Bronstein, Alex

13 publications

MIDL 2026 T1-PILOT: Physics-Informed Learned Optimized Trajectories for T1 Mapping Acceleration Tamir Shor, Moti Freiman, Chaim Baskin, Alex Bronstein

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

CVPR 2025 Sample- and Parameter-Efficient Auto-Regressive Image Models Elad Amrani, Leonid Karlinsky, Alex Bronstein

AISTATS 2024 Vector Quantile Regression on Manifolds Marco Pegoraro, Sanketh Vedula, Aviv A Rosenberg, Irene Tallini, Emanuele Rodola, Alex Bronstein

ECCV 2022 Self-Supervised Classification Network Elad Amrani, Leonid Karlinsky, Alex Bronstein

ICCV 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, Alex Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky

NeurIPS 2020 Robust Quantization: One Model to Rule Them All Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex Bronstein, Uri Weiser

ICLR 2020 The Shape of Data: Intrinsic Distance for Data Distributions Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alex Bronstein, Ivan Oseledets, Emmanuel Müller

CVPR 2018 Deformable Shape Completion with Graph Convolutional Autoencoders Or Litany, Alex Bronstein, Michael Bronstein, Ameesh Makadia

NeurIPS 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, Rogerio Feris, Raja Giryes, Alex Bronstein

ECCV 2018 ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks Qiang Qiu, Jose Lezama, Alex Bronstein, Guillermo Sapiro

ICCV 2017 Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany, Tal Remez, Emanuele Rodola, Alex Bronstein, Michael Bronstein

CVPR 2017 Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space Matthias Vestner, Roee Litman, Emanuele Rodola, Alex Bronstein, Daniel Cremers