Bronstein, Alex M.

15 publications

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

ICLRW 2025 Adversarial Robustness in Parameter-Space Classifiers Tamir Shor, Ethan Fetaya, Chaim Baskin, Alex M. Bronstein

ICMLW 2024 Active Propulsion Noise Shaping for Multi-Rotor Aircraft Localization Tamir Shor, Gabriele Serussi, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein

ICLRW 2023 A Machine Learning Approach to Generate Quantum Light 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

ICMLW 2023 Classifier Robustness Enhancement via Test-Time Transformation Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex M. Bronstein

ICLRW 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

LoG 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

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

JMLR 2021 CAT: Compression-Aware Training for Bandwidth Reduction Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson

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

MLJ 2021 Loss Aware Post-Training Quantization Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson

AAAI 2021 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

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

ICCVW 2019 Learning to Detect and Retrieve Objects from Unlabeled Videos Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein