Alexander M. Bronstein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
54
Venues
14
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
54 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Inverse problems with experiment-guided AlphaFold. | Sai Advaith Maddipatla, Nadav Bojan Sellam, Meital Bojan, Sanketh Vedula, Paul Schanda, Ailie Marx, Alexander M. Bronstein |
| 2023 | ICLR | Fast Nonlinear Vector Quantile Regression. | Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein |
| 2022 | ECCV | Self-Supervised Classification Network. | Elad Amrani, Leonid Karlinsky, Alexander M. Bronstein |
| 2021 | APWEB | GRASP: Graph Alignment Through Spectral Signatures. | Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras |
| 2020 | ICASSP | Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. | Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein |
| 2020 | ICLR | The Shape of Data: Intrinsic Distance for Data Distributions. | Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Mller |
| 2019 | CVPR | LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. | Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogrio Schmidt Feris, Raja Giryes, Alexander M. Bronstein |
| 2019 | CVPR | Unsupervised Learning of Dense Shape Correspondence. | Oshri Halimi, Or Litany, Emanuele Rodol, Alexander M. Bronstein, Ron Kimmel |
| 2019 | CVPR | RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. | Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogrio Schmidt Feris, Raja Giryes, Alexander M. Bronstein |
| 2019 | ICIP | 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 |
| 2019 | MICCAI | Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. | Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky |
| 2019 | WWW | Spectral Graph Complexity. | Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Mller |
| 2019 | WACV | DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. | Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel |
| 2018 | CVPR | Deformable Shape Completion With Graph Convolutional Autoencoders. | Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia |
| 2018 | ECCV | ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. | Qiang Qiu, Jos Lezama, Alexander M. Bronstein, Guillermo Sapiro |
| 2018 | ICASSP | The Learned Inexact Project Gradient Descent Algorithm. | Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro |
| 2018 | KDD | NetLSD: Hearing the Shape of a Graph. | Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Mller |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | 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 |
| 2017 | CVPR | Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. | Matthias Vestner, Roee Litman, Emanuele Rodol, Alexander M. Bronstein, Daniel Cremers |
| 2017 | ICCV | Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. | Or Litany, Tal Remez, Emanuele Rodol, Alexander M. Bronstein, Michael M. Bronstein |
| 2017 | ICIP | Deep class-aware image denoising. | Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein |
| 2017 | MICCAI | White Matter Fiber Representation Using Continuous Dictionary Learning. | Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes |
| 2017 | SIGGRAPH | Computing and processing correspondences with functional maps. | Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodol, Mirela Ben-Chen, Leonidas J. Guibas, Frdric Chazal, Alexander M. Bronstein |
| 2016 | ICCP | A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. | Tal Remez, Or Litany, Alexander M. Bronstein |
| 2016 | SIGGRAPH | Computing and processing correspondences with functional maps. | Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodol, Mirela Ben-Chen, Leonidas J. Guibas, Frdric Chazal, Alexander M. Bronstein |
| 2015 | CVPR | Inverting RANSAC: Global model detection via inlier rate estimation. | Roee Litman, Simon Korman, Alexander M. Bronstein, Shai Avidan |
| 2015 | ICIP | Intel realsense = Real low cost gaze. | Mark Draelos, Qiang Qiu, Alexander M. Bronstein, Guillermo Sapiro |
| 2014 | ICIP | Real-time compressed imaging of scattering volumes. | Ohad Menashe, Alexander M. Bronstein |
| 2013 | ICASSP | Learnable low rank sparse models for speech denoising. | Pablo Sprechmann, Alexander M. Bronstein, Michael M. Bronstein, Guillermo Sapiro |
| 2013 | ICASSP | Audio restoration from multiple copies. | Pablo Sprechmann, Alexander M. Bronstein, Jean-Michel Morel, Guillermo Sapiro |
| 2012 | CVPR | Intrinsic shape context descriptors for deformable shapes. | Iasonas Kokkinos, Michael M. Bronstein, Roee Litman, Alexander M. Bronstein |
| 2012 | CVPR | A game-theoretic approach to deformable shape matching. | Emanuele Rodol, Alexander M. Bronstein, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello |
| 2012 | ECCV | Stable Spectral Mesh Filtering. | Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein |
| 2012 | ECCV | Putting the Pieces Together: Regularized Multi-part Shape Matching. | Or Litany, Alexander M. Bronstein, Michael M. Bronstein |
| 2012 | ECCV | Group-Valued Regularization for Analysis of Articulated Motion. | Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, Ron Kimmel |
| 2012 | ICML | Learning Efficient Structured Sparse Models. | Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro |
| 2011 | CVPR | Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. | Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Nir A. Sochen |
| 2010 | CVPR | Data fusion through cross-modality metric learning using similarity-sensitive hashing. | Michael M. Bronstein, Alexander M. Bronstein, Fabrice Michel, Nikos Paragios |
| 2010 | ECCV | Spatially-Sensitive Affine-Invariant Image Descriptors. | Alexander M. Bronstein, Michael M. Bronstein |
| 2010 | ECCV | Intrinsic Regularity Detection in 3D Geometry. | Niloy J. Mitra, Alexander M. Bronstein, Michael M. Bronstein |
| 2008 | CVPR | Not only size matters: Regularized partial matching of nonrigid shapes. | Alexander M. Bronstein, Michael M. Bronstein |
| 2008 | ECCV | Regularized Partial Matching of Rigid Shapes. | Alexander M. Bronstein, Michael M. Bronstein |
| 2007 | ICCV | Rock, Paper, and Scissors: extrinsic vs. intrinsic similarity of non-rigid shapes. | Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel |
| 2007 | ICCV | Symmetries of non-rigid shapes. | Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel |
| 2006 | ECCV | Robust Expression-Invariant Face Recognition from Partially Missing Data. | Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel |
| 2005 | ICIP | Expression-invariant face recognition via spherical embedding. | Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel |
| 2005 | ICIP | "Unmixing" tissues: sparse component analysis in multi-contrast MRI. | Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi |
| 2004 | ECCV | Face Recognition from Facial Surface Metric. | Alexander M. Bronstein, Michael M. Bronstein, Alon Spira, Ron Kimmel |
| 2004 | ICIP | Fusion of 2D and 3D data in three-dimensional face recognition. | Alexander M. Bronstein, Michael M. Bronstein, Eyal Gordon, Ron Kimmel |
| 2004 | ICIP | Optimal sparse representations for blind source separation and blind deconvolution: a learning approach. | Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi |
| 2004 | ICIP | Fast relative newton algorithm for blind deconvolution of images. | Alexander M. Bronstein, Michael Zibulevsky, Michael M. Bronstein, Yehoshua Y. Zeevi |
| 2003 | ICASSP | Separation of semireflective layers using sparse ICA. | Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi |
| 2003 | ICIP | Separation of reflections via sparse ICA. | Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi |