[{"language":[{"iso":"eng"}],"keyword":["Space and Planetary Science","Astronomy and Astrophysics"],"publication":"The Astrophysical Journal","scopus_import":"1","type":"journal_article","volume":922,"publication_status":"published","month":"12","main_file_link":[{"url":"https://arxiv.org/abs/2109.14817","open_access":"1"}],"date_updated":"2023-08-21T11:52:05Z","status":"public","quality_controlled":"1","article_number":"241","_id":"13454","oa_version":"Preprint","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa":1,"author":[{"first_name":"Tin Long Sunny","full_name":"Wong, Tin Long Sunny","last_name":"Wong"},{"first_name":"Josiah","full_name":"Schwab, Josiah","last_name":"Schwab"},{"id":"d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d","last_name":"Götberg","first_name":"Ylva Louise Linsdotter","full_name":"Götberg, Ylva Louise Linsdotter","orcid":"0000-0002-6960-6911"}],"arxiv":1,"date_published":"2021-12-03T00:00:00Z","day":"03","abstract":[{"lang":"eng","text":"Helium star–carbon-oxygen white dwarf (CO WD) binaries are potential single-degenerate progenitor systems of thermonuclear supernovae. Revisiting a set of binary evolution calculations using the stellar evolution code MESA, we refine our previous predictions about which systems can lead to a thermonuclear supernova and then characterize the properties of the helium star donor at the time of explosion. We convert these model properties to near-UV/optical magnitudes assuming a blackbody spectrum and support this approach using a matched stellar atmosphere model. These models will be valuable to compare with pre-explosion imaging for future supernovae, though we emphasize the observational difficulty of detecting extremely blue companions. The pre-explosion source detected in association with SN 2012Z has been interpreted as a helium star binary containing an initially ultra-massive WD in a multiday orbit. However, extending our binary models to initial CO WD masses of up to 1.2 M⊙, we find that these systems undergo off-center carbon ignitions and thus are not expected to produce thermonuclear supernovae. This tension suggests that, if SN 2012Z is associated with a helium star–WD binary, then the pre-explosion optical light from the system must be significantly modified by the binary environment and/or the WD does not have a carbon-rich interior composition."}],"doi":"10.3847/1538-4357/ac27ae","issue":"2","article_type":"original","publication_identifier":{"eissn":["1538-4357"],"issn":["0004-637X"]},"external_id":{"arxiv":["2109.14817"]},"intvolume":"       922","date_created":"2023-08-03T10:10:58Z","year":"2021","title":"Pre-explosion properties of Helium star donors to thermonuclear supernovae","article_processing_charge":"No","publisher":"American Astronomical Society","citation":{"apa":"Wong, T. L. S., Schwab, J., &#38; Götberg, Y. L. L. (2021). Pre-explosion properties of Helium star donors to thermonuclear supernovae. <i>The Astrophysical Journal</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/1538-4357/ac27ae\">https://doi.org/10.3847/1538-4357/ac27ae</a>","chicago":"Wong, Tin Long Sunny, Josiah Schwab, and Ylva Louise Linsdotter Götberg. “Pre-Explosion Properties of Helium Star Donors to Thermonuclear Supernovae.” <i>The Astrophysical Journal</i>. American Astronomical Society, 2021. <a href=\"https://doi.org/10.3847/1538-4357/ac27ae\">https://doi.org/10.3847/1538-4357/ac27ae</a>.","ista":"Wong TLS, Schwab J, Götberg YLL. 2021. Pre-explosion properties of Helium star donors to thermonuclear supernovae. The Astrophysical Journal. 922(2), 241.","ieee":"T. L. S. Wong, J. Schwab, and Y. L. L. Götberg, “Pre-explosion properties of Helium star donors to thermonuclear supernovae,” <i>The Astrophysical Journal</i>, vol. 922, no. 2. American Astronomical Society, 2021.","ama":"Wong TLS, Schwab J, Götberg YLL. Pre-explosion properties of Helium star donors to thermonuclear supernovae. <i>The Astrophysical Journal</i>. 2021;922(2). doi:<a href=\"https://doi.org/10.3847/1538-4357/ac27ae\">10.3847/1538-4357/ac27ae</a>","mla":"Wong, Tin Long Sunny, et al. “Pre-Explosion Properties of Helium Star Donors to Thermonuclear Supernovae.” <i>The Astrophysical Journal</i>, vol. 922, no. 2, 241, American Astronomical Society, 2021, doi:<a href=\"https://doi.org/10.3847/1538-4357/ac27ae\">10.3847/1538-4357/ac27ae</a>.","short":"T.L.S. Wong, J. Schwab, Y.L.L. Götberg, The Astrophysical Journal 922 (2021)."