Alex M. Bronstein

Bronstein Group

53 Publications

Mark all

[53]
2024 | Published | Journal Article | IST-REx-ID: 18205 | OA
Wengrowicz, O., Bronstein, A. M., & Cohen, O. (2024). Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography. Optics Express. Optica Publishing Group. https://doi.org/10.1364/oe.515445
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[52]
2024 | Published | Conference Paper | IST-REx-ID: 18206
Rave, G., Fordham, D. E., Bronstein, A. M., & Silver, D. H. (2024). Enhancing predictive accuracy in embryo implantation: The Bonna algorithm and its clinical implications. In First International Conference on Artificial Intelligence in Healthcare (Vol. 14976, pp. 160–171). Swansea, United Kingdom: Springer Nature. https://doi.org/10.1007/978-3-031-67285-9_12
View | DOI
 
[51]
2024 | Published | Journal Article | IST-REx-ID: 18203 | OA
Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2024). A dataset of alternately located segments in protein crystal structures. Scientific Data. Springer Nature. https://doi.org/10.1038/s41597-024-03595-4
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[50]
2024 | Published | Journal Article | IST-REx-ID: 18204 | OA
Elul, Y., Rozenberg, E., Boyarski, A., Yaniv, Y., Schuster, A., & Bronstein, A. M. (2024). Data-driven modeling of interrelated dynamical systems. Communications Physics. Springer Nature. https://doi.org/10.1038/s42005-024-01626-5
[Published Version] View | DOI | Download Published Version (ext.)
 
[49]
2023 | Published | Journal Article | IST-REx-ID: 18207 | OA
Bronstein, A. M., & Marx, A. (2023). Water stabilizes an alternate turn conformation in horse heart myoglobin. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-023-32821-z
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[48]
2023 | Published | Journal Article | IST-REx-ID: 18208 | OA
Weiss, T., Mayo Yanes, E., Chakraborty, S., Cosmo, L., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Guided diffusion for inverse molecular design. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-023-00532-0
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[47]
2023 | Published | Journal Article | IST-REx-ID: 18209 | OA
Weiss, T., Wahab, A., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons. The Journal of Organic Chemistry. American Chemical Society. https://doi.org/10.1021/acs.joc.2c02381
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[46]
2023 | Published | Conference Paper | IST-REx-ID: 18212
Ye, H., Vedula, S., Chen, Y., Yang, Y., Bronstein, A. M., Dreslinski, R., … Talati, N. (2023). GRACE: A scalable graph-based approach to accelerating recommendation model inference. In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (Vol. 11, pp. 282–301). Association for Computing Machinery. https://doi.org/10.1145/3582016.3582029
View | Files available | DOI
 
[45]
2023 | Published | Journal Article | IST-REx-ID: 18213
Hermanns, J., Skitsas, K., Tsitsulin, A., Munkhoeva, M., Kyster, A., Nielsen, S., … Karras, P. (2023). GRASP: Scalable graph alignment by spectral corresponding functions. ACM Transactions on Knowledge Discovery from Data. Association for Computing Machinery. https://doi.org/10.1145/3561058
View | DOI
 
