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633 Publications
2022 | Published | Journal Article | IST-REx-ID: 9977 | 
Mistegaard, W., & Andersen, J. E. (2022). Resurgence analysis of quantum invariants of Seifert fibered homology spheres. Journal of the London Mathematical Society. Wiley. https://doi.org/10.1112/jlms.12506
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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: 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: 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 | 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: 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: 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 | 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: 11051
Liu, J., & Hetzer, M. (2022). Nuclear pore complex maintenance and implications for age-related diseases. Trends in Cell Biology. Elsevier. https://doi.org/10.1016/j.tcb.2021.10.001
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2022 | Published | Journal Article | IST-REx-ID: 11490 |
Matthee, J. J., Feltre, A., Maseda, M., Nanayakkara, T., Boogaard, L., Bacon, R., … Wisotzki, L. (2022). Deciphering stellar metallicities in the early universe: Case study of a young galaxy at z = 4.77 in the MUSE eXtremely Deep Field. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202142187
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2022 | Published | Journal Article | IST-REx-ID: 11521 |
Matthee, J. J., Naidu, R. P., Pezzulli, G., Gronke, M., Sobral, D., Oesch, P. A., … Röttgering, H. (2022). (Re)Solving reionization with Lyα: How bright Lyα emitters account for the z ≈ 2 − 8 cosmic ionizing background. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stac801
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2022 | Published | Journal Article | IST-REx-ID: 11511 |
Gebek, A., & Matthee, J. J. (2022). On the variation in stellar α-enhancements of star-forming galaxies in the EAGLE simulation. The Astrophysical Journal. IOP Publishing. https://doi.org/10.3847/1538-4357/ac350b
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2022 | Published | Journal Article | IST-REx-ID: 11600
Bugnet, L. A. (2022). Hidden currents at the Sun’s surface. Nature Astronomy. Springer Nature. https://doi.org/10.1038/s41550-022-01683-2
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2022 | Published | Conference Paper | IST-REx-ID: 10774 |
Bartocci, E., Ferrere, T., Henzinger, T. A., Nickovic, D., & Da Costa, A. O. (2022). Flavors of sequential information flow. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13182, pp. 1–19). Philadelphia, PA, United States: Springer Nature. https://doi.org/10.1007/978-3-030-94583-1_1
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2022 | Published | Journal Article | IST-REx-ID: 11955 |
Traxler, M., Gisbertz, S., Pachfule, P., Schmidt, J., Roeser, J., Reischauer, S., … Thomas, A. (2022). Acridine‐functionalized covalent organic frameworks (COFs) as photocatalysts for metallaphotocatalytic C−N cross‐coupling. Angewandte Chemie International Edition. Wiley. https://doi.org/10.1002/anie.202117738
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2022 | Published | Journal Article | IST-REx-ID: 12147 |
Hasani, R., Lechner, M., Amini, A., Liebenwein, L., Ray, A., Tschaikowski, M., … Rus, D. (2022). Closed-form continuous-time neural networks. Nature Machine Intelligence. Springer Nature. https://doi.org/10.1038/s42256-022-00556-7
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2022 | Published | Journal Article | IST-REx-ID: 12510 |
Gruenbacher, S. A., Lechner, M., Hasani, R., Rus, D., Henzinger, T. A., Smolka, S. A., & Grosu, R. (2022). GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i6.20631
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2022 | Published | Conference Paper | IST-REx-ID: 10891
Henzinger, T. A. (2022). Quantitative monitoring of software. In Software Verification (Vol. 13124, pp. 3–6). New Haven, CT, United States: Springer Nature. https://doi.org/10.1007/978-3-030-95561-8_1
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2022 | Submitted | Preprint | IST-REx-ID: 11366 |
Lechner, M., Amini, A., Rus, D., & Henzinger, T. A. (n.d.). Revisiting the adversarial robustness-accuracy tradeoff in robot learning. arXiv. https://doi.org/10.48550/arXiv.2204.07373
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