},"extern":"1"},{"article_processing_charge":"No","publisher":"EDP Sciences","citation":{"ieee":"E. Laplace <i>et al.</i>, “Different to the core: The pre-supernova structures of massive single and binary-stripped stars,” <i>Astronomy &#38; Astrophysics</i>, vol. 656. EDP Sciences, 2021.","ista":"Laplace E, Justham S, Renzo M, Götberg YLL, Farmer R, Vartanyan D, de Mink SE. 2021. Different to the core: The pre-supernova structures of massive single and binary-stripped stars. Astronomy &#38; Astrophysics. 656, A58.","chicago":"Laplace, E., S. Justham, M. Renzo, Ylva Louise Linsdotter Götberg, R. Farmer, D. Vartanyan, and S. E. de Mink. “Different to the Core: The Pre-Supernova Structures of Massive Single and Binary-Stripped Stars.” <i>Astronomy &#38; Astrophysics</i>. EDP Sciences, 2021. <a href=\"https://doi.org/10.1051/0004-6361/202140506\">https://doi.org/10.1051/0004-6361/202140506</a>.","apa":"Laplace, E., Justham, S., Renzo, M., Götberg, Y. L. L., Farmer, R., Vartanyan, D., &#38; de Mink, S. E. (2021). Different to the core: The pre-supernova structures of massive single and binary-stripped stars. <i>Astronomy &#38; Astrophysics</i>. EDP Sciences. <a href=\"https://doi.org/10.1051/0004-6361/202140506\">https://doi.org/10.1051/0004-6361/202140506</a>","short":"E. Laplace, S. Justham, M. Renzo, Y.L.L. Götberg, R. Farmer, D. Vartanyan, S.E. de Mink, Astronomy &#38; Astrophysics 656 (2021).","ama":"Laplace E, Justham S, Renzo M, et al. Different to the core: The pre-supernova structures of massive single and binary-stripped stars. <i>Astronomy &#38; Astrophysics</i>. 2021;656. doi:<a href=\"https://doi.org/10.1051/0004-6361/202140506\">10.1051/0004-6361/202140506</a>","mla":"Laplace, E., et al. “Different to the Core: The Pre-Supernova Structures of Massive Single and Binary-Stripped Stars.” <i>Astronomy &#38; Astrophysics</i>, vol. 656, A58, EDP Sciences, 2021, doi:<a href=\"https://doi.org/10.1051/0004-6361/202140506\">10.1051/0004-6361/202140506</a>."},"extern":"1","title":"Different to the core: The pre-supernova structures of massive single and binary-stripped stars","publication_identifier":{"issn":["0004-6361"],"eissn":["1432-0746"]},"external_id":{"arxiv":["2102.05036"]},"intvolume":"       656","year":"2021","date_created":"2023-08-03T10:11:09Z","article_type":"original","doi":"10.1051/0004-6361/202140506","day":"02","abstract":[{"lang":"eng","text":"The majority of massive stars live in binary or multiple systems and will interact with a companion during their lifetimes, which helps to explain the observed diversity of core-collapse supernovae. Donor stars in binary systems can lose most of their hydrogen-rich envelopes through mass transfer. As a result, not only are the surface properties affected, but so is the core structure. However, most calculations of the core-collapse properties of massive stars rely on single-star models. We present a systematic study of the difference between the pre-supernova structures of single stars and stars of the same initial mass (11–21 M⊙) that have been stripped due to stable post-main-sequence mass transfer at solar metallicity. We present the pre-supernova core composition with novel diagrams that give an intuitive representation of the isotope distribution. As shown in previous studies, at the edge of the carbon-oxygen core, the binary-stripped star models contain an extended gradient of carbon, oxygen, and neon. This layer remains until core collapse and is more extended in mass for higher initial stellar masses. It originates from the receding of the convective helium core during core helium burning in binary-stripped stars, which does not occur in single-star models. We find that this same evolutionary phase leads to systematic differences in the final density and nuclear energy generation profiles. Binary-stripped star models have systematically higher total masses of carbon at the moment of core collapse compared to single-star models, which likely results in systematically different supernova yields. In about half of our models, the silicon-burning and oxygen-rich layers merge after core silicon burning. We discuss the implications of our findings for the “explodability”, supernova observations, and nucleosynthesis of these stars. Our models are publicly available and can be readily used as input for detailed supernova simulations."