[{"volume":901,"extern":"1","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","author":[{"first_name":"Paul C.","last_name":"Duffell","full_name":"Duffell, Paul C."},{"last_name":"D’Orazio","first_name":"Daniel","full_name":"D’Orazio, Daniel"},{"full_name":"Derdzinski, Andrea","last_name":"Derdzinski","first_name":"Andrea"},{"full_name":"Haiman, Zoltán","id":"7c006e8c-cc0d-11ee-8322-cb904ef76f36","first_name":"Zoltán","last_name":"Haiman"},{"full_name":"MacFadyen, Andrew","last_name":"MacFadyen","first_name":"Andrew"},{"full_name":"Rosen, Anna L.","last_name":"Rosen","first_name":"Anna L."},{"last_name":"Zrake","first_name":"Jonathan","full_name":"Zrake, Jonathan"}],"abstract":[{"text":"Using numerical hydrodynamics calculations and a novel method for densely sampling parameter space, we measure the accretion and torque on a binary system from a circumbinary disk. In agreement with some earlier studies, we find that the net torque on the binary is positive for mass ratios close to unity, and that accretion always drives the binary toward equal mass. Accretion variability depends sensitively on the numerical sink prescription, but the torque and relative accretion onto each component do not depend on the sink timescale. Positive torque and highly variable accretion occurs only for mass ratios greater than around 0.05. This means that for mass ratios below 0.05, the binary would migrate inward until the secondary accreted sufficient mass, after which it would execute a U-turn and migrate outward. We explore a range of viscosities, from α = 0.03 to α = 0.15, and find that this outward torque is proportional to the viscous torque, so that torque per unit accreted mass is independent of α. Dependence of accretion and torque on mass ratio is explored in detail, densely sampling mass ratios between 0.01 and unity. For mass ratio q > 0.2, accretion variability is found to exhibit a distinct sawtooth pattern, typically with a five-orbit cycle that provides a smoking gun prediction for variable quasars observed over long periods, as a potential means to confirm the presence of a binary.","lang":"eng"}],"publication_status":"published","external_id":{"arxiv":["1911.05506"]},"article_processing_charge":"No","title":"Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity","article_number":"25","year":"2020","date_created":"2024-09-05T13:08:20Z","publication":"The Astrophysical Journal","issue":"1","publication_identifier":{"issn":["0004-637X","1538-4357"]},"doi":"10.3847/1538-4357/abab95","quality_controlled":"1","main_file_link":[{"open_access":"1","url":" https://doi.org/10.48550/arXiv.1911.05506"}],"type":"journal_article","article_type":"original","oa_version":"Preprint","intvolume":"       901","_id":"17601","scopus_import":"1","oa":1,"publisher":"American Astronomical Society","arxiv":1,"date_updated":"2024-09-23T13:39:03Z","language":[{"iso":"eng"}],"month":"09","date_published":"2020-09-17T00:00:00Z","day":"17","status":"public","citation":{"ama":"Duffell PC, D’Orazio D, Derdzinski A, et al. Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity. <i>The Astrophysical Journal</i>. 2020;901(1). doi:<a href=\"https://doi.org/10.3847/1538-4357/abab95\">10.3847/1538-4357/abab95</a>","ista":"Duffell PC, D’Orazio D, Derdzinski A, Haiman Z, MacFadyen A, Rosen AL, Zrake J. 2020. Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity. The Astrophysical Journal. 901(1), 25.","short":"P.C. Duffell, D. D’Orazio, A. Derdzinski, Z. Haiman, A. MacFadyen, A.L. Rosen, J. Zrake, The Astrophysical Journal 901 (2020).","ieee":"P. C. Duffell <i>et al.</i>, “Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity,” <i>The Astrophysical Journal</i>, vol. 901, no. 1. American Astronomical Society, 2020.","mla":"Duffell, Paul C., et al. “Circumbinary Disks: Accretion and Torque as a Function of Mass Ratio and Disk Viscosity.” <i>The Astrophysical Journal</i>, vol. 901, no. 1, 25, American Astronomical Society, 2020, doi:<a href=\"https://doi.org/10.3847/1538-4357/abab95\">10.3847/1538-4357/abab95</a>.","chicago":"Duffell, Paul C., Daniel D’Orazio, Andrea Derdzinski, Zoltán Haiman, Andrew MacFadyen, Anna L. Rosen, and Jonathan Zrake. “Circumbinary Disks: Accretion and Torque as a Function of Mass Ratio and Disk Viscosity.” <i>The Astrophysical Journal</i>. American Astronomical Society, 2020. <a href=\"https://doi.org/10.3847/1538-4357/abab95\">https://doi.org/10.3847/1538-4357/abab95</a>.","apa":"Duffell, P. C., D’Orazio, D., Derdzinski, A., Haiman, Z., MacFadyen, A., Rosen, A. L., &#38; Zrake, J. (2020). Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity. <i>The Astrophysical Journal</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/1538-4357/abab95\">https://doi.org/10.3847/1538-4357/abab95</a>"}},{"type":"journal_article","article_type":"original","intvolume":"       900","oa_version":"Preprint","_id":"17604","scopus_import":"1","oa":1,"arxiv":1,"publisher":"American Astronomical Society","date_updated":"2024-09-23T13:59:30Z","language":[{"iso":"eng"}],"month":"08","date_published":"2020-08-28T00:00:00Z","status":"public","day":"28","citation":{"ieee":"C. Tiede, J. Zrake, A. MacFadyen, and Z. Haiman, “Gas-driven inspiral of binaries in thin accretion disks,” <i>The Astrophysical Journal</i>, vol. 900, no. 1. American Astronomical Society, 2020.","short":"C. Tiede, J. Zrake, A. MacFadyen, Z. Haiman, The Astrophysical Journal 900 (2020).","ista":"Tiede C, Zrake J, MacFadyen A, Haiman Z. 2020. Gas-driven inspiral of binaries in thin accretion disks. The Astrophysical Journal. 900(1), 43.","ama":"Tiede C, Zrake J, MacFadyen A, Haiman Z. Gas-driven inspiral of binaries in thin accretion disks. <i>The Astrophysical Journal</i>. 2020;900(1). doi:<a href=\"https://doi.org/10.3847/1538-4357/aba432\">10.3847/1538-4357/aba432</a>","apa":"Tiede, C., Zrake, J., MacFadyen, A., &#38; Haiman, Z. (2020). Gas-driven inspiral of binaries in thin accretion disks. <i>The Astrophysical Journal</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/1538-4357/aba432\">https://doi.org/10.3847/1538-4357/aba432</a>","chicago":"Tiede, Christopher, Jonathan Zrake, Andrew MacFadyen, and Zoltán Haiman. “Gas-Driven Inspiral of Binaries in Thin Accretion Disks.” <i>The Astrophysical Journal</i>. American Astronomical Society, 2020. <a href=\"https://doi.org/10.3847/1538-4357/aba432\">https://doi.org/10.3847/1538-4357/aba432</a>.","mla":"Tiede, Christopher, et al. “Gas-Driven Inspiral of Binaries in Thin Accretion Disks.” <i>The Astrophysical Journal</i>, vol. 900, no. 1, 43, American Astronomical Society, 2020, doi:<a href=\"https://doi.org/10.3847/1538-4357/aba432\">10.3847/1538-4357/aba432</a>."},"volume":900,"extern":"1","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","author":[{"full_name":"Tiede, Christopher","last_name":"Tiede","first_name":"Christopher"},{"first_name":"Jonathan","last_name":"Zrake","full_name":"Zrake, Jonathan"},{"full_name":"MacFadyen, Andrew","first_name":"Andrew","last_name":"MacFadyen"},{"last_name":"Haiman","first_name":"Zoltán","id":"7c006e8c-cc0d-11ee-8322-cb904ef76f36","full_name":"Haiman, Zoltán"}],"abstract":[{"text":"Numerical studies of gas accretion onto supermassive black hole binaries (SMBHBs) have generally been limited to conditions where the circumbinary disk (CBD) is 10-100 times thicker than expected for disks in active galactic nuclei (AGN). This discrepancy arises from technical limitations, and also from publication bias toward replicating fiducial numerical models. Here we present the first systematic study of how the binary's orbital evolution varies with disk scale height. We report three key results: (1) Binary orbital evolution switches from outspiralling for warm disks (aspect ratio ~0.1), to inspiralling for more realistic cooler, thinner disks at a critical aspect ratio ~0.04, corresponding to orbital Mach number ~25. (2) The net torque on the binary arises from a competition between positive torque from gas orbiting close to the black holes, and negative torque from the inner edge of the CBD, which is denser for thinner disks. This leads to increasingly negative net torques on the binary for increasingly thin disks. (3) The accretion rate is modestly suppressed with increasing Mach number. We discuss how our results may influence modeling of the nano-Hz gravitational wave background, as well as estimates of the LISA merger event rate.","lang":"eng"}],"external_id":{"arxiv":["2005.09555"]},"publication_status":"published","article_processing_charge":"No","title":"Gas-driven inspiral of binaries in thin accretion disks","article_number":"43","year":"2020","date_created":"2024-09-05T13:12:20Z","publication":"The Astrophysical Journal","issue":"1","publication_identifier":{"issn":["0004-637X","1538-4357"]},"doi":"10.3847/1538-4357/aba432","quality_controlled":"1","main_file_link":[{"url":" https://doi.org/10.48550/arXiv.2005.09555","open_access":"1"}]},{"quality_controlled":"1","main_file_link":[{"url":" https://doi.org/10.48550/arXiv.1911.11142","open_access":"1"}],"date_created":"2024-09-05T13:13:33Z","year":"2020","article_number":"L20","doi":"10.3847/2041-8213/ab745d","publication_identifier":{"issn":["2041-8205","2041-8213"]},"issue":"2","publication":"The Astrophysical Journal Letters","article_processing_charge":"No","external_id":{"arxiv":["1911.11142"]},"publication_status":"published","abstract":[{"text":"Despite the rapidly growing number of stellar-mass binary black hole mergers discovered through gravitational waves, the origin of these binaries is still not known. In galactic centers, black holes can be brought to each others' proximity by dynamical processes, resulting in mergers. It is also possible that black holes formed in previous mergers encounter new black holes, resulting in so-called hierarchical mergers. Hierarchical events carry signatures such as higher-than-usual black hole mass and spin. Here we show that the recently reported gravitational-wave candidate, GW170817A, could be the result of such a hierarchical merger. In particular, its chirp mass ∼40 M⊙ and effective spin of χeff ∼ 0.5 are the typically expected values from hierarchical mergers within the disks of active galactic nuclei. We find that the reconstructed parameters of GW170817A strongly favor a hierarchical merger origin over having been produced by an isolated binary origin (with an odds ratio of > 10^3).","lang":"eng"}],"title":"GW170817A as a hierarchical black hole merger","author":[{"full_name":"Gayathri, V.","first_name":"V.","last_name":"Gayathri"},{"first_name":"I.","last_name":"Bartos","full_name":"Bartos, I."