[44]
2023 | Published | Journal Article | IST-REx-ID: 18214 | OA
Chen, Y., Ye, H., Vedula, S., Bronstein, A. M., Dreslinski, R., Mudge, T., & Talati, N. (2023). Demystifying graph sparsification algorithms in graph properties preservation. Proceedings of the VLDB Endowment. Association for Computing Machinery. https://doi.org/10.14778/3632093.3632106
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[43]
2023 | Published | Conference Paper | IST-REx-ID: 18215 | OA
Gahtan, B., Cohen, R., Bronstein, A. M., & Kedar, G. (2023). Using deep reinforcement learning for mmWave real-time scheduling. In 14th International Conference on Network of the Future (pp. 71–79). Izmir, Turkiye: IEEE. https://doi.org/10.1109/nof58724.2023.10302794
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[42]
2023 | Published | Journal Article | IST-REx-ID: 18216 | OA
Rosenberg, A. A., Yehishalom, N., Marx, A., & Bronstein, A. M. (2023). An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units. Proceedings of the National Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.2301064120
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[41]
2023 | Published | Conference Paper | IST-REx-ID: 18217 | OA
Zadok, D., Salzman, O., Wolf, A., & Bronstein, A. M. (2023). Towards predicting fine finger motions from ultrasound images via kinematic representation. In 2023 IEEE International Conference on Robotics and Automation (Vol. 27). London, United Kingdom: IEEE. https://doi.org/10.1109/icra48891.2023.10160601
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[40]
2023 | Published | Conference Paper | IST-REx-ID: 18218 | OA
Nemcovsky, Y., Jacoby, M., Bronstein, A. M., & Baskin, C. (2023). Physical passive patch adversarial attacks on visual odometry systems. In 16th Asian Conference on Computer Vision (Vol. 13847, pp. 518–534). Macao, China: Springer Nature. https://doi.org/10.1007/978-3-031-26293-7_31
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[39]
2023 | Published | Journal Article | IST-REx-ID: 18219 | OA
Schwartz, E., Bronstein, A. M., & Giryes, R. (2023). ISP Distillation. IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ojsp.2023.3239819
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[38]
2022 | Published | Journal Article | IST-REx-ID: 18221 | OA
Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022). Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-022-30390-9
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[37]
2022 | Published | Journal Article | IST-REx-ID: 18220 | OA
Ackerman-Schraier, L., Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022). Machine learning approaches demonstrate that protein structures carry information about their genetic coding. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-022-25874-z
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[36]
2022 | Published | Journal Article | IST-REx-ID: 18222 | OA
Fordham, D. E., Rosentraub, D., Polsky, A. L., Aviram, T., Wolf, Y., Perl, O., … Munné, S. (2022). Embryologist agreement when assessing blastocyst implantation probability: Is data-driven prediction the solution to embryo assessment subjectivity? Human Reproduction. Oxford University Press. https://doi.org/10.1093/humrep/deac171
[Published Version] View | DOI | Download Published Version (ext.)
 
[35]
2022 | Published | Journal Article | IST-REx-ID: 18226 | OA
Rozenberg, E., Karnieli, A., Yesharim, O., Foley-Comer, J., Trajtenberg-Mills, S., Freedman, D., … Arie, A. (2022). Inverse design of spontaneous parametric downconversion for generation of high-dimensional qudits. Optica. Optica Publishing Group. https://doi.org/10.1364/optica.451115
[Published Version] View | DOI | Download Published Version (ext.)
 
[34]
2022 | Published | Journal Article | IST-REx-ID: 18224 | OA
Schwartz, E., Karlinsky, L., Feris, R., Giryes, R., & Bronstein, A. M. (2022). Baby steps towards few-shot learning with multiple semantics. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2022.06.012
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[33]
2022 | Published | Journal Article | IST-REx-ID: 18225 | OA
Pai, G., Bronstein, A. M., Talmon, R., & Kimmel, R. (2022). Deep isometric maps. Image and Vision Computing. Elsevier. https://doi.org/10.1016/j.imavis.2022.104461
[Published Version] View | DOI | Download Published Version (ext.)
 
[32]
2022 | Published | Journal Article | IST-REx-ID: 18227
Kang, P., Lin, Z., Yang, Z., Bronstein, A. M., Li, Q., & Liu, W. (2022). Deep fused two-step cross-modal hashing with multiple semantic supervision. Multimedia Tools and Applications. Springer Nature. https://doi.org/10.1007/s11042-022-12187-6
View | DOI
 
[31]
2022 | Published | Book Chapter | IST-REx-ID: 18223
Rosenberg, A. A., Bronstein, A. M., & Marx, A. (2022). Recording Silence – Accurate Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects Protein Structure and Disease. In Z. E. Sauna & C. Kimchi-Sarfaty (Eds.), Single Nucleotide Polymorphisms (pp. 37–47). Cham: Springer Nature. https://doi.org/10.1007/978-3-031-05616-1_3
View | DOI
 
[30]
2022 | Published | Journal Article | IST-REx-ID: 18211
Nemcovsky, Y., Zheltonozhskii, E., Baskin, C., Chmiel, B., Bronstein, A. M., & Mendelson, A. (2022). Adversarial robustness via noise injection in smoothed models. Applied Intelligence. Springer Nature. https://doi.org/10.1007/s10489-022-03423-5
View | DOI
 