}],"oa":1,"arxiv":1,"author":[{"last_name":"Laplace","full_name":"Laplace, E.","first_name":"E."},{"full_name":"Justham, S.","first_name":"S.","last_name":"Justham"},{"first_name":"M.","full_name":"Renzo, M.","last_name":"Renzo"},{"last_name":"Götberg","id":"d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d","orcid":"0000-0002-6960-6911","full_name":"Götberg, Ylva Louise Linsdotter","first_name":"Ylva Louise Linsdotter"},{"last_name":"Farmer","full_name":"Farmer, R.","first_name":"R."},{"full_name":"Vartanyan, D.","first_name":"D.","last_name":"Vartanyan"},{"last_name":"de Mink","full_name":"de Mink, S. E.","first_name":"S. E."}],"date_published":"2021-12-02T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"13455","oa_version":"Published Version","quality_controlled":"1","article_number":"A58","main_file_link":[{"url":"https://doi.org/10.1051/0004-6361/202140506","open_access":"1"}],"date_updated":"2025-01-14T14:11:32Z","status":"public","month":"12","volume":656,"publication_status":"published","type":"journal_article","scopus_import":"1","publication":"Astronomy & Astrophysics","keyword":["Space and Planetary Science","Astronomy and Astrophysics"],"language":[{"iso":"eng"}]},{"year":"2021","date_created":"2023-08-03T10:11:24Z","intvolume":"       918","external_id":{"arxiv":["2102.08408"]},"publication_identifier":{"eissn":["1538-4357"],"issn":["0004-637X"]},"title":"Spectral signatures of population III and envelope-stripped stars in galaxies at the epoch of reionization","extern":"1","citation":{"ista":"Berzin E, Secunda A, Cen R, Menegas A, Götberg YLL. 2021. Spectral signatures of population III and envelope-stripped stars in galaxies at the epoch of reionization. The Astrophysical Journal. 918(1), 5.","ieee":"E. Berzin, A. Secunda, R. Cen, A. Menegas, and Y. L. L. Götberg, “Spectral signatures of population III and envelope-stripped stars in galaxies at the epoch of reionization,” <i>The Astrophysical Journal</i>, vol. 918, no. 1. American Astronomical Society, 2021.","chicago":"Berzin, Elizabeth, Amy Secunda, Renyue Cen, Alexander Menegas, and Ylva Louise Linsdotter Götberg. “Spectral Signatures of Population III and Envelope-Stripped Stars in Galaxies at the Epoch of Reionization.” <i>The Astrophysical Journal</i>. American Astronomical Society, 2021. <a href=\"https://doi.org/10.3847/1538-4357/ac0af6\">https://doi.org/10.3847/1538-4357/ac0af6</a>.","apa":"Berzin, E., Secunda, A., Cen, R., Menegas, A., &#38; Götberg, Y. L. L. (2021). Spectral signatures of population III and envelope-stripped stars in galaxies at the epoch of reionization. <i>The Astrophysical Journal</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/1538-4357/ac0af6\">https://doi.org/10.3847/1538-4357/ac0af6</a>","short":"E. Berzin, A. Secunda, R. Cen, A. Menegas, Y.L.L. Götberg, The Astrophysical Journal 918 (2021).","mla":"Berzin, Elizabeth, et al. “Spectral Signatures of Population III and Envelope-Stripped Stars in Galaxies at the Epoch of Reionization.” <i>The Astrophysical Journal</i>, vol. 918, no. 1, 5, American Astronomical Society, 2021, doi:<a href=\"https://doi.org/10.3847/1538-4357/ac0af6\">10.3847/1538-4357/ac0af6</a>.","ama":"Berzin E, Secunda A, Cen R, Menegas A, Götberg YLL. Spectral signatures of population III and envelope-stripped stars in galaxies at the epoch of reionization. <i>The Astrophysical Journal</i>. 2021;918(1). doi:<a href=\"https://doi.org/10.3847/1538-4357/ac0af6\">10.3847/1538-4357/ac0af6</a>"},"article_processing_charge":"No","publisher":"American Astronomical Society","date_published":"2021-08-27T00:00:00Z","author":[{"last_name":"Berzin","first_name":"Elizabeth","full_name":"Berzin, Elizabeth"},{"last_name":"Secunda","full_name":"Secunda, Amy","first_name":"Amy"},{"full_name":"Cen, Renyue","first_name":"Renyue","last_name":"Cen"},{"last_name":"Menegas","full_name":"Menegas, Alexander","first_name":"Alexander"},{"last_name":"Götberg","id":"d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d","orcid":"0000-0002-6960-6911","first_name":"Ylva Louise Linsdotter","full_name":"Götberg, Ylva Louise Linsdotter"}],"arxiv":1,"oa":1,"abstract":[{"text":"While most simulations of