Alex M. Bronstein

93 papers A* 9A 5B 3C 1Misc 1Journal 60Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Attacks in Weight-Space Classifiers. Trans. Mach. Learn. Res. Tamir Shor, Ethan Fetaya, Chaim Baskin, Alex M. Bronstein
2026	J	`jnl`	DigiArm: An Anthropomorphic 3D-Printed Prosthetic Hand with Enhanced Dexterity for Typing Tasks. CoRR Dean Zadok, Tom Naamani, Yuval Bar-Ratson, Elisha Barash, Oren Salzman, Alon Wolf, Alex M. Bronstein, Nili Krausz
2026	J	`jnl`	Inference-time optimization for experiment-grounded protein ensemble generation. CoRR Sai Advaith Maddipatla, Anar Rzayev, Marco Pegoraro, Martin Pacesa, Paul Schanda, Ailie Marx, Sanketh Vedula, Alex M. Bronstein
2026	J	`jnl`	On Adversarial Attacks In Acoustic Localization. Trans. Mach. Learn. Res. Tamir Shor, Chaim Baskin, Alex M. Bronstein
2026	J	`jnl`	Wildfire Simulation with Differentiable Randers-Finsler Eikonal Solvers. CoRR Barak Gahtan, Jacob Shpund, Alex M. Bronstein
2025	A*	`conf`	A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation. AAAI Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein
2025	J	`jnl`	Architecture-Aware Generalization Bounds for Temporal Networks: Theory and Fair Comparison Methodology. CoRR Barak Gahtan, Alex M. Bronstein
2025	A	`conf`	Class-Conditioned Transformation for Enhanced Robust Image Classification. WACV Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex M. Bronstein
2025	—	`conf`	Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis. MeditCom Barak Gahtan, Robert J. Shahla, Reuven Cohen, Alex M. Bronstein
2025	B	`conf`	From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling. ICMI Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh, Alex M. Bronstein
2025	J	`jnl`	From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling. CoRR Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh, Alex M. Bronstein
2025	J	`jnl`	Representing local protein environments with atomistic foundation models. CoRR Meital Bojan, Sanketh Vedula, Sai Advaith Maddipatla, Nadav Bojan Sellam, Federico Napoli, Paul Schanda, Alex M. Bronstein
2025	A*	`conf`	Sample- and Parameter-Efficient Auto-Regressive Image Models. CVPR Elad Amrani, Leonid Karlinsky, Alex M. Bronstein
2025	C	`conf`	Smart Ankleband for Plug-and-Play Hand-Prosthetic Control. BSN Dean Zadok, Oren Salzman, Alon Wolf, Alex M. Bronstein
2025	J	`jnl`	Smart Ankleband for Plug-and-Play Hand-Prosthetic Control. CoRR Dean Zadok, Oren Salzman, Alon Wolf, Alex M. Bronstein
2025	—	`conf`	WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring. ICHI Barak Gahtan, Shany Funk, Itay Ketko, Einat Kodesh, Tsvi Kuflik, Alex M. Bronstein
2024	J	`jnl`	A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Schrodinger Equation. CoRR Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein
2024	A	`conf`	Active propulsion noise shaping for multi-rotor aircraft localization. IROS Gabriele Serussi, Tamir Shor, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein
2024	J	`jnl`	Active propulsion noise shaping for multi-rotor aircraft localization. CoRR Gabriele Serussi, Tamir Shor, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein
2024	J	`jnl`	Automatic Identification and Visualization of Group Training Activities Using Wearable Data. CoRR Barak Gahtan, Shany Funk, Einat Kodesh, Itay Ketko, Tsvi Kuflik, Alex M. Bronstein
2024	J	`jnl`	Beyond the Alphabet: Deep Signal Embedding for Enhanced DNA Clustering. CoRR Hadas Abraham, Barak Gahtan, Adir Kobovich, Orian Leitersdorf, Alex M. Bronstein, Eitan Yaakobi
2024	—	`conf`	Data-Driven Cellular Network Selector for Vehicle Teleoperations. NoF Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Eli Shapira
2024	J	`jnl`	Data-Driven Cellular Network Selector for Vehicle Teleoperations. CoRR Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Eli Shapira
2024	—	`conf`	Enhancing Predictive Accuracy in Embryo Implantation: The Bonna Algorithm and its Clinical Implications. AIiH (2) Gilad Rave, Daniel E. Fordham, Alex M. Bronstein, David H. Silver
2024	J	`jnl`	Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning. CoRR Barak Gahtan, Robert J. Shahla, Reuven Cohen, Alex M. Bronstein
2024	J	`jnl`	Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis. CoRR Barak Gahtan, Robert J. Sahala, Alex M. Bronstein, Reuven Cohen
2024	A	`conf`	Vector Quantile Regression on Manifolds. AISTATS Marco Pegoraro, Sanketh Vedula, Aviv Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein
2023	J	`jnl`	Adversarial robustness via noise injection in smoothed models. Appl. Intell. Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alex M. Bronstein, Avi Mendelson
