bianca Falcidieno; Leonidas J. Guibas; Iasonas Kokkinos; Vittorio Murino; Maks Ovsjanikov; Giuseppe Patanè 001; Ivan Sipiran; et al. (3DOR@Eurographics, 2010)

SHREC'10 Track: Correspondence Finding. - Alexander M. Bronstein; Michael M. Bronstein; Umberto Castellani; Anastasia Dubrovina; Leonidas J. Guibas; Radu Horaud; Ron Kimmel; David Knossow; Etienne von Lavante; Diana Mateus; Maks Ovsjanikov; Avinash Sharma 001 (3DOR@Eurographics, 2010)

SHREC'10 Track: Robust Shape Retrieval. - Alexander M. Bronstein; Michael M. Bronstein; Umberto Castellani; Bianca Falcidieno; Andrea Fusiello; Afzal Godil; Leonidas J. Guibas; Iasonas Kokkinos; Zhouhui Lian; Maks Ovsjanikov; Giuseppe Patanè 001; Michela Spagnuolo; et al. (3DOR@Eurographics, 2010)

Data fusion through cross-modality metric learning using similarity-sensitive hashing. - Michael M. Bronstein; Alexander M. Bronstein; Fabrice Michel; Nikos Paragios (CVPR, 2010)

Spatially-Sensitive Affine-Invariant Image Descriptors. - Alexander M. Bronstein; Michael M. Bronstein (ECCV (2), 2010)

Intrinsic Regularity Detection in 3D Geometry. - Niloy J. Mitra; Alexander M. Bronstein; Michael M. Bronstein (ECCV (3), 2010)

Volumetric heat kernel signatures. - Dan Raviv; Michael M. Bronstein; Alexander M. Bronstein; Ron Kimmel (3DOR@MM, 2010)

The Video Genome - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (CoRR, 2010)

A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching. - Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel; Mona Mahmoudi; Guillermo Sapiro (Int. J. Comput. Vis., 2010)

Full and Partial Symmetries of Non-rigid Shapes. - Dan Raviv; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (Int. J. Comput. Vis., 2010)

Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding. - Guy Rosman; Michael M. Bronstein; Alexander M. Bronstein; Ron Kimmel (Int. J. Comput. Vis., 2010)

SHREC '11: Robust Feature Detection and Description Benchmark. - Edmond Boyer; Alexander M. Bronstein; Michael M. Bronstein; Benjamin Bustos; Tal Darom; Radu Horaud; Ingrid Hotz; Yosi Keller; Johannes Keustermans; Artiom Kovnatsky; Roee Litman; Jan Reininghaus; et al. (3DOR@Eurographics, 2011)

Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. - Dan Raviv; Michael M. Bronstein; Alexander M. Bronstein; Ron Kimmel; Nir A. Sochen (CVPR, 2011)

Fast Key-Word Searching via Embedding and Active-DTW. - Raid Saabni; Alex M. Bronstein (ICDAR, 2011)

Boosted metric learning for 3D multi-modal deformable registration. - Fabrice Michel; Michael M. Bronstein; Alexander M. Bronstein; Nikos Paragios (ISBI, 2011)

Deformable Shape Retrieval by Learning Diffusion Kernels. - Yonathan Aflalo; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (SSVM, 2011)

Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes. - Amit Hooda; Michael M. Bronstein; Alexander M. Bronstein; Radu Horaud (SSVM, 2011)

Photometric Heat Kernel Signatures. - Artiom Kovnatsky; Michael M. Bronstein; Alexander M. Bronstein; Ron Kimmel (SSVM, 2011)

A Correspondence-Less Approach to Matching of Deformable Shapes. - Jonathan Pokrass; Alexander M. Bronstein; Michael M. Bronstein (SSVM, 2011)

Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes. - Guy Rosman; Michael M. Bronstein; Alexander M. Bronstein; Alon Wolf; Ron Kimmel (SSVM, 2011)

Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching. - Chaohui Wang; Michael M. Bronstein; Alexander M. Bronstein; Nikos Paragios (SSVM, 2011)

Equi-affine Invariant Geometries of Articulated Objects. - Dan Raviv; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel; Nir A. Sochen (Theoretical Foundations of Computer Vision, 2011)

Diffusion-geometric maximally stable component detection in deformable shapes. - Roee Litman; Alexander M. Bronstein; Michael M. Bronstein (Comput. Graph., 2011)

Affine-invariant geodesic geometry of deformable 3D shapes. - Dan Raviv; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel; Nir A. Sochen (Comput. Graph., 2011)

Diffusion framework for geometric and photometric data fusion in non-rigid shape analysis - Artiom Kovnatsky; Michael M. Bronstein; Alexander M. Bronstein; Ron Kimmel (CoRR, 2011)

SHREC 2011: robust feature detection and description benchmark - Edmond Boyer; Alexander M. Bronstein; Michael M. Bronstein; Benjamin Bustos; Tal Darom; Radu Horaud; Ingrid Hotz; Yosi Keller; Johannes Keustermans; Artiom Kovnatsky; Roee Litman; Jan Reininghaus; et al. (CoRR, 2011)

Spectral descriptors for deformable shapes - Alexander M. Bronstein (CoRR, 2011)

Shape Recognition with Spectral Distances. - Michael M. Bronstein; Alexander M. Bronstein (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Are MSER Features Really Interesting? - Ron Kimmel; Cuiping Zhang; Alexander M. Bronstein; Michael M. Bronstein (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Shape google: Geometric words and expressions for invariant shape retrieval. - Alexander M. Bronstein; Michael M. Bronstein; Leonidas J. Guibas; Maks Ovsjanikov (ACM Trans. Graph., 2011)

Feature-Based Methods in 3D Shape Analysis. - Alexander M. Bronstein; Michael M. Bronstein; Maks Ovsjanikov (3D Imaging, Analysis and Applications, 2012)

