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7296 Publications


2024 | Published | Journal Article | IST-REx-ID: 17517 | OA
Saade, M. Lynne, et al. “NuSTAR Observations of Candidate Subparsec Binary Supermassive Black Holes.” The Astrophysical Journal, vol. 966, no. 1, 104, American Astronomical Society, 2024, doi:10.3847/1538-4357/ad372e.
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2024 | Published | Journal Article | IST-REx-ID: 17531 | OA
Tagawa, Hiromichi, et al. “Shock Cooling and Breakout Emission for Optical Flares Associated with Gravitational-Wave Events.” The Astrophysical Journal, vol. 966, no. 1, 21, American Astronomical Society, 2024, doi:10.3847/1538-4357/ad2e0b.
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2024 | Published | Journal Article | IST-REx-ID: 17535 | OA
Scoggins, Matthew T., and Zoltán Haiman. “Diagnosing the Massive-Seed Pathway to High-Redshift Black Holes: Statistics of the Evolving Black Hole to Host Galaxy Mass Ratio.” Monthly Notices of the Royal Astronomical Society, vol. 531, no. 4, Oxford University Press, 2024, pp. 4584–97, doi:10.1093/mnras/stae1449.
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2024 | Published | Journal Article | IST-REx-ID: 17545 | OA
Krauth, Luke Major, et al. “Self-Lensing Flares from Black Hole Binaries: General-Relativistic Ray Tracing of Circumbinary Accretion Simulations.” Physical Review D, vol. 109, no. 10, 103014, American Physical Society (APS), 2024, doi:10.1103/physrevd.109.103014.
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2024 | Published | Journal Article | IST-REx-ID: 17546 | OA
Westernacher-Schneider, John Ryan, et al. “Eccentric Minidisks in Accreting Binaries.” The Astrophysical Journal, vol. 962, no. 1, 76, American Astronomical Society, 2024, doi:10.3847/1538-4357/ad1a17.
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2024 | Published | Journal Article | IST-REx-ID: 17590 | OA
Xin, Chengcheng, et al. “‘Tidal Peeling Events’: Low-Eccentricity Tidal Disruption of a Star by a Stellar-Mass Black Hole.” The Astrophysical Journal, vol. 961, no. 2, 149, American Astronomical Society, 2024, doi:10.3847/1538-4357/ad11d3.
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2024 | Published | Journal Article | IST-REx-ID: 17852 | OA
Lee, Woojung, et al. “Photooxidation Driven Formation of Fe-Au Linked Ferrocene-Based Single-Molecule Junctions.” Nature Communications, vol. 15, 1439, Springer Nature, 2024, doi:10.1038/s41467-024-45707-z.
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2024 | Published | Journal Article | IST-REx-ID: 12178 | OA
Agresti, Antonio, et al. “The Stochastic Primitive Equations with Transport Noise and Turbulent Pressure.” Stochastics and Partial Differential Equations: Analysis and Computations, vol. 12, Springer Nature, 2024, pp. 53–133, doi:10.1007/s40072-022-00277-3.
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2024 | Published | Journal Article | IST-REx-ID: 13044 | OA
Mondal, Soumyadip, et al. “Singlet Oxygen in Non-Aqueous Oxygen Redox: Direct Spectroscopic Evidence for Formation Pathways and Reliability of Chemical Probes.” Faraday Discussions, vol. 248, Royal Society of Chemistry, 2024, pp. 175–89, doi:10.1039/d3fd00088e.
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2024 | Published | Journal Article | IST-REx-ID: 14726 | OA
Zhou, Liang-Zi, et al. “The RALF Signaling Pathway Regulates Cell Wall Integrity during Pollen Tube Growth in Maize.” The Plant Cell, vol. 36, no. 5, koad324, Oxford University Press, 2024, doi:10.1093/plcell/koad324.
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2024 | Published | Journal Article | IST-REx-ID: 14901 | OA
Nomura, Keiko, et al. “Tipping Points of Space Debris in Low Earth Orbit.” International Journal of the Commons, vol. 18, no. 1, Ubiquity Press, 2024, doi:10.5334/ijc.1275.
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2024 | Published | Conference Paper | IST-REx-ID: 15007 | OA
Alpos, Orestis, et al. “Eating Sandwiches: Modular and Lightweight Elimination of Transaction Reordering Attacks.” 27th International Conference on Principles of Distributed Systems, vol. 286, 12, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024, doi:10.4230/LIPIcs.OPODIS.2023.12.
[Published Version] View | Files available | DOI | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 15011 | OA
Kurtic, Eldar, et al. “How to Prune Your Language Model: Recovering Accuracy on the ‘Sparsity May Cry’ Benchmark.” Proceedings of Machine Learning Research, vol. 234, ML Research Press, 2024, pp. 542–53.
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2024 | Published | Journal Article | IST-REx-ID: 15119 | OA
Agresti, Antonio, and Mark Veraar. “Stochastic Maximal Lp(Lq)-Regularity for Second Order Systems with Periodic Boundary Conditions.” Annales de l’institut Henri Poincare Probability and Statistics, vol. 60, no. 1, Institute of Mathematical Statistics, 2024, pp. 413–30, doi:10.1214/22-AIHP1333.
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2024 | Published | Journal Article | IST-REx-ID: 15189 | OA
Galiullin I, Rodriguez AC, Kulkarni SR, Sunyaev R, Gilfanov M, Bikmaev I, Yungelson L, van Roestel J, Gänsicke BT, Khamitov I, Szkody P, El-Badry K, Suslikov M, Prince TA, Buntov M, Caiazzo I, Gorbachev M, Graham MJ, Gumerov R, Irtuganov E, Laher RR, Medvedev P, Riddle R, Rusholme B, Sakhibullin N, Sklyanov A, Vanderbosch ZP. 2024. A joint SRG/eROSITA + ZTF search: Discovery of a 97-min period eclipsing cataclysmic variable with evidence of a brown dwarf secondary. Monthly Notices of the Royal Astronomical Society. 528(1), 676–692.
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2024 | Published | Journal Article | IST-REx-ID: 15191 | OA
Gerasimov, Roman, et al. “Exploring the Chemistry and Mass Function of the Globular Cluster 47 Tucanae with New Theoretical Color–Magnitude Diagrams.” The Astrophysical Journal, vol. 961, no. 1, 139, American Astronomical Society, 2024, doi:10.3847/1538-4357/ad08bf.
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2024 | Published | Journal Article | IST-REx-ID: 15319 | OA
Huebbers, Jan W., et al. “Interplay of EXO70 and MLO Proteins Modulates Trichome Cell Wall Composition and Susceptibility to Powdery Mildew.” Plant Cell, vol. 36, no. 4, Oxford University Press, 2024, pp. 1007–35, doi:10.1093/plcell/koad319.
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2024 | Published | Conference Paper | IST-REx-ID: 18113 | OA
Egiazarian, Vage, et al. “Extreme Compression of Large Language Models via Additive Quantization.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 12284–303.
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2024 | Published | Conference Paper | IST-REx-ID: 18114 | OA
Pervez, Adeel A., et al. “Mechanistic Neural Networks for Scientific Machine Learning.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 40484–501.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18117 | OA
Nikdan, Mahdi, et al. “RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 38187–206.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

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