2023	J	`jnl`	Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. CoRR Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023	J	`jnl`	Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. Proc. VLDB Endow. Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023	J	`jnl`	Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering. CoRR 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
2023	—	`conf`	GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. ASPLOS (3) Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023	J	`jnl`	Guided diffusion for inverse molecular design. Nat. Comput. Sci. Tomer Weiss, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M. Bronstein, Renana Gershoni-Poranne
2023	J	`jnl`	Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI. CoRR Tamir Shor, Tomer Weiss, Dor Noti, Alex M. Bronstein
2023	—	`conf`	Spectral Subgraph Localization. LoG Ama Bembua Bainson, Judith Hermanns, Petros Petsinis, Niklas Aavad, Casper Dam Larsen, Tiarnan Swayne, Amit Boyarski, Davide Mottin, Alex M. Bronstein, Panagiotis Karras
2023	A*	`conf`	Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation. ICRA Dean Zadok, Oren Salzman, Alon Wolf, Alex M. Bronstein
2023	—	`conf`	Using Deep Reinforcement Learning for mmWave Real-Time Scheduling. NoF Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Gil Kedar
2023	J	`jnl`	Vector Quantile Regression on Manifolds. CoRR Marco Pegoraro, Sanketh Vedula, Aviv A. Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein
2022	A	`conf`	Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. WACV Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany
2022	J	`jnl`	Deep Isometric Maps. Image Vis. Comput. Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel
2022	J	`jnl`	Deep Reinforcement Learning for Scheduling and Power Allocation in a 5G Urban Mesh. CoRR Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Gil Kedar
2022	J	`jnl`	Fast Nonlinear Vector Quantile Regression. CoRR Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alex M. Bronstein
2022	J	`jnl`	Horizontal Flows and Manifold Stochastics in Geometric Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. Stefan Sommer, Alex M. Bronstein
2022	A*	`conf`	Mint: An Accelerator For Mining Temporal Motifs. MICRO Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex M. Bronstein, Trevor N. Mudge, Ronald G. Dreslinski
2022	—	`conf`	Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. ACCV (7) Yaniv Nemcovsky, Matan Jacoby, Alex M. Bronstein, Chaim Baskin
2022	J	`jnl`	Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. CoRR Yaniv Nemcovsky, Matan Yaakoby, Alex M. Bronstein, Chaim Baskin
2022	J	`jnl`	Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound. CoRR Dan Navon, Alex M. Bronstein
2022	J	`jnl`	Threat Model-Agnostic Adversarial Defense using Diffusion Models. CoRR Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex M. Bronstein, Michael Elad
2022	J	`jnl`	Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation. CoRR Dean Zadok, Oren Salzman, Alon Wolf, Alex M. Bronstein
2022	J	`jnl`	Transformer Vs. MLP-Mixer Exponential Expressive Gap For NLP Problems. CoRR Dan Navon, Alex M. Bronstein
2021	J	`jnl`	CAT: Compression-Aware Training for bandwidth reduction. J. Mach. Learn. Res. Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
2021	J	`jnl`	Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. CoRR Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany
2021	J	`jnl`	Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples. CoRR Nir Diamant, Nitsan Sandor, Alex M. Bronstein
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV 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 M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR 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 M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	A*	`conf`	Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times. CVPR Omer Dahary, Matan Jacoby, Alex M. Bronstein
2021	J	`jnl`	GRASP: Graph Alignment through Spectral Signatures. CoRR Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, Panagiotis Karras
2021	J	`jnl`	ISP Distillation. CoRR Eli Schwartz, Alex M. Bronstein, Raja Giryes
2021	J	`jnl`	Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals. CoRR Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie
2021	J	`jnl`	Joint optimization of system design and reconstruction in MIMO radar imaging. CoRR Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alex M. Bronstein