Affine-Invariant Photometric Heat Kernel Signatures. - Artiom Kovnatsky; Michael M. Bronstein; Alexander M. Bronstein; Dan Raviv; Ron Kimmel (3DOR@Eurographics, 2012)

Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization. - Guy Rosman; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (3DOR@Eurographics, 2012)

Parallelized Algorithms for Rigid Surface Alignment on GPU. - Aviad Zabatani; Alexander M. Bronstein (3DOR@Eurographics, 2012)

Intrinsic shape context descriptors for deformable shapes. - Iasonas Kokkinos; Michael M. Bronstein; Roee Litman; Alexander M. Bronstein (CVPR, 2012)

A game-theoretic approach to deformable shape matching. - Emanuele Rodolà; Alexander M. Bronstein; Andrea Albarelli; Filippo Bergamasco; Andrea Torsello (CVPR, 2012)

Stable Spectral Mesh Filtering. - Artiom Kovnatsky; Michael M. Bronstein; Alexander M. Bronstein (ECCV Workshops (1), 2012)

Putting the Pieces Together: Regularized Multi-part Shape Matching. - Or Litany; Alexander M. Bronstein; Michael M. Bronstein (ECCV Workshops (1), 2012)

Group-Valued Regularization for Analysis of Articulated Motion. - Guy Rosman; Alexander M. Bronstein; Michael M. Bronstein; Xue-Cheng Tai; Ron Kimmel (ECCV Workshops (1), 2012)

Diffusion Geometry in Shape Analysis. - Michael M. Bronstein; Umberto Castellani; Alexander M. Bronstein (Eurographics (Tutorials), 2012)

Fast Keyword Searching Using 'BoostMap' Based Embedding. - Raid Saabni; Alex M. Bronstein (ICFHR, 2012)

Learning Efficient Structured Sparse Models. - Alexander M. Bronstein; Pablo Sprechmann; Guillermo Sapiro (ICML, 2012)

Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling. - Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (ISMIR, 2012)

Stable volumetric features in deformable shapes. - Roee Litman; Alexander M. Bronstein; Michael M. Bronstein (Comput. Graph., 2012)

Multimodal diffusion geometry by joint diagonalization of Laplacians - Davide Eynard; Klaus Glashoff; Michael M. Bronstein; Alexander M. Bronstein (CoRR, 2012)

Learning Robust Low-Rank Representations - Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (CoRR, 2012)

LDAHash: Improved Matching with Smaller Descriptors. - Christoph Strecha; Alexander M. Bronstein; Michael M. Bronstein; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Stable Semi-local Features for Non-rigid Shapes. - Roee Litman; Alexander M. Bronstein; Michael M. Bronstein (Innovations for Shape Analysis, Models and Algorithms, 2013)

Group-Valued Regularization for Motion Segmentation of Articulated Shapes. - Guy Rosman; Michael M. Bronstein; Alexander M. Bronstein; Alon Wolf; Ron Kimmel (Innovations for Shape Analysis, Models and Algorithms, 2013)

Learnable low rank sparse models for speech denoising. - Pablo Sprechmann; Alexander M. Bronstein; Michael M. Bronstein; Guillermo Sapiro (ICASSP, 2013)

Audio restoration from multiple copies. - Pablo Sprechmann; Alexander M. Bronstein; Jean-Michel Morel; Guillermo Sapiro (ICASSP, 2013)

Bilevel Sparse Models for Polyphonic Music Transcription. - Tal Ben Yakar; Roee Litman; Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (ISMIR, 2013)

Supervised Sparse Analysis and Synthesis Operators. - Pablo Sprechmann; Roee Litman; Tal Ben Yakar; Alexander M. Bronstein; Guillermo Sapiro (NIPS, 2013)

Coupled quasi-harmonic bases. - Artiom Kovnatsky; Michael M. Bronstein; Alexander M. Bronstein; Klaus Glashoff; Ron Kimmel (Comput. Graph. Forum, 2013)

Sparse Modeling of Intrinsic Correspondences. - Jonathan Pokrass; Alexander M. Bronstein; Michael M. Bronstein; Pablo Sprechmann; Guillermo Sapiro (Comput. Graph. Forum, 2013)

Shape Retrieval of Non-Rigid 3D Human Models. - David Pickup; Xianfang Sun; Paul L. Rosin; Ralph R. Martin; Z. Cheng; Zhouhui Lian; Masaki Aono; Abdessamad Ben Hamza; Alexander M. Bronstein; Michael M. Bronstein; S. Bu; Umberto Castellani; et al. (3DOR@Eurographics, 2014)

Quantifying 3D Shape Similarity Using Maps: Recent Trends, Applications and Perspectives. - Silvia Biasotti; Andrea Cerri; Alexander M. Bronstein; Michael M. Bronstein (Eurographics (State of the Art Reports), 2014)

Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement. - Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (HSCMA, 2014)

Real-time compressed imaging of scattering volumes. - Ohad Menashe; Alexander M. Bronstein (ICIP, 2014)

Supervised learning of bag-of-features shape descriptors using sparse coding. - Roee Litman; Alexander M. Bronstein; Michael M. Bronstein; Umberto Castellani (Comput. Graph. Forum, 2014)

Graph matching: relax or not? - Yonathan Aflalo; Alexander M. Bronstein; Ron Kimmel (CoRR, 2014)

Probably Approximately Symmetric: Fast 3D Symmetry Detection with Global Guarantees. - Simon Korman; Roee Litman; Shai Avidan; Alexander M. Bronstein (CoRR, 2014)

Sparse similarity-preserving hashing. - Jonathan Masci; Alexander M. Bronstein; Michael M. Bronstein; Pablo Sprechmann; Guillermo Sapiro (ICLR, 2014)

