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10784 Publications


2022 | Published | Journal Article | IST-REx-ID: 15209 | OA
S. Ginzburg, J. Fuller, A. Kawka, and I. Caiazzo, “Slow convection and fast rotation in crystallization-driven white dwarf dynamos,” Monthly Notices of the Royal Astronomical Society, vol. 514, no. 3. Oxford University Press, pp. 4111–4119, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 15210 | OA
H. B. Richer et al., “When do stars go boom?,” The Astrophysical Journal Letters, vol. 931, no. 2. American Astronomical Society, 2022.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 15211 | OA
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 | OA
L. Fleury, I. Caiazzo, and J. Heyl, “The cooling of massive white dwarfs from Gaia EDR3,” Monthly Notices of the Royal Astronomical Society, vol. 511, no. 4. Oxford University Press, pp. 5984–5993, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 15213 | OA
D. R. Miller, I. Caiazzo, J. Heyl, H. B. Richer, and P.-E. Tremblay, “The ultramassive white dwarfs of the Alpha Persei cluster,” The Astrophysical Journal Letters, vol. 926, no. 2. American Astronomical Society, 2022.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 15214 | OA
J. Heyl, I. Caiazzo, and H. B. Richer, “Reconstructing the Pleiades with Gaia EDR3,” The Astrophysical Journal, vol. 926, no. 2. American Astronomical Society, 2022.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 15268 | OA
R. A. Gisonno, T. Masson, N. A. Ramella, E. E. Barrera, V. Romanowski, and M. A. Tricerri, “Evolutionary and structural constraints influencing apolipoprotein A‐I amyloid behavior,” Proteins: Structure, Function, and Bioinformatics, vol. 90, no. 1. Wiley, pp. 258–269, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 18191 | OA
A. Valenti, G. Jin, J. Leonard, S. D. Huber, and E. Greplova, “Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics,” Physical Review A, vol. 105, no. 2. American Physical Society, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 18211
Y. Nemcovsky, E. Zheltonozhskii, C. Baskin, B. Chmiel, A. M. Bronstein, and A. Mendelson, “Adversarial robustness via noise injection in smoothed models,” Applied Intelligence, vol. 53, no. 8. Springer Nature, pp. 9483–9498, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 18220 | OA
L. Ackerman-Schraier, A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Machine learning approaches demonstrate that protein structures carry information about their genetic coding,” Scientific Reports, vol. 12. Springer Nature, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 18221 | OA
A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon,” Nature Communications, vol. 13. Springer Nature, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 18222 | OA
D. E. Fordham et al., “Embryologist agreement when assessing blastocyst implantation probability: Is data-driven prediction the solution to embryo assessment subjectivity?,” Human Reproduction, vol. 37, no. 10. Oxford University Press, pp. 2275–2290, 2022.
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2022 | Published | Book Chapter | IST-REx-ID: 18223
A. A. Rosenberg, A. M. Bronstein, and A. Marx, “Recording Silence – Accurate Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects Protein Structure and Disease,” in Single Nucleotide Polymorphisms, Z. E. Sauna and C. Kimchi-Sarfaty, Eds. Cham: Springer Nature, 2022, pp. 37–47.
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2022 | Published | Journal Article | IST-REx-ID: 18224 | OA
E. Schwartz, L. Karlinsky, R. Feris, R. Giryes, and A. M. Bronstein, “Baby steps towards few-shot learning with multiple semantics,” Pattern Recognition Letters, vol. 160. Elsevier, pp. 142–147, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 18225 | OA
G. Pai, A. M. Bronstein, R. Talmon, and R. Kimmel, “Deep isometric maps,” Image and Vision Computing, vol. 123. Elsevier, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 18226 | OA
E. Rozenberg et al., “Inverse design of spontaneous parametric downconversion for generation of high-dimensional qudits,” Optica, vol. 9, no. 6. Optica Publishing Group, pp. 602–615, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 18227
P. Kang, Z. Lin, Z. Yang, A. M. Bronstein, Q. Li, and W. Liu, “Deep fused two-step cross-modal hashing with multiple semantic supervision,” Multimedia Tools and Applications, vol. 81, no. 11. Springer Nature, pp. 15653–15670, 2022.
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2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
E. Amrani, L. Karlinsky, and A. M. Bronstein, “Self-supervised classification network,” in 17th European Conference on Computer Vision, Tel Aviv, Israel, 2022, vol. 13691, pp. 116–132.
View | Files available | DOI | Download None (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 18230
N. Talati et al., “Mint: An accelerator for mining temporal motifs,” in 55th IEEE/ACM International Symposium on Microarchitecture, Chicago, IL, United States, 2022.
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2022 | Published | Conference Paper | IST-REx-ID: 18231
E. Zheltonozhskii, C. Baskin, A. Mendelson, A. M. Bronstein, and O. Litany, “Contrast to divide: Self-supervised pre-training for learning with noisy labels,” in IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, HI, United States, 2022, pp. 387–397.
[Preprint] View | Files available | DOI | arXiv
 

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