},{"id":"7c006e8c-cc0d-11ee-8322-cb904ef76f36","full_name":"Haiman, Zoltán","first_name":"Zoltán","last_name":"Haiman"},{"first_name":"S.","last_name":"Klimenko","full_name":"Klimenko, S."},{"full_name":"Kocsis, B.","first_name":"B.","last_name":"Kocsis"},{"first_name":"S.","last_name":"Márka","full_name":"Márka, S."},{"full_name":"Yang, Y.","first_name":"Y.","last_name":"Yang"}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","extern":"1","volume":890,"citation":{"mla":"Gayathri, V., et al. “GW170817A as a Hierarchical Black Hole Merger.” <i>The Astrophysical Journal Letters</i>, vol. 890, no. 2, L20, American Astronomical Society, 2020, doi:<a href=\"https://doi.org/10.3847/2041-8213/ab745d\">10.3847/2041-8213/ab745d</a>.","apa":"Gayathri, V., Bartos, I., Haiman, Z., Klimenko, S., Kocsis, B., Márka, S., &#38; Yang, Y. (2020). GW170817A as a hierarchical black hole merger. <i>The Astrophysical Journal Letters</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/2041-8213/ab745d\">https://doi.org/10.3847/2041-8213/ab745d</a>","chicago":"Gayathri, V., I. Bartos, Zoltán Haiman, S. Klimenko, B. Kocsis, S. Márka, and Y. Yang. “GW170817A as a Hierarchical Black Hole Merger.” <i>The Astrophysical Journal Letters</i>. American Astronomical Society, 2020. <a href=\"https://doi.org/10.3847/2041-8213/ab745d\">https://doi.org/10.3847/2041-8213/ab745d</a>.","ama":"Gayathri V, Bartos I, Haiman Z, et al. GW170817A as a hierarchical black hole merger. <i>The Astrophysical Journal Letters</i>. 2020;890(2). doi:<a href=\"https://doi.org/10.3847/2041-8213/ab745d\">10.3847/2041-8213/ab745d</a>","ista":"Gayathri V, Bartos I, Haiman Z, Klimenko S, Kocsis B, Márka S, Yang Y. 2020. GW170817A as a hierarchical black hole merger. The Astrophysical Journal Letters. 890(2), L20.","ieee":"V. Gayathri <i>et al.</i>, “GW170817A as a hierarchical black hole merger,” <i>The Astrophysical Journal Letters</i>, vol. 890, no. 2. American Astronomical Society, 2020.","short":"V. Gayathri, I. Bartos, Z. Haiman, S. Klimenko, B. Kocsis, S. Márka, Y. Yang, The Astrophysical Journal Letters 890 (2020)."},"status":"public","day":"18","oa":1,"date_published":"2020-02-18T00:00:00Z","language":[{"iso":"eng"}],"month":"02","date_updated":"2024-09-23T14:04:29Z","publisher":"American Astronomical Society","arxiv":1,"intvolume":"       890","oa_version":"Preprint","article_type":"original","type":"journal_article","scopus_import":"1","_id":"17605"},{"external_id":{"arxiv":["2007.04781"]},"publication_status":"published","abstract":[{"text":"The heaviest neutron stars and lightest black holes expected to be produced by stellar evolution leave the mass-range 2.2 M⊙≲m≲5 M⊙ largely unpopulated. Objects found in this so-called lower mass gap likely originate from a distinct astrophysical process. Such an object, with mass 2.6 M⊙ was recently detected in the binary merger GW190814 through gravitational waves by LIGO/Virgo. Here we show that black holes in the mass gap are naturally assembled through mergers and accretion in AGN disks, and can subsequently participate in additional mergers. We compute the properties of AGN-assisted mergers involving neutron stars and black holes, accounting for accretion. We find that mergers in which one of the objects is in the lower mass gap represent up to 4% of AGN-assisted mergers detectable by LIGO/Virgo. The lighter object of GW190814, with mass 2.6 M⊙, could have grown in an AGN disk through accretion. We find that the unexpectedly high total mass of 3.4 M⊙ observed in the neutron star merger GW190425 may also be due to accretion in an AGN disk.","lang":"eng"}],"article_processing_charge":"No","title":"Black hole formation in the lower mass gap through mergers and accretion in AGN disks","volume":901,"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","author":[{"last_name":"Yang","first_name":"Y.","full_name":"Yang, Y."},{"full_name":"Gayathri, V.","first_name":"V.","last_name":"Gayathri"},{"last_name":"Bartos","first_name":"I.","full_name":"Bartos, I."},{"first_name":"Zoltán","last_name":"Haiman","id":"7c006e8c-cc0d-11ee-8322-cb904ef76f36","full_name":"Haiman, Zoltán"},{"first_name":"M.","last_name":"Safarzadeh","full_name":"Safarzadeh, M."},{"full_name":"Tagawa, H.","first_name":"H.","last_name":"Tagawa"}],"extern":"1","quality_controlled":"1","main_file_link":[{"open_access":"1","url":" https://doi.org/10.48550/arXiv.2007.04781"}],"article_number":"L34","date_created":"2024-09-05T13:15:59Z","year":"2020","publication":"The Astrophysical Journal Letters","doi":"10.3847/2041-8213/abb940","publication_identifier":{"issn":["2041-8205","2041-8213"]},"issue":"2","oa":1,"date_updated":"2024-09-23T14:16:49Z","arxiv":1,"publisher":"American Astronomical Society","date_published":"2020-10-01T00:00:00Z","language":[{"iso":"eng"}],"month":"10","type":"journal_article","oa_version":"Preprint","intvolume":"       901","article_type":"original","scopus_import":"1","_id":"17607","citation":{"ieee":"Y. Yang, V. Gayathri, I. Bartos, Z. Haiman, M. Safarzadeh, and H. Tagawa, “Black hole formation in the lower mass gap through mergers and accretion in AGN disks,” <i>The Astrophysical Journal Letters</i>, vol. 901, no. 2. American Astronomical Society, 2020.","short":"Y. Yang, V. Gayathri, I. Bartos, Z. Haiman, M. Safarzadeh, H. Tagawa, The Astrophysical Journal Letters 901 (2020).","ista":"Yang Y, Gayathri V, Bartos I, Haiman Z, Safarzadeh M, Tagawa H. 2020. Black hole formation in the lower mass gap through mergers and accretion in AGN disks. The Astrophysical Journal Letters. 901(2), L34.","ama":"Yang Y, Gayathri V, Bartos I, Haiman Z, Safarzadeh M, Tagawa H. Black hole formation in the lower mass gap through mergers and accretion in AGN disks. <i>The Astrophysical Journal Letters</i>. 2020;901(2). doi:<a href=\"https://doi.org/10.3847/2041-8213/abb940\">10.3847/2041-8213/abb940</a>","apa":"Yang, Y., Gayathri, V., Bartos, I., Haiman, Z., Safarzadeh, M., &#38; Tagawa, H. (2020). Black hole formation in the lower mass gap through mergers and accretion in AGN disks. <i>The Astrophysical Journal Letters</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/2041-8213/abb940\">https://doi.org/10.3847/2041-8213/abb940</a>","chicago":"Yang, Y., V. Gayathri, I. Bartos, Zoltán Haiman, M. Safarzadeh, and H. Tagawa. “Black Hole Formation in the Lower Mass Gap through Mergers and Accretion in AGN Disks.” <i>The Astrophysical Journal Letters</i>. American Astronomical Society, 2020. <a href=\"https://doi.org/10.3847/2041-8213/abb940\">https://doi.org/10.3847/2041-8213/abb940</a>.","mla":"Yang, Y., et al. “Black Hole Formation in the Lower Mass Gap through Mergers and Accretion in AGN Disks.” <i>The Astrophysical Journal Letters</i>, vol. 901, no. 2, L34, American Astronomical Society, 2020, doi:<a href=\"https://doi.org/10.3847/2041-8213/abb940\">10.3847/2041-8213/abb940</a>."},"day":"01","status":"public"},{"main_file_link":[{"url":"https://doi.org/10.26434/chemrxiv.12252059.v1","open_access":"1"}],"quality_controlled":"1","doi":"10.1021/acs.nanolett.0c01956","publication_identifier":{"eissn":["1530-6992"],"issn":["1530-6984"]},"issue":"9","publication":"Nano Letters","date_created":"2024-09-09T07:18:19Z","year":"2020","title":"Mechanically tunable quantum interference in ferrocene-based single-molecule junctions","article_processing_charge":"No","page":"6381-6386","publication_status":"published","external_id":{"pmid":["32787164"]},"abstract":[{"text":"Ferrocenes are ubiquitous organometallic building blocks that comprise a Fe atom sandwiched between two cyclopentadienyl (Cp) rings that rotate freely at room temperature. Of widespread interest in fundamental studies and real-world applications, they have also attracted some interest as functional elements of molecular-scale devices. Here we investigate the impact of the configurational degrees of freedom of a ferrocene derivative on its single-molecule junction conductance. Measurements indicate that the conductance of the ferrocene derivative, which is suppressed by 2 orders of magnitude as compared to a fully conjugated analogue, can be modulated by altering the junction configuration. Ab initio transport calculations show that the low conductance is a consequence of destructive quantum interference effects of the Fano type that arise from the hybridization of localized metal-based d-orbitals and the delocalized ligand-based π-system. By rotation of the Cp rings, the hybridization, and thus the quantum interference, can be mechanically controlled, resulting in a conductance modulation that is seen experimentally.","lang":"eng"}],"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Camarasa-Gómez","first_name":"María","full_name":"Camarasa-Gómez, María"},{"full_name":"Hernangómez-Pérez, Daniel","last_name":"Hernangómez-Pérez","first_name":"Daniel"},{"first_name":"Michael S.","last_name":"Inkpen","full_name":"Inkpen, Michael S."},{"full_name":"Lovat, Giacomo","last_name":"Lovat","first_name":"Giacomo"},{"full_name":"Fung, E-Dean","first_name":"E-Dean","last_name":"Fung"},{"full_name":"Roy, Xavier","last_name":"Roy","first_name":"Xavier"},{"full_name":"Venkataraman, Latha","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","orcid":"0000-0002-6957-6089","first_name":"Latha","last_name":"Venkataraman"},{"full_name":"Evers, Ferdinand","first_name":"Ferdinand","last_name":"Evers"}],"extern":"1","volume":20,"OA_place":"repository","citation":{"mla":"Camarasa-Gómez, María, et al. “Mechanically Tunable Quantum Interference in Ferrocene-Based Single-Molecule Junctions.” <i>Nano Letters</i>, vol. 20, no. 9, American Chemical Society, 2020, pp. 6381–86, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.0c01956\">10.1021/acs.nanolett.0c01956</a>.","apa":"Camarasa-Gómez, M., Hernangómez-Pérez, D., Inkpen, M. S., Lovat, G., Fung, E.-D., Roy, X., … Evers, F. (2020). Mechanically tunable quantum interference in ferrocene-based single-molecule junctions. <i>Nano Letters</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.nanolett.0c01956\">https://doi.org/10.1021/acs.nanolett.0c01956</a>","chicago":"Camarasa-Gómez, María, Daniel Hernangómez-Pérez, Michael S. Inkpen, Giacomo Lovat, E-Dean Fung, Xavier Roy, Latha Venkataraman, and Ferdinand Evers. “Mechanically Tunable Quantum Interference in Ferrocene-Based Single-Molecule Junctions.” <i>Nano Letters</i>. American Chemical Society, 2020. <a href=\"https://doi.org/10.1021/acs.nanolett.0c01956\">https://doi.org/10.1021/acs.nanolett.0c01956</a>.","ista":"Camarasa-Gómez M, Hernangómez-Pérez D, Inkpen MS, Lovat G, Fung E-D, Roy X, Venkataraman L, Evers F. 2020. Mechanically tunable quantum interference in ferrocene-based single-molecule junctions. Nano Letters. 20(9), 6381–6386.","ama":"Camarasa-Gómez M, Hernangómez-Pérez D, Inkpen MS, et al. Mechanically tunable quantum interference in ferrocene-based single-molecule junctions. <i>Nano Letters</i>. 2020;20(9):6381-6386. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.0c01956\">10.1021/acs.nanolett.0c01956</a>","short":"M. Camarasa-Gómez, D. Hernangómez-Pérez, M.S. Inkpen, G. Lovat, E.-D. Fung, X. Roy, L. Venkataraman, F. Evers, Nano Letters 20 (2020) 6381–6386.","ieee":"M. Camarasa-Gómez <i>et al.</i>, “Mechanically tunable quantum interference in ferrocene-based single-molecule junctions,” <i>Nano Letters</i>, vol. 20, no. 9. American Chemical Society, pp. 6381–6386, 2020."},"status":"public","day":"03","OA_type":"green","date_published":"2020-08-03T00:00:00Z","language":[{"iso":"eng"}],"month":"08","date_updated":"2024-12-10T10:49:18Z","publisher":"American Chemical Society","oa":1,"scopus_import":"1","_id":"17908","oa_version":"Preprint","intvolume":"        20","article_type":"letter_note","type":"journal_article"},{"OA_type":"hybrid","tmp":{"short":"CC BY-NC (3.0)","name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","image":"/images/cc_by_nc.png","legal_code_url":"https://creativecommons.org/licenses/by-nc/3.0/legalcode"},"day":"25","status":"public","citation":{"mla":"Magyarkuti, András, et al. “Unsupervised Feature Recognition in Single-Molecule Break Junction Data.” <i>Nanoscale</i>, vol. 12, no. 15, Royal Society of Chemistry, 2020, pp. 8355–63, doi:<a href=\"https://doi.org/10.1039/d0nr00467g\">10.1039/d0nr00467g</a>.","apa":"Magyarkuti, A., Balogh, N., Balogh, Z., Venkataraman, L., &#38; Halbritter, A. (2020). Unsupervised feature recognition in single-molecule break junction data. <i>Nanoscale</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/d0nr00467g\">https://doi.org/10.1039/d0nr00467g</a>","chicago":"Magyarkuti, András, Nóra Balogh, Zoltán Balogh, Latha Venkataraman, and András Halbritter. “Unsupervised Feature Recognition in Single-Molecule Break Junction Data.” <i>Nanoscale</i>. Royal Society of Chemistry, 2020. <a href=\"https://doi.org/10.1039/d0nr00467g\">https://doi.org/10.1039/d0nr00467g</a>.","ama":"Magyarkuti A, Balogh N, Balogh Z, Venkataraman L, Halbritter A. Unsupervised feature recognition in single-molecule break junction data. <i>Nanoscale</i>. 2020;12(15):8355-8363. doi:<a href=\"https://doi.org/10.1039/d0nr00467g\">10.1039/d0nr00467g</a>","ista":"Magyarkuti A, Balogh N, Balogh Z, Venkataraman L, Halbritter A. 2020. Unsupervised feature recognition in single-molecule break junction data. Nanoscale. 12(15), 8355–8363.","short":"A. Magyarkuti, N. Balogh, Z. Balogh, L. Venkataraman, A. Halbritter, Nanoscale 12 (2020) 8355–8363.","ieee":"A. Magyarkuti, N. Balogh, Z. Balogh, L. Venkataraman, and A. Halbritter, “Unsupervised feature recognition in single-molecule break junction data,” <i>Nanoscale</i>, vol. 12, no. 15. Royal Society of Chemistry, pp. 8355–8363, 2020."},"type":"journal_article","article_type":"original","intvolume":"        12","oa_version":"Published Version","_id":"17911","scopus_import":"1","oa":1,"arxiv":1,"publisher":"Royal Society of Chemistry","date_updated":"2024-12-10T12:13:16Z","month":"03","language":[{"iso":"eng"}],"date_published":"2020-03-25T00:00:00Z","year":"2020","date_created":"2024-09-09T07:21:34Z","publication":"Nanoscale","issue":"15","doi":"10.1039/d0nr00467g","publication_identifier":{"issn":["2040-3364"],"eissn":["2040-3372"]},"quality_controlled":"1","main_file_link":[{"url":"https://doi.org/10.1039/D0NR00467G","open_access":"1"}],"volume":12,"OA_place":"publisher","extern":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Magyarkuti","first_name":"András","full_name":"Magyarkuti, András"},{"first_name":"Nóra","last_name":"Balogh","full_name":"Balogh, Nóra"},{"full_name":"Balogh, Zoltán","first_name":"Zoltán","last_name":"Balogh"},{"full_name":"Venkataraman, Latha","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","orcid":"0000-0002-6957-6089","last_name":"Venkataraman","first_name":"Latha"},{"last_name":"Halbritter","first_name":"András","full_name":"Halbritter, András"}],"abstract":[{"text":"Single-molecule break junction measurements deliver a huge number of conductance vs. electrode separation traces. During such measurements, the target molecules may bind to the electrodes in different geometries, and the evolution and rupture of the single-molecule junction may also follow distinct trajectories. The unraveling of the various typical trace classes is a prerequisite to the proper physical interpretation of the data. Here we exploit the efficient feature recognition properties of neural networks to automatically find the relevant trace classes. To eliminate the need for manually labeled training data we apply a combined method, which automatically selects training traces according to the extreme values of principal component projections or some auxiliary measured quantities. Then the network captures the features of these characteristic traces and generalizes its inference to the entire dataset. The use of a simple neural network structure also enables a direct insight into the decision-making mechanism. We demonstrate that this combined machine learning method is efficient in the unsupervised recognition of unobvious, but highly relevant trace classes within low and room temperature gold–4,4′ bipyridine–gold single-molecule break junction data.","lang":"eng"}],"publication_status":"published","external_id":{"arxiv":["2001.03006"]},"page":"8355-8363","article_processing_charge":"Yes","license":"https://creativecommons.org/licenses/by-nc/3.0/","title":"Unsupervised feature recognition in single-molecule break junction data"},{"extern":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"Repellin, C.","last_name":"Repellin","first_name":"C."},{"first_name":"Julian","last_name":"Leonard","full_name":"Leonard, Julian","id":"b75b3f45-7995-11ef-9bfd-9a9cd02c3577"},{"full_name":"Goldman, N.","last_name":"Goldman","first_name":"N."}],"volume":102,"article_processing_charge":"Yes (in subscription journal)","abstract":[{"text":"Realizing strongly correlated topological phases of ultracold gases is a central goal for ongoing experiments. While fractional quantum Hall states could soon be implemented in small atomic ensembles, detecting their signatures in few-particle settings remains a fundamental challenge. In this work, we numerically analyze the center-of-mass Hall drift of a small ensemble of hardcore bosons, initially prepared in the ground state of the Harper-Hofstadter-Hubbard model in a box potential. By monitoring the Hall drift upon release, for a wide range of magnetic flux values, we identify an emergent Hall plateau compatible with a fractional Chern insulator state: The extracted Hall conductivity approaches a fractional value determined by the many-body Chern number, while the width of the plateau agrees with the spectral and topological properties of the prepared ground state. Besides, a direct application of Streda's formula indicates that such Hall plateaus can also be directly obtained from static density-profile measurements. Our calculations suggest that fractional Chern insulators can be detected in cold-atom experiments, using available detection methods.","lang":"eng"}],"publication_status":"published","external_id":{"arxiv":["2005.09689"]},"title":"Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles","year":"2020","date_created":"2024-10-07T11:48:07Z","article_number":"063316","issue":"6","doi":"10.1103/physreva.102.063316","publication_identifier":{"issn":["2469-9926"],"eissn":["2469-9934"]},"publication":"Physical Review A","quality_controlled":"1","has_accepted_license":"1","main_file_link":[{"url":"https://doi.org/10.1103/PhysRevA.102.063316","open_access":"1"}],"ddc":["530"],"article_type":"original","oa_version":"Published Version","intvolume":"       102","type":"journal_article","_id":"18194","scopus_import":"1","oa":1,"language":[{"iso":"eng"}],"month":"12","date_published":"2020-12-14T00:00:00Z","arxiv":1,"publisher":"American Physical Society","date_updated":"2024-10-08T09:51:57Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"day":"14","status":"public","citation":{"ista":"Repellin C, Leonard J, Goldman N. 2020. Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles. Physical Review A. 102(6), 063316.","ama":"Repellin C, Leonard J, Goldman N. Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles. <i>Physical Review A</i>. 2020;102(6). doi:<a href=\"https://doi.org/10.1103/physreva.102.063316\">10.1103/physreva.102.063316</a>","ieee":"C. Repellin, J. Leonard, and N. Goldman, “Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles,” <i>Physical Review A</i>, vol. 102, no. 6. American Physical Society, 2020.","short":"C. Repellin, J. Leonard, N. Goldman, Physical Review A 102 (2020).","mla":"Repellin, C., et al. “Fractional Chern Insulators of Few Bosons in a Box: Hall Plateaus from Center-of-Mass Drifts and Density Profiles.” <i>Physical Review A</i>, vol. 102, no. 6, 063316, American Physical Society, 2020, doi:<a href=\"https://doi.org/10.1103/physreva.102.063316\">10.1103/physreva.102.063316</a>.","chicago":"Repellin, C., Julian Leonard, and N. Goldman. “Fractional Chern Insulators of Few Bosons in a Box: Hall Plateaus from Center-of-Mass Drifts and Density Profiles.” <i>Physical Review A</i>. American Physical Society, 2020. <a href=\"https://doi.org/10.1103/physreva.102.063316\">https://doi.org/10.1103/physreva.102.063316</a>.","apa":"Repellin, C., Leonard, J., &#38; Goldman, N. (2020). Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles. <i>Physical Review A</i>. American Physical Society. <a href=\"https://doi.org/10.1103/physreva.102.063316\">https://doi.org/10.1103/physreva.102.063316</a>"}},{"date_published":"2020-02-01T00:00:00Z","language":[{"iso":"eng"}],"month":"02","date_updated":"2024-10-15T06:56:47Z","publisher":"Institute of Electrical and Electronics Engineers","arxiv":1,"oa":1,"scopus_import":"1","_id":"18228","intvolume":"        44","oa_version":"Preprint","article_type":"original","type":"journal_article","citation":{"ama":"Sommer S, Bronstein AM. Horizontal flows and manifold stochastics in geometric deep learning. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>. 