Equi-affine Invariant Geometry for Shape Analysis. - Dan Raviv; Alexander M. Bronstein; Michael M. Bronstein; Dan Waisman; Nir A. Sochen; Ron Kimmel (J. Math. Imaging Vis., 2014)

Learning Spectral Descriptors for Deformable Shape Correspondence. - Roee Litman; Alexander M. Bronstein (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Multimodal Similarity-Preserving Hashing. - Jonathan Masci; Michael M. Bronstein; Alexander M. Bronstein; Jürgen Schmidhuber (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Scalability of Non-Rigid 3D Shape Retrieval. - Ivan Sipiran; Benjamin Bustos; Tobias Schreck; Alexander M. Bronstein; Sungbin Choi; Long Lai; Haisheng Li 002; Roee Litman; Li Sun 004 (3DOR@Eurographics, 2015)

Inverting RANSAC: Global model detection via inlier rate estimation. - Roee Litman; Simon Korman; Alexander M. Bronstein; Shai Avidan (CVPR, 2015)

Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis. - Xiao Bian; Hamid Krim; Alex M. Bronstein; Liyi Dai (ICASSP, 2015)

Intel realsense = Real low cost gaze. - Mark Draelos; Qiang Qiu 001; Alexander M. Bronstein; Guillermo Sapiro (ICIP, 2015)

Probably Approximately Symmetric: Fast Rigid Symmetry Detection With Global Guarantees. - Simon Korman; Roee Litman; Shai Avidan; Alexander M. Bronstein (Comput. Graph. Forum, 2015)

On the Stability of Deep Networks. - Raja Giryes; Guillermo Sapiro; Alexander M. Bronstein (ICLR (Workshop), 2015)

Image reconstruction from dense binary pixels. - Or Litany; Tal Remez; Alexander M. Bronstein (CoRR, 2015)

Random Forests Can Hash. - Qiang Qiu 001; Guillermo Sapiro; Alexander M. Bronstein (ICLR (Workshop), 2015)

A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels. - Tal Remez; Or Litany; Alexander M. Bronstein (CoRR, 2015)

Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians. - Davide Eynard; Artiom Kovnatsky; Michael M. Bronstein; Klaus Glashoff; Alexander M. Bronstein (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Learning Efficient Sparse and Low Rank Models. - Pablo Sprechmann; Alexander M. Bronstein; Guillermo Sapiro (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Manifold Intrinsic Similarity. - Alexander M. Bronstein; Michael M. Bronstein (Handbook of Mathematical Methods in Imaging, 2015)

Sparse Models for Intrinsic Shape Correspondence. - Jonathan Pokrass; Alexander M. Bronstein; Michael M. Bronstein; Pablo Sprechmann; Guillermo Sapiro (Perspectives in Shape Analysis, 2016)

Consistent Discretization and Minimization of the L1 Norm on Manifolds. - Alexander M. Bronstein; Yoni Choukroun; Ron Kimmel; Matan Sela (3DV, 2016)

SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs. - Roee Litman; Alexander M. Bronstein (3DV, 2016)

A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. - Tal Remez; Or Litany; Alexander M. Bronstein (ICCP, 2016)

RealSense = real heart rate: Illumination invariant heart rate estimation from videos. - Jie Chen 001; Zhuoqing Chang; Qiang Qiu 001; Xiaobai Li; Guillermo Sapiro; Alexander M. Bronstein; Matti Pietikäinen (IPTA, 2016)

Computing and processing correspondences with functional maps. - Maks Ovsjanikov; Etienne Corman; Michael M. Bronstein; Emanuele Rodolà; Mirela Ben-Chen; Leonidas J. Guibas; Frédéric Chazal; Alexander M. Bronstein (SIGGRAPH ASIA Courses, 2016)

Low-cost Gaze and Pulse Analysis using RealSense. - Qiang Qiu 001; Zhuoqing Chang; Mark Draelos; Jie Chen 001; Alexander M. Bronstein; Guillermo Sapiro (EAI Endorsed Trans. Ambient Syst., 2016)

Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment. - Silvia Biasotti; Andrea Cerri; Alexander M. Bronstein; Michael M. Bronstein (Comput. Graph. Forum, 2016)

Non-Rigid Puzzles. - Or Litany; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein; Daniel Cremers (Comput. Graph. Forum, 2016)

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds. - Or Litany; Tal Remez; Alexander M. Bronstein (CoRR, 2016)

FPGA system for real-time computational extended depth of field imaging using phase aperture coding. - Tal Remez; Or Litany; Shachar Yoseff; Harel Haim; Alexander M. Bronstein (CoRR, 2016)

Bayesian Inference of Bijective Non-Rigid Shape Correspondence. - Matthias Vestner; Roee Litman; Alexander M. Bronstein; Emanuele Rodolà; Daniel Cremers (CoRR, 2016)

Shape Retrieval of Non-rigid 3D Human Models. - David Pickup; Xianfang Sun; Paul L. Rosin; Ralph R. Martin; Z. Cheng; Zhouhui Lian; Masaki Aono; A. Ben Hamza; Alexander M. Bronstein; Michael M. Bronstein; S. Bu; Umberto Castellani; et al. (Int. J. Comput. Vis., 2016)

Sparsity and Nullity: Paradigms for Analysis Dictionary Learning. - Xiao Bian; Hamid Krim; Alex M. Bronstein; Liyi Dai (SIAM J. Imaging Sci., 2016)

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? - Raja Giryes; Guillermo Sapiro; Alexander M. Bronstein (IEEE Trans. Signal Process., 2016)

Efficient Deformable Shape Correspondence via Kernel Matching. - Matthias Vestner; Zorah Lähner; Amit Boyarski; Or Litany; Ron Slossberg; Tal Remez; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel; Daniel Cremers (3DV, 2017)

