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11777 Publications


2021 | Published | Journal Article | IST-REx-ID: 17589 | OA
Gayathri V, Yang Y, Tagawa H, Haiman Z, Bartos I. 2021. Black hole mergers of AGN origin in LIGO–Virgo’s O1–O3a observing periods. The Astrophysical Journal Letters. 920(2), L42.
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2021 | Published | Journal Article | IST-REx-ID: 17592 | OA
Zrake J, Tiede C, MacFadyen A, Haiman Z. 2021. Equilibrium eccentricity of accreting binaries. The Astrophysical Journal Letters. 909(1), L13.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 17593 | OA
Amaro Seoane P, Arca Sedda M, Babak S, Berry CPL, Berti E, Bertone G, Blas D, Bogdanović T, Bonetti M, Breivik K, Brito R, Caldwell R, Capelo PR, Caprini C, Cardoso V, Carson Z, Chen H-Y, Chua AJK, Dvorkin I, Haiman Z, Heisenberg L, Isi M, Karnesis N, Kavanagh BJ, Littenberg TB, Mangiagli A, Marcoccia P, Maselli A, Nardini G, Pani P, Peloso M, Pieroni M, Ricciardone A, Sesana A, Tamanini N, Toubiana A, Valiante R, Vretinaris S, Weir DJ, Yagi K, Zimmerman A. 2021. The effect of mission duration on LISA science objectives. General Relativity and Gravitation. 54(1), 3.
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2021 | Published | Journal Article | IST-REx-ID: 17598 | OA
Inayoshi K, Kashiyama K, Visbal E, Haiman Z. 2021. Gravitational wave backgrounds from coalescing black hole binaries at cosmic dawn: An upper bound. The Astrophysical Journal. 919(1), 41.
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2021 | Published | Journal Article | IST-REx-ID: 17610 | OA
Lupi A, Haiman Z, Volonteri M. 2021. Forming massive seed black holes in high-redshift quasar host progenitors. Monthly Notices of the Royal Astronomical Society. 503(4), 5046–5060.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 17876
Fu T, Frommer K, Nuckolls C, Venkataraman L. 2021. Single-molecule junction formation in break-junction measurements. The Journal of Physical Chemistry Letters. 12(44), 10802–10807.
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2021 | Published | Journal Article | IST-REx-ID: 17877
Stone I, Starr RL, Zang Y, Nuckolls C, Steigerwald ML, Lambert TH, Roy X, Venkataraman L. 2021. A single-molecule blueprint for synthesis. Nature Reviews Chemistry. 5(10), 695–710.
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2021 | Published | Journal Article | IST-REx-ID: 17899 | OA
Zhang B, Garner MH, Li L, Campos LM, Solomon GC, Venkataraman L. 2021. Destructive quantum interference in heterocyclic alkanes: The search for ultra-short molecular insulators. Chemical Science. 12(30), 10299–10305.
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2021 | Published | Journal Article | IST-REx-ID: 17900
Greenwald JE, Cameron J, Findlay NJ, Fu T, Gunasekaran S, Skabara PJ, Venkataraman L. 2021. Highly nonlinear transport across single-molecule junctions via destructive quantum interference. Nature Nanotechnology. 16(3), 313–317.
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2021 | Published | Journal Article | IST-REx-ID: 17901
Medina Rivero S, García Arroyo P, Li L, Gunasekaran S, Stuyver T, Mancheño MJ, Alonso M, Venkataraman L, Segura JL, Casado J. 2021. Single-molecule conductance in a unique cross-conjugated tetra(aminoaryl)ethene. Chemical Communications. 57(5), 591–594.
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2021 | Published | Journal Article | IST-REx-ID: 18192 | OA
Bohrdt A, Kim S, Lukin A, Rispoli M, Schittko R, Knap M, Greiner M, Leonard J. 2021. Analyzing nonequilibrium quantum states through snapshots with artificial neural networks. Physical Review Letters. 127(15), 150504.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18193 | OA
Palm FA, Buser M, Leonard J, Aidelsburger M, Schollwöck U, Grusdt F. 2021. Bosonic Pfaffian state in the Hofstadter-Bose-Hubbard model. Physical Review B. 103(16), L161101.
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2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Nahshan Y, Chmiel B, Baskin C, Zheltonozhskii E, Banner R, Bronstein AM, Mendelson A. 2021. Loss aware post-training quantization. Machine Learning. 110(11–12), 3245–3262.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin C, Zheltonozhkii E, Rozen T, Liss N, Chai Y, Schwartz E, Giryes R, Bronstein AM, Mendelson A. 2021. NICE: Noise Injection and Clamping Estimation for neural network quantization. Mathematics. 9(17), 2144.
[Published Version] View | DOI | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
Doveh S, Schwartz E, Xue C, Feris R, Bronstein AM, Giryes R, Karlinsky L. 2021. MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognition Letters. 149, 130–136.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18236
Elul Y, Rosenberg AA, Schuster A, Bronstein AM, 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. 118(24), e2020620118.
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2021 | Published | Journal Article | IST-REx-ID: 18237 | OA
Baskin C, Liss N, Schwartz E, Zheltonozhskii E, Giryes R, Bronstein AM, Mendelson A. 2021. UNIQ: Uniform Noise Injection for Non-Uniform Quantization of neural networks. ACM Transactions on Computer Systems. 37(1–4), 1–15.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18238 | OA
Karbachevsky A, Baskin C, Zheltonozhskii E, Yermolin Y, Gabbay F, Bronstein AM, Mendelson A. 2021. Early-stage neural network hardware performance analysis. Sustainability. 13(2), 717.
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2021 | Published | Conference Paper | IST-REx-ID: 18239 | OA
Arbelle A, Doveh S, Alfassy A, Shtok J, Lev G, Schwartz E, Kuehne H, Levi HB, Sattigeri P, Panda R, Chen C-F, Bronstein AM, Saenko K, Ullman S, Giryes R, Feris R, Karlinsky L. 2021. Detector-free weakly supervised grounding by separation. IEEE/CVF International Conference on Computer Vision. ICCV: International Conference on Computer Vision vol. 15.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
Dahary O, Jacoby M, Bronstein AM. 2021. Digital gimbal: End-to-end deep image stabilization with learnable exposure times. IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition vol. 38.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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