2021	J	`jnl`	Learning to Localize Objects Using Limited Annotation, With Applications to Thoracic Diseases. IEEE Access Eyal Rozenberg, Daniel Freedman, Alex M. Bronstein
2021	J	`jnl`	Loss aware post-training quantization. Mach. Learn. Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
2021	A*	`conf`	Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. AAAI Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein
2021	J	`jnl`	SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits. CoRR Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie
2021	J	`jnl`	Self-Supervised Classification Network. CoRR Elad Amrani, Alex M. Bronstein
2021	A*	`conf`	StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes
2020	—	`conf`	3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. MLMIR@MICCAI Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex M. Bronstein
2020	J	`jnl`	Colored Noise Injection for Training Adversarially Robust Neural Networks. CoRR Evgenii Zheltonozhskii, Chaim Baskin, Yaniv Nemcovsky, Brian Chmiel, Avi Mendelson, Alex M. Bronstein
2020	J	`jnl`	Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?". IEEE Trans. Signal Process. Raja Giryes, Guillermo Sapiro, Alex M. Bronstein
2020	J	`jnl`	Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging. CoRR 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
2020	J	`jnl`	Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times. CoRR Omer Dahary, Matan Jacoby, Alex M. Bronstein
2020	—	`conf`	Do We Need Depth in State-Of-The-Art Face Authentication? 3DV Amir Livne, Ziv Aviv, Shahaf Grofit, Alex M. Bronstein, Ron Kimmel
2020	B	`conf`	Feature Map Transform Coding for Energy-Efficient CNN Inference. IJCNN Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson
2020	J	`jnl`	HCM: Hardware-Aware Complexity Metric for Neural Network Architectures. CoRR Alex Karbachevsky, Chaim Baskin, Evgenii Zheltonozhskii, Yevgeny Yermolin, Freddy Gabbay, Alex M. Bronstein, Avi Mendelson
2020	J	`jnl`	Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. CoRR Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein
2020	J	`jnl`	Non-Rigid Puzzles. CoRR Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers
2020	J	`jnl`	Overparameterized Models for Vector Fields. SIAM J. Imaging Sci. Keren Rotker, Dafna Ben-Bashat, Alex M. Bronstein
2020	A*	`conf`	Robust Quantization: One Model to Rule Them All. NeurIPS Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex M. Bronstein, Uri C. Weiser
2020	J	`jnl`	Self-Supervised Learning for Large-Scale Unsupervised Image Clustering. CoRR Evgenii Zheltonozhskii, Chaim Baskin, Alex M. Bronstein, Avi Mendelson
2020	—	`conf`	Self-Supervised Object Detection and Retrieval Using Unlabeled Videos. CVPR Workshops Elad Amrani, Rami Ben-Ari, Inbar Shapira, Tal Hakim, Alex M. Bronstein
2020	J	`jnl`	SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera. CoRR Nir Diamant, Tal Mund, Ohad Menashe, Aviad Zabatani, Alex M. Bronstein
2020	J	`jnl`	Towards learned optimal q-space sampling in diffusion MRI. CoRR Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Alex M. Bronstein
2019	J	`jnl`	Deep geometric matrix completion: Are we doing it right? CoRR Amit Boyarski, Sanketh Vedula, Alex M. Bronstein
2019	J	`jnl`	Horizontal Flows and Manifold Stochastics in Geometric Deep Learning. CoRR Stefan Sommer, Alex M. Bronstein
2019	—	`conf`	Learning to Detect and Retrieve Objects From Unlabeled Videos. ICCV Workshops Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein
2019	—	`conf`	Localization with Limited Annotation for Chest X-rays. ML4H@NeurIPS Eyal Rozenberg, Daniel Freedman, Alex M. Bronstein
2019	J	`jnl`	Toward Self-Supervised Object Detection in Unlabeled Videos. CoRR Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein
2019	J	`jnl`	UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks. ACM Trans. Comput. Syst. Chaim Baskin, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, Avi Mendelson
2018	—	`conf`	Functional Maps on Product Manifolds. SGP (Posters) Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon
2016	J	`jnl`	Sparsity and Nullity: Paradigms for Analysis Dictionary Learning. SIAM J. Imaging Sci. Xiao Bian, Hamid Krim, Alex M. Bronstein, Liyi Dai
2015	Misc	`conf`	Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis. ICASSP Xiao Bian, Hamid Krim, Alex M. Bronstein, Liyi Dai
2012	B	`conf`	Fast Keyword Searching Using 'BoostMap' Based Embedding. ICFHR Raid Saabni, Alex M. Bronstein
2011	A	`conf`	Fast Key-Word Searching via Embedding and Active-DTW. ICDAR Raid Saabni, Alex M. Bronstein