Deformable Shape Retrieval with Missing Parts. - Emanuele Rodolà; Luca Cosmo; Or Litany; Michael M. Bronstein; Alexander M. Bronstein; Nicolas Audebert; A. Ben Hamza; Alexandre Boulch; Umberto Castellani; Minh N. Do; Duc Anh Duong; Takahiko Furuya; et al. (3DOR@Eurographics, 2017)

Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. - Matthias Vestner; Roee Litman; Emanuele Rodolà; Alexander M. Bronstein; Daniel Cremers (CVPR, 2017)

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. - Or Litany; Tal Remez; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein (ICCV, 2017)

Deep class-aware image denoising. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (ICIP, 2017)

White Matter Fiber Representation Using Continuous Dictionary Learning. - Guy Alexandroni; Yana Podolsky; Hayit Greenspan; Tal Remez; Or Litany; Alexander M. Bronstein; Raja Giryes (MICCAI (1), 2017)

Subspace Least Squares Multidimensional Scaling. - Amit Boyarski; Alexander M. Bronstein; Michael M. Bronstein (SSVM, 2017)

Fully Spectral Partial Shape Matching. - Or Litany; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein (Comput. Graph. Forum, 2017)

Deep Convolutional Denoising of Low-Light Images. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (CoRR, 2017)

Deep Class Aware Denoising. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (CoRR, 2017)

Towards CT-quality Ultrasound Imaging using Deep Learning. - Sanketh Vedula; Ortal Senouf; Alexander M. Bronstein; Oleg V. Michailovich; Michael Zibulevsky (CoRR, 2017)

ASIST: Automatic semantically invariant scene transformation. - Or Litany; Tal Remez; Daniel Freedman; Lior Shapira; Alexander M. Bronstein; Ran Gal (Comput. Vis. Image Underst., 2017)

Deformable Shape Completion With Graph Convolutional Autoencoders. - Or Litany; Alexander M. Bronstein; Michael M. Bronstein; Ameesh Makadia (CVPR, 2018)

ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. - Qiang Qiu 001; José Lezama; Alexander M. Bronstein; Guillermo Sapiro (ECCV (2), 2018)

Geometry and Learning in 3D Shape Processing Problems. - Alexander M. Bronstein (VISIGRAPP, 2018)

The Learned Inexact Project Gradient Descent Algorithm. - Raja Giryes; Yonina C. Eldar; Alexander M. Bronstein; Guillermo Sapiro (ICASSP, 2018)

Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform. - Chaim Baskin; Natan Liss; Evgenii Zheltonozhskii; Alexander M. Bronstein; Avi Mendelson (IPDPS Workshops, 2018)

NetLSD: Hearing the Shape of a Graph. - Anton Tsitsulin; Davide Mottin; Panagiotis Karras; Alexander M. Bronstein; Emmanuel Müller (KDD, 2018)

High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. - Ortal Senouf; Sanketh Vedula; Grigoriy Zurakhov; Alexander M. Bronstein; Michael Zibulevsky; Oleg V. Michailovich; Dan Adam; David Blondheim (MICCAI (1), 2018)

High Quality Ultrasonic Multi-line Transmission Through Deep Learning. - Sanketh Vedula; Ortal Senouf; Grigoriy Zurakhov; Alexander M. Bronstein; Michael Zibulevsky; Oleg V. Michailovich; Dan Adam; Diana Gaitini (MLMIR@MICCAI, 2018)

Delta-encoder: an effective sample synthesis method for few-shot object recognition. - Eli Schwartz; Leonid Karlinsky; Joseph Shtok; Sivan Harary; Mattias Marder; Abhishek Kumar 001; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (NeurIPS, 2018)

Functional Maps on Product Manifolds. - Emanuele Rodolà; Zorah Lähner; Alex M. Bronstein; Michael M. Bronstein; Justin Solomon 001 (SGP (Posters), 2018)

DeepISP: Learning End-to-End Image Processing Pipeline. - Eli Schwartz; Raja Giryes; Alexander M. Bronstein (CoRR, 2018)

UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. - Chaim Baskin; Eli Schwartz; Evgenii Zheltonozhskii; Natan Liss; Raja Giryes; Alexander M. Bronstein; Avi Mendelson (CoRR, 2018)

RepMet: Representative-based metric learning for classification and one-shot object detection. - Eli Schwartz; Leonid Karlinsky; Joseph Shtok; Sivan Harary; Mattias Marder; Sharathchandra Pankanti; Rogério Schmidt Feris; Abhishek Kumar 001; Raja Giryes; Alexander M. Bronstein (CoRR, 2018)

NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. - Chaim Baskin; Natan Liss; Yoav Chai; Evgenii Zheltonozhskii; Eli Schwartz; Raja Giryes; Avi Mendelson; Alexander M. Bronstein (CoRR, 2018)

SGR: Self-Supervised Spectral Graph Representation Learning. - Anton Tsitsulin; Davide Mottin; Panagiotis Karras; Alexander M. Bronstein; Emmanuel Müller (CoRR, 2018)

Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware. - Natan Liss; Chaim Baskin; Avi Mendelson; Alexander M. Bronstein; Raja Giryes (CoRR, 2018)

Self-supervised Learning of Dense Shape Correspondence. - Oshri Halimi; Or Litany; Emanuele Rodolà; Alexander M. Bronstein; Ron Kimmel (CoRR, 2018)

Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask. - Harel Haim; Shay Elmalem; Raja Giryes; Alexander M. Bronstein; Emanuel Marom (IEEE Trans. Computational Imaging, 2018)

Class-Aware Fully Convolutional Gaussian and Poisson Denoising. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (IEEE Trans. Image Process., 2018)

Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems. - Raja Giryes; Yonina C. Eldar; Alexander M. Bronstein; Guillermo Sapiro (IEEE Trans. Signal Process., 2018)

Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. - Arianna Rampini; Irene Tallini; Maks Ovsjanikov; Alexander M. Bronstein; Emanuele Rodolà (3DV, 2019)

Shape Correspondence with Isometric and Non-Isometric Deformations. - Roberto M. Dyke; C. Stride; Yu-Kun Lai; Paul L. Rosin; Mathieu Aubry; Amit Boyarski; Alexander M. Bronstein; Michael M. Bronstein; Daniel Cremers; Matthew Fisher; Thibault Groueix; Daoliang Guo; et al. (3DOR@Eurographics, 2019)

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. - Amit Alfassy; Leonid Karlinsky; Amit Aides; Joseph Shtok; Sivan Harary; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (CVPR, 2019)

Unsupervised Learning of Dense Shape Correspondence. - Oshri Halimi; Or Litany; Emanuele Rodolà; Alexander M. Bronstein; Ron Kimmel (CVPR, 2019)

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. - Leonid Karlinsky; Joseph Shtok; Sivan Harary; Eli Schwartz; Amit Aides; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (CVPR, 2019)

Learning to Detect and Retrieve Objects From Unlabeled Videos. - Elad Amrani; Rami Ben-Ari; Tal Hakim; Alex M. Bronstein (ICCV Workshops, 2019)

Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. - Nir Diamant; Dean Zadok; Chaim Baskin; Eli Schwartz; Alexander M. Bronstein (ICIP, 2019)

Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. - Ortal Senouf; Sanketh Vedula; Tomer Weiss 002; Alexander M. Bronstein; Oleg V. Michailovich; Michael Zibulevsky (DART/MIL3ID@MICCAI, 2019)

Learning beamforming in ultrasound imaging. - Sanketh Vedula; Ortal Senouf; Grigoriy Zurakhov; Alexander M. Bronstein; Oleg V. Michailovich; Michael Zibulevsky (MIDL, 2019)

Localization with Limited Annotation for Chest X-rays. - Eyal Rozenberg; Daniel Freedman; Alex M. Bronstein (ML4H@NeurIPS, 2019)

DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. - Gautam Pai 001; Ronen Talmon; Alexander M. Bronstein; Ron Kimmel (WACV, 2019)

Spectral Graph Complexity. - Anton Tsitsulin; Davide Mottin; Panagiotis Karras; Alexander M. Bronstein; Emmanuel Müller (WWW (Companion Volume), 2019)

Functional Maps Representation On Product Manifolds. - Emanuele Rodolà; Zorah Lähner; Alexander M. Bronstein; Michael M. Bronstein; Justin Solomon 001 (Comput. Graph. Forum, 2019)

Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks. - Yochai Zur; Chaim Baskin; Evgenii Zheltonozhskii; Brian Chmiel; Itay Evron; Alexander M. Bronstein; Avi Mendelson (CoRR, 2019)

Learning Fast Magnetic Resonance Imaging. - Tomer Weiss 002; Sanketh Vedula; Ortal Senouf; Alexander M. Bronstein; Oleg V. Michailovich; Michael Zibulevsky (CoRR, 2019)

Toward Self-Supervised Object Detection in Unlabeled Videos. - Elad Amrani; Rami Ben-Ari; Tal Hakim; Alex M. Bronstein (CoRR, 2019)

Intrinsic Multi-scale Evaluation of Generative Models. - Anton Tsitsulin; Marina Munkhoeva; Davide Mottin; Panagiotis Karras; Alexander M. Bronstein; Ivan V. Oseledets; Emmanuel Müller (CoRR, 2019)

PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. - Tomer Weiss 002; Ortal Senouf; Sanketh Vedula; Oleg V. Michailovich; Michael Zibulevsky; Alexander M. Bronstein (CoRR, 2019)

Localization with Limited Annotation. - Eyal Rozenberg; Daniel Freedman; Alexander M. Bronstein (CoRR, 2019)

Smoothed Inference for Adversarially-Trained Models. - Yaniv Nemcovsky; Evgenii Zheltonozhskii; Chaim Baskin; Brian Chmiel; Alexander M. Bronstein; Avi Mendelson (CoRR, 2019)

Deep geometric matrix completion: Are we doing it right? - Amit Boyarski; Sanketh Vedula; Alex M. Bronstein (CoRR, 2019)

DeepISP: Toward Learning an End-to-End Image Processing Pipeline. - Eli Schwartz; Raja Giryes; Alexander M. Bronstein (IEEE Trans. Image Process., 2019)

UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks. - Chaim Baskin; Natan Liss; Eli Schwartz; Evgenii Zheltonozhskii; Raja Giryes; Alex M. Bronstein; Avi Mendelson (ACM Trans. Comput. Syst., 2019)

Do We Need Depth in State-Of-The-Art Face Authentication? - Amir Livne; Ziv Aviv; Shahaf Grofit; Alex M. Bronstein; Ron Kimmel (3DV, 2020)

Self-Supervised Object Detection and Retrieval Using Unlabeled Videos. - Elad Amrani; Rami Ben-Ari; Inbar Shapira; Tal Hakim; Alex M. Bronstein (CVPR Workshops, 2020)

Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. - Tomer Weiss 002; Sanketh Vedula; Ortal Senouf; Oleg V. Michailovich; Michael Zibulevsky; Alexander M. Bronstein (ICASSP, 2020)

The Shape of Data: Intrinsic Distance for Data Distributions. - Anton Tsitsulin; Marina Munkhoeva; Davide Mottin; Panagiotis Karras; Alexander M. Bronstein; Ivan V. Oseledets; Emmanuel Müller (ICLR, 2020)

Feature Map Transform Coding for Energy-Efficient CNN Inference. - Brian Chmiel; Chaim Baskin; Evgenii Zheltonozhskii; Ron Banner; Yevgeny Yermolin; Alex Karbachevsky; Alex M. Bronstein; Avi Mendelson (IJCNN, 2020)

3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. - Jonathan Alush-Aben; Linor Ackerman-Schraier; Tomer Weiss 002; Sanketh Vedula; Ortal Senouf; Alex M. Bronstein (MLMIR@MICCAI, 2020)

Robust Quantization: One Model to Rule Them All. - Moran Shkolnik; Brian Chmiel; Ron Banner; Gil Shomron; Yury Nahshan; Alex M. Bronstein; Uri C. Weiser (NeurIPS, 2020)

Generating Adversarial Surfaces via Band-Limited Perturbations. - Giorgio Mariani; Luca Cosmo; Alexander M. Bronstein; Emanuele Rodolà (Comput. Graph. Forum, 2020)

Colored Noise Injection for Training Adversarially Robust Neural Networks. - Evgenii Zheltonozhskii; Chaim Baskin; Yaniv Nemcovsky; Brian Chmiel; Avi Mendelson; Alex M. Bronstein (CoRR, 2020)

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. - Leonid Karlinsky; Joseph Shtok; Amit Alfassy; Moshe Lichtenstein; Sivan Harary; Eli Schwartz; Sivan Doveh; Prasanna Sattigeri; Rogério Schmidt Feris; Alexander M. Bronstein; Raja Giryes (CoRR, 2020)

Shape retrieval of non-rigid 3d human models. - David Pickup; Xianfang Sun; Paul L. Rosin; Ralph R. Martin; Z. Cheng; Zhouhui Lian; Masaki Aono; A. Ben Hamza; Alexander M. Bronstein; Michael M. Bronstein; S. Bu; Umberto Castellani; et al. (CoRR, 2020)

HCM: Hardware-Aware Complexity Metric for Neural Network Architectures. - Alex Karbachevsky; Chaim Baskin; Evgenii Zheltonozhskii; Yevgeny Yermolin; Freddy Gabbay; Alex M. Bronstein; Avi Mendelson (CoRR, 2020)

Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging. - David H. Silver; Martin Feder; Yael Gold-Zamir; Avital L. Polsky; Shahar Rosentraub; Efrat Shachor; Adi Weinberger; Pavlo Mazur; Valery D. Zukin; Alex M. Bronstein (CoRR, 2020)

Self-Supervised Learning for Large-Scale Unsupervised Image Clustering. - Evgenii Zheltonozhskii; Chaim Baskin; Alex M. Bronstein; Avi Mendelson (CoRR, 2020)

Towards learned optimal q-space sampling in diffusion MRI. - Tomer Weiss 002; Sanketh Vedula; Ortal Senouf; Oleg V. Michailovich; Alex M. Bronstein (CoRR, 2020)

SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera. - Nir Diamant; Tal Mund; Ohad Menashe; Aviad Zabatani; Alex M. Bronstein (CoRR, 2020)

Intel® RealSense™ SR300 Coded Light Depth Camera. - Aviad Zabatani; Vitaly Surazhsky; Erez Sperling; Sagi Ben-Moshe; Ohad Menashe; David H. Silver; Zachi Karni; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Overparameterized Models for Vector Fields. - Keren Rotker; Dafna Ben-Bashat; Alex M. Bronstein (SIAM J. Imaging Sci., 2020)

Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?". - Raja Giryes; Guillermo Sapiro; Alex M. Bronstein (IEEE Trans. Signal Process., 2020)

Hamiltonian Operator for Spectral Shape Analysis. - Yoni Choukroun; Alon Shtern; Alexander M. Bronstein; Ron Kimmel (IEEE Trans. Vis. Comput. Graph., 2020)

Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. - Elad Amrani; Rami Ben-Ari; Daniel Rotman; Alex M. Bronstein (AAAI, 2021)

StarNet: towards Weakly Supervised Few-Shot Object Detection. - Leonid Karlinsky; Joseph Shtok; Amit Alfassy; Moshe Lichtenstein; Sivan Harary; Eli Schwartz; Sivan Doveh; Prasanna Sattigeri; Rogério Feris; Alex M. Bronstein; Raja Giryes (AAAI, 2021)

GRASP: Graph Alignment Through Spectral Signatures. - Judith Hermanns; Anton Tsitsulin; Marina Munkhoeva; Alexander M. Bronstein; Davide Mottin; Panagiotis Karras (APWeb/WAIM (1), 2021)

Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times. - Omer Dahary; Matan Jacoby; Alex M. Bronstein (CVPR, 2021)

Detector-Free Weakly Supervised Grounding by Separation. - Assaf Arbelle; Sivan Doveh; Amit Alfassy; Joseph Shtok; Guy Lev; Eli Schwartz; Hilde Kuehne; Hila Barak Levi; Prasanna Sattigeri; Rameswar Panda; Chun-Fu Chen 001; Alex M. Bronstein; et al. (ICCV, 2021)

Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging. - Tomer Weiss 002; Nissim Peretz; Sanketh Vedula; Arie Feuer; Alexander M. Bronstein (MLSP, 2021)

Spectral Geometric Matrix Completion. - Amit Boyarski; Sanketh Vedula; Alexander M. Bronstein (MSML, 2021)

Learning to Localize Objects Using Limited Annotation, With Applications to Thoracic Diseases. - Eyal Rozenberg; Daniel Freedman; Alex M. Bronstein (IEEE Access, 2021)

ISP Distillation. - Eli Schwartz; Alex M. Bronstein; Raja Giryes (CoRR, 2021)

Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals. - Eyal Rozenberg; Aviv Karnieli; Ofir Yesharim; Sivan Trajtenberg-Mills; Daniel Freedman; Alex M. Bronstein; Ady Arie (CoRR, 2021)

Self-Supervised Classification Network. - Elad Amrani; Alex M. Bronstein (CoRR, 2021)

Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples. - Nir Diamant; Nitsan Sandor; Alex M. Bronstein (CoRR, 2021)

SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits. - Eyal Rozenberg; Aviv Karnieli; Ofir Yesharim; Joshua Foley-Comer; Sivan Trajtenberg-Mills; Daniel Freedman; Alex M. Bronstein; Ady Arie (CoRR, 2021)

CAT: Compression-Aware Training for bandwidth reduction. - Chaim Baskin; Brian Chmiel; Evgenii Zheltonozhskii; Ron Banner; Alex M. Bronstein; Avi Mendelson (J. Mach. Learn. Res., 2021)

Loss aware post-training quantization. - Yury Nahshan; Brian Chmiel; Chaim Baskin; Evgenii Zheltonozhskii; Ron Banner; Alex M. Bronstein; Avi Mendelson (Mach. Learn., 2021)

MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. - Sivan Doveh; Eli Schwartz; Chao Xue; Rogério Feris; Alexander M. Bronstein; Raja Giryes; Leonid Karlinsky (Pattern Recognit. Lett., 2021)

Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. - Yaniv Nemcovsky; Matan Jacoby; Alex M. Bronstein; Chaim Baskin (ACCV (7), 2022)

Self-Supervised Classification Network. - Elad Amrani; Leonid Karlinsky; Alexander M. Bronstein (ECCV (31), 2022)

Mint: An Accelerator For Mining Temporal Motifs. - Nishil Talati; Haojie Ye; Sanketh Vedula; Kuan-Yu Chen 001; Yuhan Chen; Daniel Liu; Yichao Yuan; David T. Blaauw; Alex M. Bronstein; Trevor N. Mudge; Ronald G. Dreslinski (MICRO, 2022)

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. - Evgenii Zheltonozhskii; Chaim Baskin; Avi Mendelson; Alex M. Bronstein; Or Litany (WACV, 2022)

Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. - Peipei Kang; Zehang Lin; Zhenguo Yang; Xiaozhao Fang; Alexander M. Bronstein; Qing Li 001; Wenyin Liu (Appl. Intell., 2022)

Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. - Yaniv Nemcovsky; Matan Yaakoby; Alex M. Bronstein; Chaim Baskin (CoRR, 2022)

Threat Model-Agnostic Adversarial Defense using Diffusion Models. - Tsachi Blau; Roy Ganz; Bahjat Kawar; Alex M. Bronstein; Michael Elad (CoRR, 2022)

Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound. - Dan Navon; Alex M. Bronstein (CoRR, 2022)

Transformer Vs. MLP-Mixer Exponential Expressive Gap For NLP Problems. - Dan Navon; Alex M. Bronstein (CoRR, 2022)

Deep Reinforcement Learning for Scheduling and Power Allocation in a 5G Urban Mesh. - Barak Gahtan; Reuven Cohen; Alex M. Bronstein; Gil Kedar (CoRR, 2022)

Deep Isometric Maps. - Gautam Pai 001; Alex M. Bronstein; Ronen Talmon; Ron Kimmel (Image Vis. Comput., 2022)

Deep fused two-step cross-modal hashing with multiple semantic supervision. - Peipei Kang; Zehang Lin; Zhenguo Yang; Alexander M. Bronstein; Qing Li 001; Wenyin Liu (Multim. Tools Appl., 2022)

Horizontal Flows and Manifold Stochastics in Geometric Deep Learning. - Stefan Sommer; Alex M. Bronstein (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Baby steps towards few-shot learning with multiple semantics. - Eli Schwartz; Leonid Karlinsky; Rogério Feris; Raja Giryes; Alexander M. Bronstein (Pattern Recognit. Lett., 2022)

GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. - Haojie Ye; Sanketh Vedula; Yuhan Chen; Yichen Yang 005; Alex M. Bronstein; Ronald G. Dreslinski; Trevor N. Mudge; Nishil Talati (ASPLOS (3), 2023)

Fast Nonlinear Vector Quantile Regression. - Aviv A. Rosenberg; Sanketh Vedula; Yaniv Romano; Alexander M. Bronstein (ICLR, 2023)

Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation. - Dean Zadok; Oren Salzman; Alon Wolf; Alex M. Bronstein (ICRA, 2023)

Spectral Subgraph Localization. - Ama Bembua Bainson; Judith Hermanns; Petros Petsinis; Niklas Aavad; Casper Dam Larsen; Tiarnan Swayne; Amit Boyarski; Davide Mottin; Alex M. Bronstein; Panagiotis Karras (LoG, 2023)

Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI. - Tamir Shor; Tomer Weiss 002; Dor Noti; Alexander M. Bronstein (MIDL, 2023)

Using Deep Reinforcement Learning for mmWave Real-Time Scheduling. - Barak Gahtan; Reuven Cohen; Alex M. Bronstein; Gil Kedar (NoF, 2023)

Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI. - Tamir Shor; Tomer Weiss 002; Dor Noti; Alex M. Bronstein (CoRR, 2023)

Classifier Robustness Enhancement Via Test-Time Transformation. - Tsachi Blau; Roy Ganz; Chaim Baskin; Michael Elad; Alexander M. Bronstein (CoRR, 2023)

Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering. - Eyal Rozenberg; Aviv Karnieli; Ofir Yesharim; Joshua Foley-Comer; Sivan Trajtenberg-Mills; Sarika Mishra; Shashi Prabhakar; Ravindra Pratap Singh; Daniel Freedman; Alex M. Bronstein; Ady Arie (CoRR, 2023)

