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10784 Publications
2022 | Published | Journal Article | IST-REx-ID: 15209 | 
Ginzburg, S., Fuller, J., Kawka, A., & Caiazzo, I. (2022). Slow convection and fast rotation in crystallization-driven white dwarf dynamos. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stac1363
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2022 | Published | Journal Article | IST-REx-ID: 15210 |
Richer, H. B., Cohen, R. E., Heyl, J., Kalirai, J., Caiazzo, I., Correnti, M., … Williams, B. (2022). When do stars go boom? The Astrophysical Journal Letters. American Astronomical Society. https://doi.org/10.3847/2041-8213/ac6585
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2022 | Published | Journal Article | IST-REx-ID: 15211 |
Burdge KB, Marsh TR, Fuller J, Bellm EC, Caiazzo I, Chakrabarty D, Coughlin MW, De K, Dhillon VS, Graham MJ, Rodríguez-Gil P, Jaodand AD, Kaplan DL, Kara E, Kong AKH, Kulkarni SR, Li K-L, Littlefair SP, Majid WA, Mróz P, Pearlman AB, Phinney ES, Roestel J van, Simcoe RA, Andreoni I, Drake AJ, Dekany RG, Duev DA, Kool EC, Mahabal AA, Medford MS, Riddle R, Prince TA. 2022. A 62-minute orbital period black widow binary in a wide hierarchical triple. Nature. 605(7908), 41–45.
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2022 | Published | Journal Article | IST-REx-ID: 15212 |
Fleury, L., Caiazzo, I., & Heyl, J. (2022). The cooling of massive white dwarfs from Gaia EDR3. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stac458
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2022 | Published | Journal Article | IST-REx-ID: 15213 |
Miller, D. R., Caiazzo, I., Heyl, J., Richer, H. B., & Tremblay, P.-E. (2022). The ultramassive white dwarfs of the Alpha Persei cluster. The Astrophysical Journal Letters. American Astronomical Society. https://doi.org/10.3847/2041-8213/ac50a5
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2022 | Published | Journal Article | IST-REx-ID: 15214 |
Heyl, J., Caiazzo, I., & Richer, H. B. (2022). Reconstructing the Pleiades with Gaia EDR3. The Astrophysical Journal. American Astronomical Society. https://doi.org/10.3847/1538-4357/ac45fc
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2022 | Published | Journal Article | IST-REx-ID: 15268 |
Gisonno, R. A., Masson, T., Ramella, N. A., Barrera, E. E., Romanowski, V., & Tricerri, M. A. (2022). Evolutionary and structural constraints influencing apolipoprotein A‐I amyloid behavior. Proteins: Structure, Function, and Bioinformatics. Wiley. https://doi.org/10.1002/prot.26217
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2022 | Published | Journal Article | IST-REx-ID: 18191 |
Valenti, A., Jin, G., Leonard, J., Huber, S. D., & Greplova, E. (2022). Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics. Physical Review A. American Physical Society. https://doi.org/10.1103/physreva.105.023302
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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
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2022 | Published | Journal Article | IST-REx-ID: 18220 |
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
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2022 | Published | Journal Article | IST-REx-ID: 18221 |
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
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2022 | Published | Journal Article | IST-REx-ID: 18222 |
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
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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
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2022 | Published | Journal Article | IST-REx-ID: 18224 |
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
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2022 | Published | Journal Article | IST-REx-ID: 18225 |
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
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2022 | Published | Journal Article | IST-REx-ID: 18226 |
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
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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
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2022 | Published | Conference Paper | IST-REx-ID: 18229 |
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
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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
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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
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