2020;44(2):811-822. doi:<a href=\"https://doi.org/10.1109/tpami.2020.2994507\">10.1109/tpami.2020.2994507</a>","ista":"Sommer S, Bronstein AM. 2020. Horizontal flows and manifold stochastics in geometric deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2), 811–822.","ieee":"S. Sommer and A. M. Bronstein, “Horizontal flows and manifold stochastics in geometric deep learning,” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, vol. 44, no. 2. Institute of Electrical and Electronics Engineers, pp. 811–822, 2020.","short":"S. Sommer, A.M. Bronstein, IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2020) 811–822.","mla":"Sommer, Stefan, and Alex M. Bronstein. “Horizontal Flows and Manifold Stochastics in Geometric Deep Learning.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, vol. 44, no. 2, Institute of Electrical and Electronics Engineers, 2020, pp. 811–22, doi:<a href=\"https://doi.org/10.1109/tpami.2020.2994507\">10.1109/tpami.2020.2994507</a>.","chicago":"Sommer, Stefan, and Alex M. Bronstein. “Horizontal Flows and Manifold Stochastics in Geometric Deep Learning.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>. Institute of Electrical and Electronics Engineers, 2020. <a href=\"https://doi.org/10.1109/tpami.2020.2994507\">https://doi.org/10.1109/tpami.2020.2994507</a>.","apa":"Sommer, S., &#38; Bronstein, A. M. (2020). Horizontal flows and manifold stochastics in geometric deep learning. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>. Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/tpami.2020.2994507\">https://doi.org/10.1109/tpami.2020.2994507</a>"},"day":"01","status":"public","OA_type":"green","title":"Horizontal flows and manifold stochastics in geometric deep learning","article_processing_charge":"No","page":"811-822","publication_status":"published","external_id":{"arxiv":["1909.06397"]},"abstract":[{"lang":"eng","text":"We introduce two constructions in geometric deep learning for 1) transporting orientation-dependent convolutional filters over a manifold in a continuous way and thereby defining a convolution operator that naturally incorporates the rotational effect of holonomy; and 2) allowing efficient evaluation of manifold convolution layers by sampling manifold valued random variables that center around a weighted diffusion mean. Both methods are inspired by stochastics on manifolds and geometric statistics, and provide examples of how stochastic methods – here horizontal frame bundle flows and non-linear bridge sampling schemes, can be used in geometric deep learning. We outline the theoretical foundation of the two methods, discuss their relation to Euclidean deep networks and existing methodology in geometric deep learning, and establish important properties of the proposed constructions."}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Sommer","first_name":"Stefan","full_name":"Sommer, Stefan"},{"full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","last_name":"Bronstein","first_name":"Alexander"}],"extern":"1","OA_place":"repository","volume":44,"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1909.06397","open_access":"1"}],"quality_controlled":"1","doi":"10.1109/tpami.2020.2994507","publication_identifier":{"issn":["0162-8828"],"eissn":["1939-3539"]},"issue":"2","publication":"IEEE Transactions on Pattern Analysis and Machine Intelligence","date_created":"2024-10-08T12:55:23Z","year":"2020"},{"day":"28","status":"public","citation":{"chicago":"Chmiel, Brian, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, and Avi Mendelson. “Feature Map Transform Coding for Energy-Efficient CNN Inference.” In <i>2020 International Joint Conference on Neural Networks (IJCNN)</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/ijcnn48605.2020.9206968\">https://doi.org/10.1109/ijcnn48605.2020.9206968</a>.","apa":"Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Yermolin, Y., Karbachevsky, A., … Mendelson, A. (2020). Feature map transform coding for energy-efficient CNN inference. In <i>2020 International Joint Conference on Neural Networks (IJCNN)</i>. Glasgow, United Kingdom: IEEE. <a href=\"https://doi.org/10.1109/ijcnn48605.2020.9206968\">https://doi.org/10.1109/ijcnn48605.2020.9206968</a>","mla":"Chmiel, Brian, et al. “Feature Map Transform Coding for Energy-Efficient CNN Inference.” <i>2020 International Joint Conference on Neural Networks (IJCNN)</i>, 9206968, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/ijcnn48605.2020.9206968\">10.1109/ijcnn48605.2020.9206968</a>.","ieee":"B. Chmiel <i>et al.</i>, “Feature map transform coding for energy-efficient CNN inference,” in <i>2020 International Joint Conference on Neural Networks (IJCNN)</i>, Glasgow, United Kingdom, 2020.","short":"B. Chmiel, C. Baskin, E. Zheltonozhskii, R. Banner, Y. Yermolin, A. Karbachevsky, A.M. Bronstein, A. Mendelson, in:, 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, 2020.","ista":"Chmiel B, Baskin C, Zheltonozhskii E, Banner R, Yermolin Y, Karbachevsky A, Bronstein AM, Mendelson A. 2020. Feature map transform coding for energy-efficient CNN inference. 2020 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks, 9206968.","ama":"Chmiel B, Baskin C, Zheltonozhskii E, et al. Feature map transform coding for energy-efficient CNN inference. In: <i>2020 International Joint Conference on Neural Networks (IJCNN)</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/ijcnn48605.2020.9206968\">10.1109/ijcnn48605.2020.9206968</a>"},"oa_version":"Preprint","type":"conference","scopus_import":"1","_id":"18247","oa":1,"date_published":"2020-09-28T00:00:00Z","month":"09","language":[{"iso":"eng"}],"date_updated":"2024-12-12T10:04:54Z","publisher":"IEEE","arxiv":1,"date_created":"2024-10-08T13:04:52Z","year":"2020","article_number":"9206968","doi":"10.1109/ijcnn48605.2020.9206968","publication_identifier":{"eissn":["2161-4407"],"isbn":["9781728169279"]},"publication":"2020 International Joint Conference on Neural Networks (IJCNN)","quality_controlled":"1","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1905.10830","open_access":"1"}],"conference":{"start_date":"2020-07-19","name":"International Joint Conference on Neural Networks","end_date":"2020-07-24","location":"Glasgow, United Kingdom"},"author":[{"last_name":"Chmiel","first_name":"Brian","full_name":"Chmiel, Brian"},{"first_name":"Chaim","last_name":"Baskin","full_name":"Baskin, Chaim"},{"full_name":"Zheltonozhskii, Evgenii","last_name":"Zheltonozhskii","first_name":"Evgenii"},{"full_name":"Banner, Ron","first_name":"Ron","last_name":"Banner"},{"first_name":"Yevgeny","last_name":"Yermolin","full_name":"Yermolin, Yevgeny"},{"full_name":"Karbachevsky, Alex","first_name":"Alex","last_name":"Karbachevsky"},{"last_name":"Bronstein","first_name":"Alexander","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"},{"full_name":"Mendelson, Avi","first_name":"Avi","last_name":"Mendelson"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","extern":"1","article_processing_charge":"No","publication_status":"published","external_id":{"arxiv":["1905.10830"]},"abstract":[{"text":"Convolutional neural networks (CNNs) achieve state-of-the-art accuracy in a variety of tasks in computer vision and beyond. One of the major obstacles hindering the ubiquitous use of CNNs for inference on low-power edge devices is their high computational complexity and memory bandwidth requirements. The latter often dominates the energy footprint on modern hardware. In this paper, we introduce a lossy transform coding approach, inspired by image and video compression, designed to reduce the memory bandwidth due to the storage of intermediate activation calculation results. Our method does not require fine-tuning the network weights and halves the data transfer volumes to the main memory by compressing feature maps, which are highly correlated, with variable length coding. Our method outperform previous approach in term of the number of bits per value with minor accuracy degradation on ResNet-34 and MobileNetV2. We analyze the performance of our approach on a variety of CNN architectures and demonstrate that FPGA implementation of ResNet-18 with our approach results in a reduction of around 40% in the memory energy footprint, compared to quantized network, with negligible impact on accuracy. When allowing accuracy degradation of up to 2%, the reduction of 60% is achieved. A reference implementation accompanies the paper.","lang":"eng"}],"title":"Feature map transform coding for energy-efficient CNN inference"},{"year":"2020","date_created":"2024-10-08T13:05:24Z","article_number":"9054542","doi":"10.1109/icassp40776.2020.9054542","publication_identifier":{"eissn":["2379-190X"],"isbn":["9781509066322"]},"publication":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","quality_controlled":"1","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1905.09324","open_access":"1"}],"conference":{"end_date":"2020-05-08","location":"Barcelona, Spain","start_date":"2020-05-04","name":"IEEE International Conference on Acoustics, Speech, and Signal Processing"},"extern":"1","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Weiss","first_name":"Tomer","full_name":"Weiss, Tomer"},{"full_name":"Vedula, Sanketh","first_name":"Sanketh","last_name":"Vedula"},{"first_name":"Ortal","last_name":"Senouf","full_name":"Senouf, Ortal"},{"first_name":"Oleg","last_name":"Michailovich","full_name":"Michailovich, Oleg"},{"last_name":"Zibulevsky","first_name":"Michael","full_name":"Zibulevsky, Michael"},{"orcid":"0000-0001-9699-8730","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","first_name":"Alexander","last_name":"Bronstein"}],"article_processing_charge":"No","abstract":[{"text":"Magnetic Resonance Imaging (MRI) is considered today the golden-standard modality for soft tissues. The long acquisition times, however, make it more prone to motion artifacts as well as contribute to the relative high costs of this examination. Over the years, multiple studies concentrated on designing reduced measurement schemes and image reconstruction schemes for MRI, however these problems have been so far addressed separately. On the other hand, recent works in optical computational imaging have demonstrated growing success of simultaneous learning-based design of the acquisition and reconstruction schemes manifesting significant improvement in the reconstruction quality with a constrained time budget. Inspired by these successes, in this work, we propose to learn accelerated MR acquisition schemes (in the form of Cartesian trajectories) jointly with the image reconstruction operator. To this end, we propose an algorithm for training the combined acquisition-reconstruction pipeline end-to-end in a differentiable way. We demonstrate the significance of using the learned Cartesian trajectories at different speed up rates. Code available at https://github.com/tomer196/fastMRI-Cartesian.","lang":"eng"}],"external_id":{"arxiv":["1905.09324"]},"publication_status":"published","title":"Joint