Guided diffusion for inverse molecular design. - Tomer Weiss 002; Eduardo Mayo Yanes; Sabyasachi Chakraborty; Luca Cosmo; Alex M. Bronstein; Renana Gershoni-Poranne (Nat. Comput. Sci., 2023)

Adversarial robustness via noise injection in smoothed models. - Yaniv Nemcovsky; Evgenii Zheltonozhskii; Chaim Baskin; Brian Chmiel; Alex M. Bronstein; Avi Mendelson (Appl. Intell., 2023)

GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. - Judith Hermanns; Konstantinos Skitsas; Anton Tsitsulin; Marina Munkhoeva; Alexander Frederiksen Kyster; Simon Nielsen; Alexander M. Bronstein; Davide Mottin; Panagiotis Karras (ACM Trans. Knowl. Discov. Data, 2023)

Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. - Yuhan Chen; Haojie Ye; Sanketh Vedula; Alex M. Bronstein; Ronald G. Dreslinski; Trevor N. Mudge; Nishil Talati (Proc. VLDB Endow., 2023)

Enhancing Predictive Accuracy in Embryo Implantation: The Bonna Algorithm and its Clinical Implications. - Gilad Rave; Daniel E. Fordham; Alex M. Bronstein; David H. Silver (AIiH (2), 2024)

Vector Quantile Regression on Manifolds. - Marco Pegoraro 002; Sanketh Vedula; Aviv Rosenberg 001; Irene Tallini; Emanuele Rodolà; Alex M. Bronstein (AISTATS, 2024)

Active propulsion noise shaping for multi-rotor aircraft localization. - Gabriele Serussi; Tamir Shor; Tom Hirshberg; Chaim Baskin; Alex M. Bronstein (IROS, 2024)

Data-Driven Cellular Network Selector for Vehicle Teleoperations. - Barak Gahtan; Reuven Cohen; Alex M. Bronstein; Eli Shapira (NoF, 2024)

Leveraging Latents for Efficient Thermography Classification and Segmentation. - Tamir Shor; Chaim Baskin; Alexander M. Bronstein (CoRR, 2024)

A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Schrodinger Equation. - Daniel Freedman; Eyal Rozenberg; Alex M. Bronstein (CoRR, 2024)

Scalable unsupervised alignment of general metric and non-metric structures. - Sanketh Vedula; Valentino Maiorca; Lorenzo Basile; Francesco Locatello; Alexander M. Bronstein (CoRR, 2024)

TEAM PILOT - Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories. - Tamir Shor; Chaim Baskin; Alexander M. Bronstein (CoRR, 2024)

Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis. - Barak Gahtan; Robert J. Sahala; Alex M. Bronstein; Reuven Cohen (CoRR, 2024)

Automatic Identification and Visualization of Group Training Activities Using Wearable Data. - Barak Gahtan; Shany Funk; Einat Kodesh; Itay Ketko; Tsvi Kuflik; Alex M. Bronstein (CoRR, 2024)

Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning. - Barak Gahtan; Robert J. Shahla; Reuven Cohen; Alex M. Bronstein (CoRR, 2024)

Beyond the Alphabet: Deep Signal Embedding for Enhanced DNA Clustering. - Hadas Abraham; Barak Gahtan; Adir Kobovich; Orian Leitersdorf; Alex M. Bronstein; Eitan Yaakobi (CoRR, 2024)

Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods. - Tsachi Blau; Moshe Kimhi; Yonatan Belinkov; Alexander M. Bronstein; Chaim Baskin (CoRR, 2024)

Generative modeling of protein ensembles guided by crystallographic electron densities. - Sai Advaith Maddipatla; Nadav Bojan Sellam; Sanketh Vedula; Ailie Marx; Alexander M. Bronstein (CoRR, 2024)

A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation. - Daniel Freedman; Eyal Rozenberg; Alex M. Bronstein (AAAI, 2025)

Sample- and Parameter-Efficient Auto-Regressive Image Models. - Elad Amrani; Leonid Karlinsky; Alex M. Bronstein (CVPR, 2025)

WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring. - Barak Gahtan; Shany Funk; Itay Ketko; Einat Kodesh; Tsvi Kuflik; Alex M. Bronstein (ICHI, 2025)

Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis. - Barak Gahtan; Robert J. Shahla; Reuven Cohen; Alex M. Bronstein (MeditCom, 2025)

Class-Conditioned Transformation for Enhanced Robust Image Classification. - Tsachi Blau; Roy Ganz; Chaim Baskin; Michael Elad; Alex M. Bronstein (WACV, 2025)

Adversarial Robustness in Parameter-Space Classifiers. - Tamir Shor; Ethan Fetaya; Chaim Baskin; Alexander M. Bronstein (CoRR, 2025)

On Adversarial Attacks In Acoustic Drone Localization. - Tamir Shor; Chaim Baskin; Alexander M. Bronstein (CoRR, 2025)

T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration. - Tamir Shor; Moti Freiman; Chaim Baskin; Alexander M. Bronstein (CoRR, 2025)

Smart Ankleband for Plug-and-Play Hand-Prosthetic Control. - Dean Zadok; Oren Salzman; Alon Wolf; Alex M. Bronstein (CoRR, 2025)

From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling. - Barak Gahtan; Sanketh Vedula; Gil Samuelly Leichtag; Einat Kodesh; Alex M. Bronstein (CoRR, 2025)

Representing local protein environments with atomistic foundation models. - Meital Bojan; Sanketh Vedula; Sai Advaith Maddipatla; Nadav Bojan Sellam; Federico Napoli; Paul Schanda; Alex M. Bronstein (CoRR, 2025)

Architecture-Aware Generalization Bounds for Temporal Networks: Theory and Fair Comparison Methodology. - Barak Gahtan; Alex M. Bronstein (CoRR, 2025)