[29]
2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
Amrani, E., Karlinsky, L., & Bronstein, A. M. (2022). Self-supervised classification network. In 17th European Conference on Computer Vision (Vol. 13691, pp. 116–132). Tel Aviv, Israel: Springer Nature. https://doi.org/10.1007/978-3-031-19821-2_7
View | Files available | DOI | Download None (ext.) | arXiv
 
[28]
2022 | Published | Conference Paper | IST-REx-ID: 18230
Talati, N., Ye, H., Vedula, S., Chen, K.-Y., Chen, Y., Liu, D., … Dreslinski, R. (2022). Mint: An accelerator for mining temporal motifs. In 55th IEEE/ACM International Symposium on Microarchitecture. Chicago, IL, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/micro56248.2022.00089
View | DOI
 
[27]
2022 | Published | Conference Paper | IST-REx-ID: 18231
Zheltonozhskii, E., Baskin, C., Mendelson, A., Bronstein, A. M., & Litany, O. (2022). Contrast to divide: Self-supervised pre-training for learning with noisy labels. In IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 387–397). Waikoloa, HI, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/wacv51458.2022.00046
[Preprint] View | Files available | DOI | arXiv
 
[26]
2022 | Published | Journal Article | IST-REx-ID: 18232
Kang, P., Lin, Z., Yang, Z., Fang, X., Bronstein, A. M., Li, Q., & Liu, W. (2022). Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. Applied Intelligence. Springer Nature. https://doi.org/10.1007/s10489-021-02308-3
View | DOI
 
[25]
2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, C., Zheltonozhkii, E., Rozen, T., Liss, N., Chai, Y., Schwartz, E., … Mendelson, A. (2021). NICE: Noise Injection and Clamping Estimation for neural network quantization. Mathematics. MDPI. https://doi.org/10.3390/math9172144
[Published Version] View | DOI | arXiv
 
[24]
2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
Doveh, S., Schwartz, E., Xue, C., Feris, R., Bronstein, A. M., Giryes, R., & Karlinsky, L. (2021). MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2021.05.010
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[23]
2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Nahshan, Y., Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Bronstein, A. M., & Mendelson, A. (2021). Loss aware post-training quantization. Machine Learning. Springer Nature. https://doi.org/10.1007/s10994-021-06053-z
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[22]
2021 | Published | Conference Paper | IST-REx-ID: 18239 | OA
Arbelle, A., Doveh, S., Alfassy, A., Shtok, J., Lev, G., Schwartz, E., … Karlinsky, L. (2021). Detector-free weakly supervised grounding by separation. In IEEE/CVF International Conference on Computer Vision (Vol. 15). Montreal, Canada: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iccv48922.2021.00182
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2021 | Published | Journal Article | IST-REx-ID: 18236
Elul, Y., Rosenberg, A. A., Schuster, A., Bronstein, A. M., & Yaniv, Y. (2021). 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. https://doi.org/10.1073/pnas.2020620118
[Published Version] View | DOI | PubMed | Europe PMC
 
[20]
2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
Dahary, O., Jacoby, M., & Bronstein, A. M. (2021). Digital gimbal: End-to-end deep image stabilization with learnable exposure times. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (Vol. 38). Nashville, TN, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cvpr46437.2021.01176
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[19]
2021 | Published | Journal Article | IST-REx-ID: 18237 | OA
Baskin, C., Liss, N., Schwartz, E., Zheltonozhskii, E., Giryes, R., Bronstein, A. M., & Mendelson, A. (2021). UNIQ: Uniform Noise Injection for Non-Uniform Quantization of neural networks. ACM Transactions on Computer Systems. Association for Computing Machinery. https://doi.org/10.1145/3444943
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[18]
2021 | Published | Journal Article | IST-REx-ID: 18238 | OA
Karbachevsky, A., Baskin, C., Zheltonozhskii, E., Yermolin, Y., Gabbay, F., Bronstein, A. M., & Mendelson, A. (2021). Early-stage neural network hardware performance analysis. Sustainability. MDPI. https://doi.org/10.3390/su13020717
[Published Version] View | DOI | Download Published Version (ext.)
 
