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724 Publications
2021 |
Published |
Journal Article |
IST-REx-ID: 18236
Elul, Yonatan, Aviv A. Rosenberg, Assaf Schuster, Alex M. Bronstein, and Yael Yaniv. “Meeting the Unmet Needs of Clinicians from AI Systems Showcased for Cardiology with Deep-Learning–Based ECG Analysis.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2021. https://doi.org/10.1073/pnas.2020620118.
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2021 |
Published |
Journal Article |
IST-REx-ID: 18237 |
Baskin, Chaim, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, and Avi Mendelson. “UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks.” ACM Transactions on Computer Systems. Association for Computing Machinery, 2021. https://doi.org/10.1145/3444943.
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 18238 |
Karbachevsky, Alex, Chaim Baskin, Evgenii Zheltonozhskii, Yevgeny Yermolin, Freddy Gabbay, Alex M. Bronstein, and Avi Mendelson. “Early-Stage Neural Network Hardware Performance Analysis.” Sustainability. MDPI, 2021. https://doi.org/10.3390/su13020717.
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2021 |
Published |
Conference Paper |
IST-REx-ID: 18239 |
Arbelle, Assaf, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, et al. “Detector-Free Weakly Supervised Grounding by Separation.” In IEEE/CVF International Conference on Computer Vision, Vol. 15. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/iccv48922.2021.00182.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 18240 |
Dahary, Omer, Matan Jacoby, and Alex M. Bronstein. “Digital Gimbal: End-to-End Deep Image Stabilization with Learnable Exposure Times.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vol. 38. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/cvpr46437.2021.01176.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 18241 |
Weiss, Tomer, Nissim Peretz, Sanketh Vedula, Arie Feuer, and Alex M. Bronstein. “Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging.” In 31st International Workshop on Machine Learning for Signal Processing, Vol. 4. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/mlsp52302.2021.9596168.
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| arXiv
2021 |
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Book Chapter |
IST-REx-ID: 18242 |
Weiss, Tomer, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, and Alex M. Bronstein. “Towards Learned Optimal Q-Space Sampling in Diffusion MRI.” In Computational Diffusion MRI, edited by Noemi Gyori, Jana Hutter, Vishwesh Nath, Marco Palombo, Marco Pizzolato, and Fan Zhang, 13–28. Cham: Springer Nature, 2021. https://doi.org/10.1007/978-3-030-73018-5_2.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 18243
Hermanns, Judith, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, and Panagiotis Karras. “GRASP: Graph Alignment through Spectral Signatures.” In International Joint Conference on Asia-Pacific Web and Web-Age Information Management, 12858:44–52. Springer Nature, 2021. https://doi.org/10.1007/978-3-030-85896-4_4.
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2021 |
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Conference Paper |
IST-REx-ID: 18244 |
Livne, Amir, Ziv Aviv, Shahaf Grofit, Alex M. Bronstein, and Ron Kimmel. “Do We Need Depth in State-Uf-the-Art Face Authentication?” In 2020 International Conference on 3D Vision (3DV). IEEE, 2021. https://doi.org/10.1109/3dv50981.2020.00099.
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 7685 |
Boccato, Chiara. “The Excitation Spectrum of the Bose Gas in the Gross-Pitaevskii Regime.” Reviews in Mathematical Physics. World Scientific Publishing, 2021. https://doi.org/10.1142/S0129055X20600065.
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 7900 |
Benedikter, Niels P. “Bosonic Collective Excitations in Fermi Gases.” Reviews in Mathematical Physics. World Scientific Publishing, 2021. https://doi.org/10.1142/s0129055x20600090.
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 7901 |
Benedikter, Niels P, Phan Thành Nam, Marcello Porta, Benjamin Schlein, and Robert Seiringer. “Correlation Energy of a Weakly Interacting Fermi Gas.” Inventiones Mathematicae. Springer, 2021. https://doi.org/10.1007/s00222-021-01041-5.
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 7905 |
Brown, Adam, and Bei Wang. “Sheaf-Theoretic Stratification Learning from Geometric and Topological Perspectives.” Discrete and Computational Geometry. Springer Nature, 2021. https://doi.org/10.1007/s00454-020-00206-y.
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| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 7925 |
Shehu, Yekini, and Aviv Gibali. “New Inertial Relaxed Method for Solving Split Feasibilities.” Optimization Letters. Springer Nature, 2021. https://doi.org/10.1007/s11590-020-01603-1.
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2021 |
Published |
Journal Article |
IST-REx-ID: 7939 |
Censor-Hillel, Keren, Michal Dory, Janne Korhonen, and Dean Leitersdorf. “Fast Approximate Shortest Paths in the Congested Clique.” Distributed Computing. Springer Nature, 2021. https://doi.org/10.1007/s00446-020-00380-5.
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| arXiv
2021 |
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Book Chapter |
IST-REx-ID: 7941
Truckenbrodt, Sven M, and Silvio O. Rizzoli. “Simple Multi-Color Super-Resolution by X10 Microscopy.” In Methods in Cell Biology, 161:33–56. Elsevier, 2021. https://doi.org/10.1016/bs.mcb.2020.04.016.
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2021 |
Published |
Journal Article |
IST-REx-ID: 8196 |
Shehu, Yekini, Qiao-Li Dong, Lu-Lu Liu, and Jen-Chih Yao. “New Strong Convergence Method for the Sum of Two Maximal Monotone Operators.” Optimization and Engineering. Springer Nature, 2021. https://doi.org/10.1007/s11081-020-09544-5.
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2021 |
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Journal Article |
IST-REx-ID: 8198 |
Diringer, Asaf A., and Tobias Gulden. “Impact of Drive Harmonics on the Stability of Floquet Many-Body Localization.” Physical Review B. American Physical Society, 2021. https://doi.org/10.1103/PhysRevB.103.214204.
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| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 8248 |
Boissonnat, Jean-Daniel, Ramsay Dyer, Arijit Ghosh, Andre Lieutier, and Mathijs Wintraecken. “Local Conditions for Triangulating Submanifolds of Euclidean Space.” Discrete and Computational Geometry. Springer Nature, 2021. https://doi.org/10.1007/s00454-020-00233-9.
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2021 |
Published |
Journal Article |
IST-REx-ID: 8253 |
Zenke, Friedemann, and Tim P Vogels. “The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks.” Neural Computation. MIT Press, 2021. https://doi.org/10.1162/neco_a_01367.
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