learning of cartesian undersampling and reconstruction for accelerated MRI","day":"09","status":"public","citation":{"mla":"Weiss, Tomer, et al. “Joint Learning of Cartesian Undersampling and Reconstruction for Accelerated MRI.” <i>ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>, 9054542, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/icassp40776.2020.9054542\">10.1109/icassp40776.2020.9054542</a>.","chicago":"Weiss, Tomer, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, Michael Zibulevsky, and Alex M. Bronstein. “Joint Learning of Cartesian Undersampling and Reconstruction for Accelerated MRI.” In <i>ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/icassp40776.2020.9054542\">https://doi.org/10.1109/icassp40776.2020.9054542</a>.","apa":"Weiss, T., Vedula, S., Senouf, O., Michailovich, O., Zibulevsky, M., &#38; Bronstein, A. M. (2020). Joint learning of cartesian undersampling and reconstruction for accelerated MRI. In <i>ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>. Barcelona, Spain: IEEE. <a href=\"https://doi.org/10.1109/icassp40776.2020.9054542\">https://doi.org/10.1109/icassp40776.2020.9054542</a>","ama":"Weiss T, Vedula S, Senouf O, Michailovich O, Zibulevsky M, Bronstein AM. Joint learning of cartesian undersampling and reconstruction for accelerated MRI. In: <i>ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/icassp40776.2020.9054542\">10.1109/icassp40776.2020.9054542</a>","ista":"Weiss T, Vedula S, Senouf O, Michailovich O, Zibulevsky M, Bronstein AM. 2020. Joint learning of cartesian undersampling and reconstruction for accelerated MRI. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech, and Signal Processing, 9054542.","short":"T. Weiss, S. Vedula, O. Senouf, O. Michailovich, M. Zibulevsky, A.M. Bronstein, in:, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2020.","ieee":"T. Weiss, S. Vedula, O. Senouf, O. Michailovich, M. Zibulevsky, and A. M. Bronstein, “Joint learning of cartesian undersampling and reconstruction for accelerated MRI,” in <i>ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>, Barcelona, Spain, 2020."},"oa_version":"Preprint","type":"conference","_id":"18249","scopus_import":"1","oa":1,"language":[{"iso":"eng"}],"month":"04","date_published":"2020-04-09T00:00:00Z","publisher":"IEEE","arxiv":1,"date_updated":"2024-12-11T16:06:20Z"},{"citation":{"short":"Y. Choukroun, A. Shtern, A.M. Bronstein, R. Kimmel, IEEE Transactions on Visualization and Computer Graphics 26 (2020) 1320–1331.","ieee":"Y. Choukroun, A. Shtern, A. M. Bronstein, and R. Kimmel, “Hamiltonian operator for spectral shape analysis,” <i>IEEE Transactions on Visualization and Computer Graphics</i>, vol. 26, no. 2. Institute of Electrical and Electronics Engineers, pp. 1320–1331, 2020.","ista":"Choukroun Y, Shtern A, Bronstein AM, Kimmel R. 2020. Hamiltonian operator for spectral shape analysis. IEEE Transactions on Visualization and Computer Graphics. 26(2), 1320–1331.","ama":"Choukroun Y, Shtern A, Bronstein AM, Kimmel R. Hamiltonian operator for spectral shape analysis. <i>IEEE Transactions on Visualization and Computer Graphics</i>. 2020;26(2):1320-1331. doi:<a href=\"https://doi.org/10.1109/tvcg.2018.2867513\">10.1109/tvcg.2018.2867513</a>","apa":"Choukroun, Y., Shtern, A., Bronstein, A. M., &#38; Kimmel, R. (2020). Hamiltonian operator for spectral shape analysis. <i>IEEE Transactions on Visualization and Computer Graphics</i>. Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/tvcg.2018.2867513\">https://doi.org/10.1109/tvcg.2018.2867513</a>","chicago":"Choukroun, Yoni, Alon Shtern, Alex M. Bronstein, and Ron Kimmel. “Hamiltonian Operator for Spectral Shape Analysis.” <i>IEEE Transactions on Visualization and Computer Graphics</i>. Institute of Electrical and Electronics Engineers, 2020. <a href=\"https://doi.org/10.1109/tvcg.2018.2867513\">https://doi.org/10.1109/tvcg.2018.2867513</a>.","mla":"Choukroun, Yoni, et al. “Hamiltonian Operator for Spectral Shape Analysis.” <i>IEEE Transactions on Visualization and Computer Graphics</i>, vol. 26, no. 2, Institute of Electrical and Electronics Engineers, 2020, pp. 1320–31, doi:<a href=\"https://doi.org/10.1109/tvcg.2018.2867513\">10.1109/tvcg.2018.2867513</a>."},"day":"01","status":"public","OA_type":"green","date_published":"2020-02-01T00:00:00Z","language":[{"iso":"eng"}],"month":"02","date_updated":"2024-10-15T09:43:31Z","publisher":"Institute of Electrical and Electronics Engineers","arxiv":1,"oa":1,"scopus_import":"1","_id":"18250","oa_version":"Preprint","intvolume":"        26","article_type":"original","type":"journal_article","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1611.01990 ","open_access":"1"}],"quality_controlled":"1","publication_identifier":{"issn":["1077-2626"],"eissn":["2160-9306"]},"doi":"10.1109/tvcg.2018.2867513","issue":"2","publication":"IEEE Transactions on Visualization and Computer Graphics","date_created":"2024-10-08T13:05:41Z","year":"2020","title":"Hamiltonian operator for spectral shape analysis","article_processing_charge":"No","page":"1320-1331","publication_status":"published","external_id":{"arxiv":["1611.01990"],"pmid":["30176599"]},"abstract":[{"text":"Many shape analysis methods treat the geometry of an object as a metric space that can be captured by the Laplace-Beltrami operator. In this paper, we propose to adapt the classical Hamiltonian operator from quantum mechanics to the field of shape analysis. To this end, we study the addition of a potential function to the Laplacian as a generator for dual spaces in which shape processing is performed. We present general optimization approaches for solving variational problems involving the basis defined by the Hamiltonian using perturbation theory for its eigenvectors. The suggested operator is shown to produce better functional spaces to operate with, as demonstrated on different shape analysis tasks.","lang":"eng"}],"pmid":1,"author":[{"full_name":"Choukroun, Yoni","first_name":"Yoni","last_name":"Choukroun"},{"full_name":"Shtern, Alon","last_name":"Shtern","first_name":"Alon"},{"full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","last_name":"Bronstein","first_name":"Alexander"},{"last_name":"Kimmel","first_name":"Ron","full_name":"Kimmel, Ron"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","extern":"1","volume":26,"OA_place":"repository"},{"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Arbel","first_name":"Matan","full_name":"Arbel, Matan"},{"full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","first_name":"Alexander","last_name":"Bronstein"},{"first_name":"Soumitra","last_name":"Sau","full_name":"Sau, Soumitra"},{"full_name":"Liefshitz, Batia","first_name":"Batia","last_name":"Liefshitz"},{"full_name":"Kupiec, Martin","last_name":"Kupiec","first_name":"Martin"}],"extern":"1","OA_place":"publisher","volume":11,"title":"Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae","article_processing_charge":"Yes","external_id":{"pmid":["32371600"]},"publication_status":"published","abstract":[{"text":"PCNA, the ring that encircles DNA maintaining the processivity of DNA polymerases, is modified by ubiquitin and SUMO. Whereas ubiquitin is required for bypassing lesions through the DNA damage tolerance (DDT) pathways, we show here that SUMOylation represses another pathway, salvage recombination. The Srs2 helicase is recruited to SUMOylated PCNA and prevents the salvage pathway from acting. The pathway can be induced by overexpressing the PCNA unloader Elg1, or the homologous recombination protein Rad52. Our results underscore the role of PCNA modifications in controlling the various bypass and DNA repair mechanisms.","lang":"eng"}],"publication_identifier":{"issn":["2161-2129"],"eissn":["2150-7511"]},"doi":"10.1128/mbio.00705-20","issue":"3","publication":"mBio","date_created":"2024-10-08T13:06:43Z","year":"2020","article_number":"00705-20","main_file_link":[{"url":"https://doi.org/10.1128/mbio.00705-20","open_access":"1"}],"quality_controlled":"1","scopus_import":"1","_id":"18253","oa_version":"Published Version","intvolume":"        11","article_type":"original","type":"journal_article","date_published":"2020-06-01T00:00:00Z","language":[{"iso":"eng"}],"month":"06","date_updated":"2024-10-15T10:50:42Z","publisher":"American Society for Microbiology","DOAJ_listed":"1","oa":1,"status":"public","day":"01","OA_type":"gold","citation":{"chicago":"Arbel, Matan, Alex M. Bronstein, Soumitra Sau, Batia Liefshitz, and Martin Kupiec. “Access to PCNA by Srs2 and Elg1 Controls the Choice between Alternative Repair Pathways in Saccharomyces Cerevisiae.” <i>MBio</i>. American Society for Microbiology, 2020. <a href=\"https://doi.org/10.1128/mbio.00705-20\">https://doi.org/10.1128/mbio.00705-20</a>.","apa":"Arbel, M., Bronstein, A. M., Sau, S., Liefshitz, B., &#38; Kupiec, M. (2020). Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. <i>MBio</i>. American Society for Microbiology. <a href=\"https://doi.org/10.1128/mbio.00705-20\">https://doi.org/10.1128/mbio.00705-20</a>","mla":"Arbel, Matan, et al. “Access to PCNA by Srs2 and Elg1 Controls the Choice between Alternative Repair Pathways in Saccharomyces Cerevisiae.” <i>MBio</i>, vol. 11, no. 3, 00705-20, American Society for Microbiology, 2020, doi:<a href=\"https://doi.org/10.1128/mbio.00705-20\">10.1128/mbio.00705-20</a>.","short":"M. Arbel, A.M. Bronstein, S. Sau, B. Liefshitz, M. Kupiec, MBio 11 (2020).","ieee":"M. Arbel, A. M. Bronstein, S. Sau, B. Liefshitz, and M. Kupiec, “Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae,” <i>mBio</i>, vol. 11, no. 3. American Society for Microbiology, 2020.","ama":"Arbel M, Bronstein AM, Sau S, Liefshitz B, Kupiec M. Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. <i>mBio</i>. 2020;11(3). doi:<a href=\"https://doi.org/10.1128/mbio.00705-20\">10.1128/mbio.00705-20</a>","ista":"Arbel M, Bronstein AM, Sau S, Liefshitz B, Kupiec M. 2020. Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. mBio. 11(3), 00705-20."}},{"citation":{"mla":"Amrani, Elad, et al. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>, 9022341, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/iccvw.2019.00567\">10.1109/iccvw.2019.00567</a>.","apa":"Amrani, E., Ben-Ari, R., Hakim, T., &#38; Bronstein, A. M. (2020). Learning to detect and retrieve objects from unlabeled videos. In <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>. Seoul, Korea (South): IEEE. <a href=\"https://doi.org/10.1109/iccvw.2019.00567\">https://doi.org/10.1109/iccvw.2019.00567</a>","chicago":"Amrani, Elad, Rami Ben-Ari, Tal Hakim, and Alex M. Bronstein. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” In <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/iccvw.2019.00567\">https://doi.org/10.1109/iccvw.2019.00567</a>.","ama":"Amrani E, Ben-Ari R, Hakim T, Bronstein AM. Learning to detect and retrieve objects from unlabeled videos. In: <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/iccvw.2019.00567\">10.1109/iccvw.2019.00567</a>","ista":"Amrani E, Ben-Ari R, Hakim T, Bronstein AM. 2020. Learning to detect and retrieve objects from unlabeled videos. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). 17th IEEE/CVF International Conference on Computer Vision Workshop, 9022341.","ieee":"E. Amrani, R. Ben-Ari, T. Hakim, and A. M. Bronstein, “Learning to detect and retrieve objects from unlabeled videos,” in <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>, Seoul, Korea (South), 2020.","short":"E. Amrani, R. Ben-Ari, T. Hakim, A.M. Bronstein, in:, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), IEEE, 2020."},"status":"public","day":"05","publisher":"IEEE","arxiv":1,"date_updated":"2024-12-05T16:04:03Z","language":[{"iso":"eng"}],"month":"03","date_published":"2020-03-05T00:00:00Z","oa":1,"_id":"18255","scopus_import":"1","type":"conference","oa_version":"Preprint","conference":{"name":"17th IEEE/CVF International Conference on Computer Vision Workshop","start_date":"2019-10-27","end_date":"2019-10-28","location":"Seoul, Korea (South)"},"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1905.11137","open_access":"1"}],"quality_controlled":"1","publication":"2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)","doi":"10.1109/iccvw.2019.00567","publication_identifier":{"eissn":["2473-9944"],"isbn":["9781728150246"]},"article_number":"9022341","year":"2020","date_created":"2024-10-08T13:07:16Z","title":"Learning to detect and retrieve objects from unlabeled videos","abstract":[{"text":"Learning an object detection or retrieval system requires a large data set with manual annotations. Such data sets are expensive and time consuming to create and therefore difficult to obtain on a large scale. In this work, we propose to exploit the natural correlation in narrations and the visual presence of objects in video, to learn an object detector and retrieval without any manual labeling involved. We pose the problem as weakly supervised learning with noisy labels, and propose a novel object detection paradigm under these constraints. We handle the background rejection by using contrastive samples and confront the high level of label noise with a new clustering score. Our evaluation is based on a set of 11 manually annotated objects in over 5000 frames. We show comparison to a weakly-supervised approach as baseline and provide a strongly labeled upper bound.","lang":"eng"}],"publication_status":"published","external_id":{"arxiv":["1905.11137"]},"article_processing_charge":"No","extern":"1","author":[{"full_name":"Amrani, Elad","last_name":"Amrani","first_name":"Elad"},{"full_name":"Ben-Ari, Rami","last_name":"Ben-Ari","first_name":"Rami"},{"first_name":"Tal","last_name":"Hakim","full_name":"Hakim, Tal"},{"first_name":"Alexander","last_name":"Bronstein","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87"},{"publication_identifier":{"isbn":["9781728132945"],"eissn":["2575-7075"]},"doi":"10.1109/cvpr.2019.00671","publication":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","date_created":"2024-10-08T13:08:26Z","year":"2020","article_number":"8954088","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1902.09811"}],"conference":{"location":"Long Beach, CA, United States","end_date":"2019-06-20","start_date":"2019-06-15","name":"32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition"},"quality_controlled":"1","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","author":[{"first_name":"Amit","last_name":"Alfassy","full_name":"Alfassy, Amit"},{"last_name":"Karlinsky","first_name":"Leonid","full_name":"Karlinsky, Leonid"},{"full_name":"Aides, Amit","first_name":"Amit","last_name":"Aides"},{"full_name":"Shtok, Joseph","first_name":"Joseph","last_name":"Shtok"},{"first_name":"Sivan","last_name":"Harary","full_name":"Harary, Sivan"},{"first_name":"Rogerio","last_name":"Feris","full_name":"Feris, Rogerio"},{"last_name":"Giryes","first_name":"Raja","full_name":"Giryes, Raja"},{"orcid":"0000-0001-9699-8730","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","first_name":"Alexander","last_name":"Bronstein"}],"extern":"1","title":"Laso: Label-set operations networks for multi-label few-shot learning","article_processing_charge":"No","external_id":{"arxiv":["1902.09811"]},"publication_status":"published","abstract":[{"lang":"eng","text":"Example synthesis is one of the leading methods to tackle the problem of few-shot learning, where only a small number of samples per class are available. However, current synthesis approaches only address the scenario of a single category label per image. In this work, we propose a novel technique for synthesizing samples with multiple labels for the (yet unhandled) multi-label few-shot classification scenario. We propose to combine pairs of given examples in feature space, so that the resulting synthesized feature vectors will correspond to examples whose label sets are obtained through certain set operations on the label sets of the corresponding input pairs. Thus, our method is capable of producing a sample containing the intersection, union or set-difference of labels present in two input samples. As we show, these set operations generalize to labels unseen during training. This enables performing augmentation on examples of novel categories, thus, facilitating multi-label few-shot classifier learning. We conduct numerous experiments showing promising results for the label-set manipulation capabilities of the proposed approach, both directly (using the classification and retrieval metrics), and in the context of performing data augmentation for multi-label few-shot learning. We propose a benchmark for this new and challenging task and show that our method compares favorably to all the common baselines."}],"day":"09","status":"public","citation":{"ama":"Alfassy A, Karlinsky L, Aides A, et al. Laso: Label-set operations networks for multi-label few-shot learning. In: <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/cvpr.2019.00671\">10.1109/cvpr.2019.00671</a>","ista":"Alfassy A, Karlinsky L, Aides A, Shtok J, Harary S, Feris R, Giryes R, Bronstein AM. 2020. Laso: Label-set operations networks for multi-label few-shot learning. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8954088.","ieee":"A. Alfassy <i>et al.</i>, “Laso: Label-set operations networks for multi-label few-shot learning,” in <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>, Long Beach, CA, United States, 2020.","short":"A. Alfassy, L. Karlinsky, A. Aides, J. Shtok, S. Harary, R. Feris, R. Giryes, A.M. Bronstein, in:, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020.","mla":"Alfassy, Amit, et al. “Laso: Label-Set Operations Networks for Multi-Label Few-Shot Learning.” <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>, 8954088, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/cvpr.2019.00671\">10.1109/cvpr.2019.00671</a>.","chicago":"Alfassy, Amit, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Laso: Label-Set Operations Networks for Multi-Label Few-Shot Learning.” In <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/cvpr.2019.00671\">https://doi.org/10.1109/cvpr.2019.00671</a>.","apa":"Alfassy, A., Karlinsky, L., Aides, A., Shtok, J., Harary, S., Feris, R., … Bronstein, A. M. (2020). Laso: Label-set operations networks for multi-label few-shot learning. In <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. Long Beach, CA, United States: IEEE. <a href=\"https://doi.org/10.1109/cvpr.2019.00671\">https://doi.org/10.1109/cvpr.2019.00671</a>"},"scopus_import":"1","_id":"18259","oa_version":"Preprint","type":"conference","date_published":"2020-01-09T00:00:00Z","language":[{"iso":"eng"}],"month":"01","date_updated":"2024-12-05T15:33:21Z","arxiv":1,"publisher":"IEEE","oa":1},{"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1904.11910"}],"quality_controlled":"1","doi":"10.1007/s00222-020-00964-9","publication_identifier":{"issn":["0020-9910"],"eissn":["1432-1297"]},"issue":"1","das_tickbox":"1","publication":"Inventiones mathematicae","date_created":"2026-06-19T07:56:16Z","year":"2020","title":"Invariance of white noise for KdV on the line","article_processing_charge":"No","page":"203-282","external_id":{"arxiv":["1904.11910"]},"publication_status":"published","abstract":[{"text":"We consider the Korteweg–de Vries equation with white noise initial data, posed on the whole real line, and prove the almost sure existence of solutions. Moreover, we show that the solutions obey the group property and follow a white noise law at all times, past or future. As an offshoot of our methods, we also obtain a new proof of the existence of solutions and the invariance of white noise measure in the torus setting.","lang":"eng"}],"author":[{"last_name":"Killip","first_name":"Rowan","full_name":"Killip, Rowan"},{"full_name":"Murphy, Jason","last_name":"Murphy","first_name":"Jason"},{"full_name":"Visan, Monica","id":"056daca0-b8d1-11f0-964f-f91054abf8ca","first_name":"Monica","last_name":"Visan"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","extern":"1","OA_place":"repository","volume":222,"citation":{"mla":"Killip, Rowan, et al. “Invariance of White Noise for KdV on the Line.” <i>Inventiones Mathematicae</i>, vol. 222, no. 1, Springer Nature, 2020, pp. 203–82, doi:<a href=\"https://doi.org/10.1007/s00222-020-00964-9\">10.1007/s00222-020-00964-9</a>.","apa":"Killip, R., Murphy, J., &#38; Vişan, M. (2020). Invariance of white noise for KdV on the line. <i>Inventiones Mathematicae</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00222-020-00964-9\">https://doi.org/10.1007/s00222-020-00964-9</a>","chicago":"Killip, Rowan, Jason Murphy, and Monica Vişan. “Invariance of White Noise for KdV on the Line.” <i>Inventiones Mathematicae</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s00222-020-00964-9\">https://doi.org/10.1007/s00222-020-00964-9</a>.","ama":"Killip R, Murphy J, Vişan M. Invariance of white noise for KdV on the line. <i>Inventiones mathematicae</i>. 2020;222(1):203-282. doi:<a href=\"https://doi.org/10.1007/s00222-020-00964-9\">10.1007/s00222-020-00964-9</a>","ista":"Killip R, Murphy J, Vişan M. 2020. Invariance of white noise for KdV on the line. Inventiones mathematicae. 