[17]
2021 | Published | Book Chapter | IST-REx-ID: 18242 | OA
Weiss, T., Vedula, S., Senouf, O., Michailovich, O., & Bronstein, A. M. (2021). Towards learned optimal q-space sampling in diffusion MRI. In N. Gyori, J. Hutter, V. Nath, M. Palombo, M. Pizzolato, & F. Zhang (Eds.), Computational Diffusion MRI (pp. 13–28). Cham: Springer Nature. https://doi.org/10.1007/978-3-030-73018-5_2
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[16]
2021 | Published | Conference Paper | IST-REx-ID: 18241 | OA
Weiss, T., Peretz, N., Vedula, S., Feuer, A., & Bronstein, A. M. (2021). Joint optimization of system design and reconstruction in MIMO radar imaging. In 31st International Workshop on Machine Learning for Signal Processing (Vol. 4). Gold Coast, Australia: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/mlsp52302.2021.9596168
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[15]
2020 | Published | Journal Article | IST-REx-ID: 18228 | OA
Sommer, S., & Bronstein, A. M. (2020). Horizontal flows and manifold stochastics in geometric deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2020.2994507
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[14]
2020 | Published | Journal Article | IST-REx-ID: 18245
Zabatani, A., Surazhsky, V., Sperling, E., Moshe, S. B., Menashe, O., Silver, D. H., … Kimmel, R. (2020). Intel® RealSenseTM SR300 coded light depth camera. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2019.2915841
View | DOI | PubMed | Europe PMC
 
[13]
2020 | Published | Journal Article | IST-REx-ID: 18250 | OA
Choukroun, Y., Shtern, A., Bronstein, A. M., & Kimmel, R. (2020). Hamiltonian operator for spectral shape analysis. IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tvcg.2018.2867513
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[12]
2020 | Published | Journal Article | IST-REx-ID: 18246
Mariani, G., Cosmo, L., Bronstein, A. M., & Rodolà, E. (2020). Generating adversarial surfaces via band‐limited perturbations. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14083
View | DOI
 
[11]
2020 | Published | Journal Article | IST-REx-ID: 18252
Rotker, K., Bashat, D. B., & Bronstein, A. M. (2020). Overparameterized models for vector fields. SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics. https://doi.org/10.1137/19m1280697
View | DOI
 
[10]
2020 | Published | Journal Article | IST-REx-ID: 18253 | OA
Arbel, M., Bronstein, A. M., Sau, S., Liefshitz, B., & Kupiec, M. (2020). Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. MBio. American Society for Microbiology. https://doi.org/10.1128/mbio.00705-20
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[9]
2019 | Published | Journal Article | IST-REx-ID: 18264 | OA
Schwartz, E., Giryes, R., & Bronstein, A. M. (2019). DeepISP: Toward learning an end-to-end image processing pipeline. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2018.2872858
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[8]
2019 | Published | Journal Article | IST-REx-ID: 18263 | OA
Rodolà, E., Lähner, Z., Bronstein, A. M., Bronstein, M. M., & Solomon, J. (2019). Functional maps representation on product manifolds. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.13598
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
Remez, T., Litany, O., Giryes, R., & Bronstein, A. M. (2018). Class-aware fully convolutional Gaussian and Poisson denoising. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2018.2859044
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[6]
2007 | Published | Journal Article | IST-REx-ID: 18367
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Weighted distance maps computation on parametric three-dimensional manifolds. Journal of Computational Physics. Elsevier. https://doi.org/10.1016/j.jcp.2007.01.009
View | DOI
 
[5]
2006 | Published | Journal Article | IST-REx-ID: 18408
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Expression-invariant representations of faces. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2006.884940
View | DOI | PubMed | Europe PMC
 
[4]
2006 | Published | Journal Article | IST-REx-ID: 18370
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching. PNAS. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0508601103
View | DOI | PubMed | Europe PMC
 
[3]
2005 | Published | Journal Article | IST-REx-ID: 18407
Bronstein, M. M., Bronstein, A. M., Zibulevsky, M., & Zeevi, Y. Y. (2005). Blind deconvolution of images using optimal sparse representations. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2005.847322
View | DOI | PubMed | Europe PMC
 
[2]
2005 | Published | Journal Article | IST-REx-ID: 18354
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2005). Three-dimensional face recognition. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-005-1085-y
View | DOI
 
[1]
2002 | Published | Journal Article | IST-REx-ID: 18369
Bronstein, M. M., & Bronstein, A. M. (2002). Biometrics was no match for hair-raising tricks. Nature. Springer Nature. https://doi.org/10.1038/420739a
View | DOI | PubMed | Europe PMC
 
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53 Publications

Mark all

[53]
2024 | Published | Journal Article | IST-REx-ID: 18205 | OA
Wengrowicz, O., Bronstein, A. M., & Cohen, O. (2024). Unsupervised physics-informed deep learning-based reconstruction for time-resolved imaging by multiplexed ptychography. Optics Express. Optica Publishing Group. https://doi.org/10.1364/oe.515445
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[52]
2024 | Published | Conference Paper | IST-REx-ID: 18206
Rave, G., Fordham, D. E., Bronstein, A. M., & Silver, D. H. (2024). Enhancing predictive accuracy in embryo implantation: The Bonna algorithm and its clinical implications. In First International Conference on Artificial Intelligence in Healthcare (Vol. 14976, pp. 160–171). Swansea, United Kingdom: Springer Nature. https://doi.org/10.1007/978-3-031-67285-9_12
View | DOI
 
[51]
2024 | Published | Journal Article | IST-REx-ID: 18203 | OA
Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2024). A dataset of alternately located segments in protein crystal structures. Scientific Data. Springer Nature. https://doi.org/10.1038/s41597-024-03595-4
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[50]
2024 | Published | Journal Article | IST-REx-ID: 18204 | OA
Elul, Y., Rozenberg, E., Boyarski, A., Yaniv, Y., Schuster, A., & Bronstein, A. M. (2024). Data-driven modeling of interrelated dynamical systems. Communications Physics. Springer Nature. https://doi.org/10.1038/s42005-024-01626-5
[Published Version] View | DOI | Download Published Version (ext.)
 
[49]
2023 | Published | Journal Article | IST-REx-ID: 18207 | OA
Bronstein, A. M., & Marx, A. (2023). Water stabilizes an alternate turn conformation in horse heart myoglobin. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-023-32821-z
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[48]
2023 | Published | Journal Article | IST-REx-ID: 18208 | OA
Weiss, T., Mayo Yanes, E., Chakraborty, S., Cosmo, L., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Guided diffusion for inverse molecular design. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-023-00532-0
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[47]
2023 | Published | Journal Article | IST-REx-ID: 18209 | OA
Weiss, T., Wahab, A., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons. The Journal of Organic Chemistry. American Chemical Society. https://doi.org/10.1021/acs.joc.2c02381
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
[46]
2023 | Published | Conference Paper | IST-REx-ID: 18212
Ye, H., Vedula, S., Chen, Y., Yang, Y., Bronstein, A. M., Dreslinski, R., … Talati, N. (2023). GRACE: A scalable graph-based approach to accelerating recommendation model inference. In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (Vol. 11, pp. 282–301). Association for Computing Machinery. https://doi.org/10.1145/3582016.3582029
View | Files available | DOI
 
[45]
2023 | Published | Journal Article | IST-REx-ID: 18213
Hermanns, J., Skitsas, K., Tsitsulin, A., Munkhoeva, M., Kyster, A., Nielsen, S., … Karras, P. (2023). GRASP: Scalable graph alignment by spectral corresponding functions. ACM Transactions on Knowledge Discovery from Data. Association for Computing Machinery. https://doi.org/10.1145/3561058
View | DOI
 