222(1), 203–282.","ieee":"R. Killip, J. Murphy, and M. Vişan, “Invariance of white noise for KdV on the line,” <i>Inventiones mathematicae</i>, vol. 222, no. 1. Springer Nature, pp. 203–282, 2020.","short":"R. Killip, J. Murphy, M. Vişan, Inventiones Mathematicae 222 (2020) 203–282."},"day":"01","status":"public","OA_type":"green","date_published":"2020-10-01T00:00:00Z","language":[{"iso":"eng"}],"month":"10","date_updated":"2026-06-25T08:39:30Z","publisher":"Springer Nature","arxiv":1,"oa":1,"scopus_import":"1","_id":"22054","intvolume":"       222","oa_version":"Preprint","article_type":"original","type":"journal_article"},{"OA_type":"green","day":"01","status":"public","citation":{"ista":"Angelopoulos Y, Killip R, Vişan M. 2020. Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation. SIAM Journal on Mathematical Analysis. 52(1), 135–163.","ama":"Angelopoulos Y, Killip R, Vişan M. Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation. <i>SIAM Journal on Mathematical Analysis</i>. 2020;52(1):135-163. doi:<a href=\"https://doi.org/10.1137/19m1265314\">10.1137/19m1265314</a>","short":"Y. Angelopoulos, R. Killip, M. Vişan, SIAM Journal on Mathematical Analysis 52 (2020) 135–163.","ieee":"Y. Angelopoulos, R. Killip, and M. Vişan, “Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation,” <i>SIAM Journal on Mathematical Analysis</i>, vol. 52, no. 1. Society for Industrial &#38; Applied Mathematics, pp. 135–163, 2020.","mla":"Angelopoulos, Yannis, et al. “Invariant Measures for Integrable Spin Chains and an Integrable Discrete Nonlinear Schrödinger Equation.” <i>SIAM Journal on Mathematical Analysis</i>, vol. 52, no. 1, Society for Industrial &#38; Applied Mathematics, 2020, pp. 135–63, doi:<a href=\"https://doi.org/10.1137/19m1265314\">10.1137/19m1265314</a>.","chicago":"Angelopoulos, Yannis, Rowan Killip, and Monica Vişan. “Invariant Measures for Integrable Spin Chains and an Integrable Discrete Nonlinear Schrödinger Equation.” <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial &#38; Applied Mathematics, 2020. <a href=\"https://doi.org/10.1137/19m1265314\">https://doi.org/10.1137/19m1265314</a>.","apa":"Angelopoulos, Y., Killip, R., &#38; Vişan, M. (2020). Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation. <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial &#38; Applied Mathematics. <a href=\"https://doi.org/10.1137/19m1265314\">https://doi.org/10.1137/19m1265314</a>"},"article_type":"original","oa_version":"Preprint","intvolume":"        52","type":"journal_article","_id":"22080","scopus_import":"1","oa":1,"language":[{"iso":"eng"}],"month":"01","date_published":"2020-01-01T00:00:00Z","arxiv":1,"publisher":"Society for Industrial & Applied Mathematics","date_updated":"2026-06-30T12:21:20Z","year":"2020","date_created":"2026-06-19T08:26:32Z","issue":"1","publication_identifier":{"eissn":["1095-7154"],"issn":["0036-1410"]},"doi":"10.1137/19m1265314","publication":"SIAM Journal on Mathematical Analysis","das_tickbox":"1","quality_controlled":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1807.08801"}],"extern":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Angelopoulos","first_name":"Yannis","full_name":"Angelopoulos, Yannis"},{"full_name":"Killip, Rowan","last_name":"Killip","first_name":"Rowan"},{"last_name":"Visan","first_name":"Monica","id":"056daca0-b8d1-11f0-964f-f91054abf8ca","full_name":"Visan, Monica"}],"volume":52,"OA_place":"repository","mathsc":["35Q55","35Q51","35Q82"],"page":"135-163","article_processing_charge":"No","abstract":[{"text":"We consider discrete analogues of two well-known open problems regarding invariant measures for dispersive PDE, namely, the invariance of the Gibbs measure for the continuum (classical) Heisenberg model and the invariance of white noise under focusing cubic nonlinear Schrödinger equation. These continuum models are completely integrable and connected by the Hasimoto transform; correspondingly, we focus our attention on discretizations that are also completely integrable and also connected by a discrete Hasimoto transform. We consider these models on the infinite lattice ℤ. Concretely, for a completely integrable variant of the classical Heisenberg spin chain model (introduced independently by Haldane, Ishimori, and Sklyanin) we prove the existence and uniqueness of solutions for initial data following a Gibbs law (which we show is unique) and show that the Gibbs measure is preserved under these dynamics. In the setting of the focusing Ablowitz--Ladik system, we prove invariance of a measure that we will show is the appropriate discrete analogue of white noise. We also include a thorough discussion of the Poisson geometry associated to the discrete Hasimoto transform introduced by Ishimori that connects the two models studied in this article.","lang":"eng"}],"publication_status":"published","external_id":{"arxiv":["1807.08801"]},"title":"Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation"},{"quality_controlled":"1","main_file_link":[{"url":"https://arxiv.org/abs/1704.04819","open_access":"1"}],"date_created":"2020-06-29T07:59:35Z","year":"2020","publication_identifier":{"issn":["1435-9855"]},"doi":"10.4171/JEMS/966","issue":"7","das_tickbox":"1","publication":"Journal of the European Mathematical Society","article_processing_charge":"No","page":"2331-2403","external_id":{"isi":["000548174700006"],"arxiv":["1704.04819"]},"publication_status":"published","abstract":[{"lang":"eng","text":"We consider systems of N bosons in a box of volume one, interacting through a repulsive two-body potential of the form κN3β−1V(Nβx). For all 0<β<1, and for sufficiently small coupling constant κ>0, we establish the validity of Bogolyubov theory, identifying the ground state energy and the low-lying excitation spectrum up to errors that vanish in the limit of large N."}],"title":"The excitation spectrum of Bose gases interacting through singular potentials","author":[{"id":"342E7E22-F248-11E8-B48F-1D18A9856A87","full_name":"Boccato, Chiara","first_name":"Chiara","last_name":"Boccato"},{"full_name":"Brennecke, Christian","last_name":"Brennecke","first_name":"Christian"},{"first_name":"Serena","last_name":"Cenatiempo","full_name":"Cenatiempo, Serena"},{"full_name":"Schlein, Benjamin","last_name":"Schlein","first_name":"Benjamin"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","volume":22,"citation":{"apa":"Boccato, C., Brennecke, C., Cenatiempo, S., &#38; Schlein, B. (2020). The excitation spectrum of Bose gases interacting through singular potentials. <i>Journal of the European Mathematical Society</i>. EMS Press. <a href=\"https://doi.org/10.4171/JEMS/966\">https://doi.org/10.4171/JEMS/966</a>","chicago":"Boccato, Chiara, Christian Brennecke, Serena Cenatiempo, and Benjamin Schlein. “The Excitation Spectrum of Bose Gases Interacting through Singular Potentials.” <i>Journal of the European Mathematical Society</i>. EMS Press, 2020. <a href=\"https://doi.org/10.4171/JEMS/966\">https://doi.org/10.4171/JEMS/966</a>.","mla":"Boccato, Chiara, et al. “The Excitation Spectrum of Bose Gases Interacting through Singular Potentials.” <i>Journal of the European Mathematical Society</i>, vol. 22, no. 7, EMS Press, 2020, pp. 2331–403, doi:<a href=\"https://doi.org/10.4171/JEMS/966\">10.4171/JEMS/966</a>.","ieee":"C. Boccato, C. Brennecke, S. Cenatiempo, and B. Schlein, “The excitation spectrum of Bose gases interacting through singular potentials,” <i>Journal of the European Mathematical Society</i>, vol. 22, no. 7. EMS Press, pp. 2331–2403, 2020.","short":"C. Boccato, C. Brennecke, S. Cenatiempo, B. Schlein, Journal of the European Mathematical Society 22 (2020) 2331–2403.","ista":"Boccato C, Brennecke C, Cenatiempo S, Schlein B. 2020. The excitation spectrum of Bose gases interacting through singular potentials. Journal of the European Mathematical Society. 22(7), 2331–2403.","ama":"Boccato C, Brennecke C, Cenatiempo S, Schlein B. The excitation spectrum of Bose gases interacting through singular potentials. <i>Journal of the European Mathematical Society</i>. 2020;22(7):2331-2403. doi:<a href=\"https://doi.org/10.4171/JEMS/966\">10.4171/JEMS/966</a>"},"day":"01","status":"public","isi":1,"oa":1,"date_published":"2020-07-01T00:00:00Z","language":[{"iso":"eng"}],"month":"07","date_updated":"2026-07-06T11:53:41Z","department":[{"_id":"RoSe"}],"publisher":"EMS Press","arxiv":1,"intvolume":"        22","oa_version":"Preprint","article_type":"original","type":"journal_article","scopus_import":"1","_id":"8042"},{"oa":1,"isi":1,"arxiv":1,"department":[{"_id":"TiBr"}],"publisher":"EMS Press","date_updated":"2026-07-06T11:54:01Z","month":"12","language":[{"iso":"eng"}],"date_published":"2020-12-07T00:00:00Z","type":"journal_article","article_type":"original","intvolume":"        95","oa_version":"Preprint","_id":"9007","scopus_import":"1","citation":{"chicago":"Browning, Timothy D, and Will Sawin. “Free Rational Points on Smooth Hypersurfaces.” <i>Commentarii Mathematici Helvetici</i>. EMS Press, 2020. <a href=\"https://doi.org/10.4171/CMH/499\">https://doi.org/10.4171/CMH/499</a>.","apa":"Browning, T. D., &#38; Sawin, W. (2020). Free rational points on smooth hypersurfaces. <i>Commentarii Mathematici Helvetici</i>. EMS Press. <a href=\"https://doi.org/10.4171/CMH/499\">https://doi.org/10.4171/CMH/499</a>","mla":"Browning, Timothy D., and Will Sawin. “Free Rational Points on Smooth Hypersurfaces.” <i>Commentarii Mathematici Helvetici</i>, vol. 95, no. 4, EMS Press, 2020, pp. 635–59, doi:<a href=\"https://doi.org/10.4171/CMH/499\">10.4171/CMH/499</a>.","ieee":"T. D. Browning and W. Sawin, “Free rational points on smooth hypersurfaces,” <i>Commentarii Mathematici Helvetici</i>, vol. 95, no. 4. EMS Press, pp. 635–659, 2020.","short":"T.D. Browning, W. Sawin, Commentarii Mathematici Helvetici 95 (2020) 635–659.","ista":"Browning TD, Sawin W. 2020. Free rational points on smooth hypersurfaces. Commentarii Mathematici Helvetici. 95(4), 635–659.","ama":"Browning TD, Sawin W. Free rational points on smooth hypersurfaces. <i>Commentarii Mathematici Helvetici</i>. 2020;95(4):635-659. doi:<a href=\"https://doi.org/10.4171/CMH/499\">10.4171/CMH/499</a>"},"day":"07","status":"public","abstract":[{"lang":"eng","text":"Motivated by a recent question of Peyre, we apply the Hardy–Littlewood circle method to count “sufficiently free” rational points of bounded height on arbitrary smooth projective hypersurfaces of low degree that are defined over the rationals."