[44]
2023 | Published | Journal Article | IST-REx-ID: 18214 | OA
Chen, Y., Ye, H., Vedula, S., Bronstein, A. M., Dreslinski, R., Mudge, T., & Talati, N. (2023). Demystifying graph sparsification algorithms in graph properties preservation. Proceedings of the VLDB Endowment. Association for Computing Machinery. https://doi.org/10.14778/3632093.3632106
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[43]
2023 | Published | Conference Paper | IST-REx-ID: 18215 | OA
Gahtan, B., Cohen, R., Bronstein, A. M., & Kedar, G. (2023). Using deep reinforcement learning for mmWave real-time scheduling. In 14th International Conference on Network of the Future (pp. 71–79). Izmir, Turkiye: IEEE. https://doi.org/10.1109/nof58724.2023.10302794
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[42]
2023 | Published | Journal Article | IST-REx-ID: 18216 | OA
Rosenberg, A. A., Yehishalom, N., Marx, A., & Bronstein, A. M. (2023). An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units. Proceedings of the National Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.2301064120
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[41]
2023 | Published | Conference Paper | IST-REx-ID: 18217 | OA
Zadok, D., Salzman, O., Wolf, A., & Bronstein, A. M. (2023). Towards predicting fine finger motions from ultrasound images via kinematic representation. In 2023 IEEE International Conference on Robotics and Automation (Vol. 27). London, United Kingdom: IEEE. https://doi.org/10.1109/icra48891.2023.10160601
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[40]
2023 | Published | Conference Paper | IST-REx-ID: 18218 | OA
Nemcovsky, Y., Jacoby, M., Bronstein, A. M., & Baskin, C. (2023). Physical passive patch adversarial attacks on visual odometry systems. In 16th Asian Conference on Computer Vision (Vol. 13847, pp. 518–534). Macao, China: Springer Nature. https://doi.org/10.1007/978-3-031-26293-7_31
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[39]
2023 | Published | Journal Article | IST-REx-ID: 18219 | OA
Schwartz, E., Bronstein, A. M., & Giryes, R. (2023). ISP Distillation. IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ojsp.2023.3239819
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[38]
2022 | Published | Journal Article | IST-REx-ID: 18221 | OA
Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022). Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-022-30390-9
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[37]
2022 | Published | Journal Article | IST-REx-ID: 18220 | OA
Ackerman-Schraier, L., Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022). Machine learning approaches demonstrate that protein structures carry information about their genetic coding. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-022-25874-z
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[36]
2022 | Published | Journal Article | IST-REx-ID: 18222 | OA
Fordham, D. E., Rosentraub, D., Polsky, A. L., Aviram, T., Wolf, Y., Perl, O., … Munné, S. (2022). Embryologist agreement when assessing blastocyst implantation probability: Is data-driven prediction the solution to embryo assessment subjectivity? Human Reproduction. Oxford University Press. https://doi.org/10.1093/humrep/deac171
[Published Version] View | DOI | Download Published Version (ext.)
 
[35]
2022 | Published | Journal Article | IST-REx-ID: 18226 | OA
Rozenberg, E., Karnieli, A., Yesharim, O., Foley-Comer, J., Trajtenberg-Mills, S., Freedman, D., … Arie, A. (2022). Inverse design of spontaneous parametric downconversion for generation of high-dimensional qudits. Optica. Optica Publishing Group. https://doi.org/10.1364/optica.451115
[Published Version] View | DOI | Download Published Version (ext.)
 
[34]
2022 | Published | Journal Article | IST-REx-ID: 18224 | OA
Schwartz, E., Karlinsky, L., Feris, R., Giryes, R., & Bronstein, A. M. (2022). Baby steps towards few-shot learning with multiple semantics. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2022.06.012
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[33]
2022 | Published | Journal Article | IST-REx-ID: 18225 | OA
Pai, G., Bronstein, A. M., Talmon, R., & Kimmel, R. (2022). Deep isometric maps. Image and Vision Computing. Elsevier. https://doi.org/10.1016/j.imavis.2022.104461
[Published Version] View | DOI | Download Published Version (ext.)
 
[32]
2022 | Published | Journal Article | IST-REx-ID: 18227
Kang, P., Lin, Z., Yang, Z., Bronstein, A. M., Li, Q., & Liu, W. (2022). Deep fused two-step cross-modal hashing with multiple semantic supervision. Multimedia Tools and Applications. Springer Nature. https://doi.org/10.1007/s11042-022-12187-6
View | DOI
 
[31]
2022 | Published | Book Chapter | IST-REx-ID: 18223
Rosenberg, A. A., Bronstein, A. M., & Marx, A. (2022). Recording Silence – Accurate Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects Protein Structure and Disease. In Z. E. Sauna & C. Kimchi-Sarfaty (Eds.), Single Nucleotide Polymorphisms (pp. 37–47). Cham: Springer Nature. https://doi.org/10.1007/978-3-031-05616-1_3
View | DOI
 
[30]
2022 | Published | Journal Article | IST-REx-ID: 18211
Nemcovsky, Y., Zheltonozhskii, E., Baskin, C., Chmiel, B., Bronstein, A. M., & Mendelson, A. (2022). Adversarial robustness via noise injection in smoothed models. Applied Intelligence. Springer Nature. https://doi.org/10.1007/s10489-022-03423-5
View | DOI
 
[29]
2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
Amrani, E., Karlinsky, L., & Bronstein, A. M. (2022). Self-supervised classification network. In 17th European Conference on Computer Vision (Vol. 13691, pp. 116–132). Tel Aviv, Israel: Springer Nature. https://doi.org/10.1007/978-3-031-19821-2_7
View | Files available | DOI | Download None (ext.) | arXiv
 
[28]
2022 | Published | Conference Paper | IST-REx-ID: 18230
Talati, N., Ye, H., Vedula, S., Chen, K.-Y., Chen, Y., Liu, D., … Dreslinski, R. (2022). Mint: An accelerator for mining temporal motifs. In 55th IEEE/ACM International Symposium on Microarchitecture. Chicago, IL, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/micro56248.2022.00089
View | DOI
 
[27]
2022 | Published | Conference Paper | IST-REx-ID: 18231
Zheltonozhskii, E., Baskin, C., Mendelson, A., Bronstein, A. M., & Litany, O. (2022). Contrast to divide: Self-supervised pre-training for learning with noisy labels. In IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 387–397). Waikoloa, HI, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/wacv51458.2022.00046
[Preprint] View | Files available | DOI | arXiv
 
[26]
2022 | Published | Journal Article | IST-REx-ID: 18232
Kang, P., Lin, Z., Yang, Z., Fang, X., Bronstein, A. M., Li, Q., & Liu, W. (2022). Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. Applied Intelligence. Springer Nature. https://doi.org/10.1007/s10489-021-02308-3
View | DOI
 
[25]
2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, C., Zheltonozhkii, E., Rozen, T., Liss, N., Chai, Y., Schwartz, E., … Mendelson, A. (2021). NICE: Noise Injection and Clamping Estimation for neural network quantization. Mathematics. MDPI. https://doi.org/10.3390/math9172144
[Published Version] View | DOI | arXiv
 
[24]
2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
Doveh, S., Schwartz, E., Xue, C., Feris, R., Bronstein, A. M., Giryes, R., & Karlinsky, L. (2021). MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2021.05.010
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[23]
2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Nahshan, Y., Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Bronstein, A. M., & Mendelson, A. (2021). Loss aware post-training quantization. Machine Learning. Springer Nature. https://doi.org/10.1007/s10994-021-06053-z
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[22]
2021 | Published | Conference Paper | IST-REx-ID: 18239 | OA
Arbelle, A., Doveh, S., Alfassy, A., Shtok, J., Lev, G., Schwartz, E., … Karlinsky, L. (2021). Detector-free weakly supervised grounding by separation. In IEEE/CVF International Conference on Computer Vision (Vol. 15). Montreal, Canada: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iccv48922.2021.00182
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2021 | Published | Journal Article | IST-REx-ID: 18236
Elul, Y., Rosenberg, A. A., Schuster, A., Bronstein, A. M., & Yaniv, Y. (2021). 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. https://doi.org/10.1073/pnas.2020620118
[Published Version] View | DOI | PubMed | Europe PMC
 
[20]
2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
Dahary, O., Jacoby, M., & Bronstein, A. M. (2021). Digital gimbal: End-to-end deep image stabilization with learnable exposure times. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (Vol. 38). Nashville, TN, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cvpr46437.2021.01176
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[19]
2021 | Published | Journal Article | IST-REx-ID: 18237 | OA
Baskin, C., Liss, N., Schwartz, E., Zheltonozhskii, E., Giryes, R., Bronstein, A. M., & Mendelson, A. (2021). UNIQ: Uniform Noise Injection for Non-Uniform Quantization of neural networks. ACM Transactions on Computer Systems. Association for Computing Machinery. https://doi.org/10.1145/3444943
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[18]
2021 | Published | Journal Article | IST-REx-ID: 18238 | OA
Karbachevsky, A., Baskin, C., Zheltonozhskii, E., Yermolin, Y., Gabbay, F., Bronstein, A. M., & Mendelson, A. (2021). Early-stage neural network hardware performance analysis. Sustainability. MDPI. https://doi.org/10.3390/su13020717
[Published Version] View | DOI | Download Published Version (ext.)
 
[17]
2021 | Published | Book Chapter | IST-REx-ID: 18242 | OA
Weiss, T., Vedula, S., Senouf, O., Michailovich, O., & Bronstein, A. M. (2021). Towards learned optimal q-space sampling in diffusion MRI. In N. Gyori, J. Hutter, V. Nath, M. Palombo, M. Pizzolato, & F. Zhang (Eds.), Computational Diffusion MRI (pp. 13–28). Cham: Springer Nature. https://doi.org/10.1007/978-3-030-73018-5_2
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[16]
2021 | Published | Conference Paper | IST-REx-ID: 18241 | OA
Weiss, T., Peretz, N., Vedula, S., Feuer, A., & Bronstein, A. M. (2021). Joint optimization of system design and reconstruction in MIMO radar imaging. In 31st International Workshop on Machine Learning for Signal Processing (Vol. 4). Gold Coast, Australia: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/mlsp52302.2021.9596168
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[15]
2020 | Published | Journal Article | IST-REx-ID: 18228 | OA
Sommer, S., & Bronstein, A. M. (2020). Horizontal flows and manifold stochastics in geometric deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2020.2994507
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[14]
2020 | Published | Journal Article | IST-REx-ID: 18245
Zabatani, A., Surazhsky, V., Sperling, E., Moshe, S. B., Menashe, O., Silver, D. H., … Kimmel, R. (2020). Intel® RealSenseTM SR300 coded light depth camera. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2019.2915841
View | DOI | PubMed | Europe PMC
 
[13]
2020 | Published | Journal Article | IST-REx-ID: 18250 | OA
Choukroun, Y., Shtern, A., Bronstein, A. M., & Kimmel, R. (2020). Hamiltonian operator for spectral shape analysis. IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tvcg.2018.2867513
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[12]
2020 | Published | Journal Article | IST-REx-ID: 18246
Mariani, G., Cosmo, L., Bronstein, A. M., & Rodolà, E. (2020). Generating adversarial surfaces via band‐limited perturbations. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14083
View | DOI
 
[11]
2020 | Published | Journal Article | IST-REx-ID: 18252
Rotker, K., Bashat, D. B., & Bronstein, A. M. (2020). Overparameterized models for vector fields. SIAM Journal on Imaging Sciences. Society for Industrial & Applied Mathematics. https://doi.org/10.1137/19m1280697
View | DOI
 
[10]
2020 | Published | Journal Article | IST-REx-ID: 18253 | OA
Arbel, M., Bronstein, A. M., Sau, S., Liefshitz, B., & Kupiec, M. (2020). Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. MBio. American Society for Microbiology. https://doi.org/10.1128/mbio.00705-20
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
[9]
2019 | Published | Journal Article | IST-REx-ID: 18264 | OA
Schwartz, E., Giryes, R., & Bronstein, A. M. (2019). DeepISP: Toward learning an end-to-end image processing pipeline. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2018.2872858
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[8]
2019 | Published | Journal Article | IST-REx-ID: 18263 | OA
Rodolà, E., Lähner, Z., Bronstein, A. M., Bronstein, M. M., & Solomon, J. (2019). Functional maps representation on product manifolds. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.13598
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
Remez, T., Litany, O., Giryes, R., & Bronstein, A. M. (2018). Class-aware fully convolutional Gaussian and Poisson denoising. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2018.2859044
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[6]
2007 | Published | Journal Article | IST-REx-ID: 18367
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007). Weighted distance maps computation on parametric three-dimensional manifolds. Journal of Computational Physics. Elsevier. https://doi.org/10.1016/j.jcp.2007.01.009
View | DOI
 
[5]
2006 | Published | Journal Article | IST-REx-ID: 18408
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Expression-invariant representations of faces. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2006.884940
View | DOI | PubMed | Europe PMC
 
[4]
2006 | Published | Journal Article | IST-REx-ID: 18370
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006). Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching. PNAS. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0508601103
View | DOI | PubMed | Europe PMC
 
[3]
2005 | Published | Journal Article | IST-REx-ID: 18407
Bronstein, M. M., Bronstein, A. M., Zibulevsky, M., & Zeevi, Y. Y. (2005). Blind deconvolution of images using optimal sparse representations. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2005.847322
View | DOI | PubMed | Europe PMC
 
[2]
2005 | Published | Journal Article | IST-REx-ID: 18354
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2005). Three-dimensional face recognition. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-005-1085-y
View | DOI
 
[1]
2002 | Published | Journal Article | IST-REx-ID: 18369
Bronstein, M. M., & Bronstein, A. M. (2002). Biometrics was no match for hair-raising tricks. Nature. Springer Nature. https://doi.org/10.1038/420739a
View | DOI | PubMed | Europe PMC
 
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