}],"publication_status":"published","external_id":{"isi":["000596833300001"],"arxiv":["1906.08463"]},"page":"635-659","article_processing_charge":"No","title":"Free rational points on smooth hypersurfaces","volume":95,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"Browning, Timothy D","id":"35827D50-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8314-0177","last_name":"Browning","first_name":"Timothy D"},{"first_name":"Will","last_name":"Sawin","full_name":"Sawin, Will"}],"quality_controlled":"1","main_file_link":[{"url":"https://arxiv.org/abs/1906.08463","open_access":"1"}],"year":"2020","date_created":"2021-01-17T23:01:11Z","publication":"Commentarii Mathematici Helvetici","das_tickbox":"1","issue":"4","doi":"10.4171/CMH/499","publication_identifier":{"eissn":["1420-8946"],"issn":["0010-2571"]}},{"has_accepted_license":"1","ddc":["510"],"file":[{"file_id":"8976","access_level":"open_access","checksum":"d75359b9814e78d57c0a481b7cde3751","relation":"main_file","file_size":696653,"date_updated":"2020-12-28T08:24:08Z","date_created":"2020-12-28T08:24:08Z","content_type":"application/pdf","file_name":"2020_ElectronJProbab_Redig.pdf","success":1,"creator":"dernst"}],"quality_controlled":"1","doi":"10.1214/20-EJP536","publication_identifier":{"eissn":["1083-6489"]},"publication":"Electronic Journal of Probability","das_tickbox":"1","year":"2020","date_created":"2020-12-27T23:01:17Z","article_number":"138","title":"Symmetric simple exclusion process in dynamic environment: Hydrodynamics","article_processing_charge":"No","abstract":[{"text":"We consider the symmetric simple exclusion process in Zd with quenched bounded dynamic random conductances and prove its hydrodynamic limit in path space. The main tool is the connection, due to the self-duality of the process, between the invariance principle for single particles starting from all points and the macroscopic behavior of the density field. While the hydrodynamic limit at fixed macroscopic times is obtained via a generalization to the time-inhomogeneous context of the strategy introduced in [41], in order to prove tightness for the sequence of empirical density fields we develop a new criterion based on the notion of uniform conditional stochastic continuity, following [50]. In conclusion, we show that uniform elliptic dynamic conductances provide an example of environments in which the so-called arbitrary starting point invariance principle may be derived from the invariance principle of a single particle starting from the origin. Therefore, our hydrodynamics result applies to the examples of quenched environments considered in, e.g., [1], [3], [6] in combination with the hypothesis of uniform ellipticity.","lang":"eng"}],"external_id":{"isi":["000591737500001"],"arxiv":["1811.01366"]},"publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"Redig, Frank","first_name":"Frank","last_name":"Redig"},{"full_name":"Saada, Ellen","first_name":"Ellen","last_name":"Saada"},{"first_name":"Federico","last_name":"Sau","id":"E1836206-9F16-11E9-8814-AEFDE5697425","full_name":"Sau, Federico"}],"volume":25,"citation":{"mla":"Redig, Frank, et al. “Symmetric Simple Exclusion Process in Dynamic Environment: Hydrodynamics.” <i>Electronic Journal of Probability</i>, vol. 25, 138, Institute of Mathematical Statistics, 2020, doi:<a href=\"https://doi.org/10.1214/20-EJP536\">10.1214/20-EJP536</a>.","chicago":"Redig, Frank, Ellen Saada, and Federico Sau. “Symmetric Simple Exclusion Process in Dynamic Environment: Hydrodynamics.” <i>Electronic Journal of Probability</i>. Institute of Mathematical Statistics, 2020. <a href=\"https://doi.org/10.1214/20-EJP536\">https://doi.org/10.1214/20-EJP536</a>.","apa":"Redig, F., Saada, E., &#38; Sau, F. (2020). Symmetric simple exclusion process in dynamic environment: Hydrodynamics. <i>Electronic Journal of Probability</i>. Institute of Mathematical Statistics. <a href=\"https://doi.org/10.1214/20-EJP536\">https://doi.org/10.1214/20-EJP536</a>","ama":"Redig F, Saada E, Sau F. Symmetric simple exclusion process in dynamic environment: Hydrodynamics. <i>Electronic Journal of Probability</i>. 2020;25. doi:<a href=\"https://doi.org/10.1214/20-EJP536\">10.1214/20-EJP536</a>","ista":"Redig F, Saada E, Sau F. 2020. Symmetric simple exclusion process in dynamic environment: Hydrodynamics. Electronic Journal of Probability. 25, 138.","short":"F. Redig, E. Saada, F. Sau, Electronic Journal of Probability 25 (2020).","ieee":"F. Redig, E. Saada, and F. Sau, “Symmetric simple exclusion process in dynamic environment: Hydrodynamics,” <i>Electronic Journal of Probability</i>, vol. 25. Institute of Mathematical Statistics, 2020."},"project":[{"name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020","grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425"}],"status":"public","day":"21","ec_funded":1,"month":"10","language":[{"iso":"eng"}],"date_published":"2020-10-21T00:00:00Z","department":[{"_id":"JaMa"}],"publisher":"Institute of Mathematical Statistics","arxiv":1,"date_updated":"2026-07-06T12:04:40Z","isi":1,"oa":1,"file_date_updated":"2020-12-28T08:24:08Z","_id":"8973","scopus_import":"1","article_type":"original","intvolume":"        25","oa_version":"Published Version","acknowledgement":"We warmly thank S.R.S. Varadhan for many enlightening discussions at an early stage of this work. We are indebted to Francesca Collet for fruitful discussions and constant support all throughout this work. We thank Simone Floreani\r\nand Alberto Chiarini for helpful conversations on the final part of this paper as well as both referees for their careful reading and for raising relevant issues on some weak points contained in a previous version of this manuscript; we believe this helped us to improve it.\r\nPart of this work was done during the authors’ stay at the Institut Henri Poincaré (UMS 5208 CNRS-Sorbonne Université) – Centre Emile Borel during the trimester Stochastic Dynamics Out of Equilibrium. The authors thank this institution for hospitality and support (through LabEx CARMIN, ANR-10-LABX-59-01). F.S. thanks laboratoire\r\nMAP5 of Université de Paris, and E.S. thanks Delft University, for financial support and hospitality. F.S. acknowledges NWO for financial support via the TOP1 grant 613.001.552 as well as funding from the European Union’s Horizon 2020 research and innovation programme under the Marie-Skłodowska-Curie grant agreement No. 754411. This research has been conducted within the FP2M federation (CNRS FR 2036).","type":"journal_article"},{"date_created":"2019-12-10T15:36:05Z","year":"2020","publication_identifier":{"issn":["1530-6984"],"eissn":["1530-6992"]},"doi":"10.1021/acs.nanolett.9b04445","issue":"1","publication":"Nano Letters","corr_author":"1","quality_controlled":"1","main_file_link":[{"url":"https://doi.org/10.1021/acs.nanolett.9b04445","open_access":"1"}],"ddc":["570"],"author":[{"last_name":"Ucar","first_name":"Mehmet C","full_name":"Ucar, Mehmet C","id":"50B2A802-6007-11E9-A42B-EB23E6697425","orcid":"0000-0003-0506-4217"},{"full_name":"Lipowsky, Reinhard","last_name":"Lipowsky","first_name":"Reinhard"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","volume":20,"pmid":1,"related_material":{"record":[{"relation":"research_data","id":"9726","status":"public"},{"status":"public","id":"9885","relation":"research_data"}]},"article_processing_charge":"No","page":"669-676","external_id":{"isi":["000507151600087"],"pmid":["31797672"]},"publication_status":"published","abstract":[{"text":"In the living cell, we encounter a large variety of motile processes such as organelle transport and cytoskeleton remodeling. These processes are driven by motor proteins that generate force by transducing chemical free energy into mechanical work. In many cases, the molecular motors work in teams to collectively generate larger forces. Recent optical trapping experiments on small teams of cytoskeletal motors indicated that the collectively generated force increases with the size of the motor team but that this increase depends on the motor type and on whether the motors are studied in vitro or in vivo. Here, we use the theory of stochastic processes to describe the motion of N motors in a stationary optical trap and to compute the N-dependence of the collectively generated forces. We consider six distinct motor types, two kinesins, two dyneins, and two myosins. We show that the force increases always linearly with N but with a prefactor that depends on the performance of the single motor. Surprisingly, this prefactor increases for weaker motors with a lower stall force. This counter-intuitive behavior reflects the increased probability with which stronger motors detach from the filament during strain generation. Our theoretical results are in quantitative agreement with experimental data on small teams of kinesin-1 motors.","lang":"eng"}],"title":"Collective force generation by molecular motors is determined by strain-induced unbinding","day":"08","status":"public","citation":{"ieee":"M. C. Ucar and R. Lipowsky, “Collective force generation by molecular motors is determined by strain-induced unbinding,” <i>Nano Letters</i>, vol. 20, no. 1. American Chemical Society, pp. 669–676, 2020.","short":"M.C. Ucar, R. Lipowsky, Nano Letters 20 (2020) 669–676.","ista":"Ucar MC, Lipowsky R. 2020. Collective force generation by molecular motors is determined by strain-induced unbinding. Nano Letters. 20(1), 669–676.","ama":"Ucar MC, Lipowsky R. Collective force generation by molecular motors is determined by strain-induced unbinding. <i>Nano Letters</i>. 2020;20(1):669-676. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.9b04445\">10.1021/acs.nanolett.9b04445</a>","chicago":"Ucar, Mehmet C, and Reinhard Lipowsky. “Collective Force Generation by Molecular Motors Is Determined by Strain-Induced Unbinding.” <i>Nano Letters</i>. American Chemical Society, 2020. <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445\">https://doi.org/10.1021/acs.nanolett.9b04445</a>.","apa":"Ucar, M. C., &#38; Lipowsky, R. (2020). Collective force generation by molecular motors is determined by strain-induced unbinding. <i>Nano Letters</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445\">https://doi.org/10.1021/acs.nanolett.9b04445</a>","mla":"Ucar, Mehmet C., and Reinhard Lipowsky. “Collective Force Generation by Molecular Motors Is Determined by Strain-Induced Unbinding.” <i>Nano Letters</i>, vol. 20, no. 1, American Chemical Society, 2020, pp. 669–76, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.9b04445\">10.1021/acs.nanolett.9b04445</a>."},"oa_version":"Published Version","intvolume":"        20","article_type":"letter_note","type":"journal_article","scopus_import":"1","_id":"7166","isi":1,"oa":1,"date_published":"2020-01-08T00:00:00Z","month":"01","language":[{"iso":"eng"}],"date_updated":"2026-07-06T12:14:33Z","department":[{"_id":"EdHa"}],"publisher":"American Chemical Society"}]