the epoch of reionization have focused on single-stellar populations in star-forming dwarf galaxies, products of binary evolution are expected to significantly contribute to emissions of hydrogen-ionizing photons. Among these products are stripped stars (or helium stars), which have their envelopes stripped from interactions with binary companions, leaving an exposed helium core. Previous work has suggested these stripped stars can dominate the Lyman Continuum (LyC) photon output of high-redshift, low-luminosity galaxies post-starburst. Other sources of hard radiation in the early universe include zero-metallicity Population iii stars, which may have similar spectral energy distribution (SED) properties to galaxies with radiation dominated by stripped-star emissions. Here, we use four metrics (the power-law exponent over wavelength intervals 240–500 Å, 600–900 Å, and 1200–2000 Å, and the ratio of total luminosity in FUV wavelengths to LyC wavelengths) to compare the SEDs of simulated galaxies with only single-stellar evolution, galaxies containing stripped stars, and galaxies containing Population iii stars, with four different initial mass functions (IMFs). We find that stripped stars significantly alter SEDs in the LyC range of galaxies at the epoch of reionization. SEDs in galaxies with stripped stars have lower power-law indices in the LyC range and lower FUV to LyC luminosity ratios. These differences in SEDs are present at all considered luminosities (${M}_{\\mathrm{UV}}\\gt -15$, AB system), and are most pronounced for lower-luminosity galaxies. Intrinsic SEDs as well as those with interstellar medium absorption of galaxies with stripped stars and Population iii stars are found to be distinct for all tested Population iii IMFs.","lang":"eng"}],"day":"27","doi":"10.3847/1538-4357/ac0af6","article_type":"original","issue":"1","publication_status":"published","month":"08","volume":918,"date_updated":"2023-08-21T11:44:50Z","status":"public","main_file_link":[{"open_access":"1","url":"https://doi.org/10.3847/1538-4357/ac0af6"}],"article_number":"5","quality_controlled":"1","_id":"13456","oa_version":"Published Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"publication":"The Astrophysical Journal","keyword":["Space and Planetary Science","Astronomy and Astrophysics"],"scopus_import":"1","type":"journal_article"},{"quality_controlled":"1","article_number":"A70","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"13457","oa_version":"Published Version","month":"08","volume":652,"publication_status":"published","main_file_link":[{"url":"https://doi.org/10.1051/0004-6361/202140507","open_access":"1"}],"date_updated":"2023-08-21T11:49:36Z","status":"public","scopus_import":"1","type":"journal_article","language":[{"iso":"eng"}],"keyword":["Space and Planetary Science","Astronomy and Astrophysics"],"publication":"Astronomy & Astrophysics","publisher":"EDP Sciences","article_processing_charge":"No","extern":"1","citation":{"mla":"Bodensteiner, J., et al. “The Young Massive SMC Cluster NGC 330 Seen by MUSE. II. Multiplicity Properties of the Massive-Star Population.” <i>Astronomy &#38; Astrophysics</i>, vol. 652, A70, EDP Sciences, 2021, doi:<a href=\"https://doi.org/10.1051/0004-6361/202140507\">10.1051/0004-6361/202140507</a>.","ama":"Bodensteiner J, Sana H, Wang C, et al. The young massive SMC cluster NGC 330 seen by MUSE. II. Multiplicity properties of the massive-star population. <i>Astronomy &#38; Astrophysics</i>. 2021;652. doi:<a href=\"https://doi.org/10.1051/0004-6361/202140507\">10.1051/0004-6361/202140507</a>","short":"J. Bodensteiner, H. Sana, C. Wang, N. Langer, L. Mahy, G. Banyard, A. de Koter, S.E. de Mink, C.J. Evans, Y.L.L. Götberg, L.R. Patrick, F.R.N. Schneider, F. Tramper, Astronomy &#38; Astrophysics 652 (2021).","chicago":"Bodensteiner, J., H. Sana, C. Wang, N. Langer, L. Mahy, G. Banyard, A. de Koter, et al. “The Young Massive SMC Cluster NGC 330 Seen by MUSE. II. Multiplicity Properties of the Massive-Star Population.” <i>Astronomy &#38; Astrophysics</i>. EDP Sciences, 2021. <a href=\"https://doi.org/10.1051/0004-6361/202140507\">https://doi.org/10.1051/0004-6361/202140507</a>.","apa":"Bodensteiner, J., Sana, H., Wang, C., Langer, N., Mahy, L., Banyard, G., … Tramper, F. (2021). The young massive SMC cluster NGC 330 seen by MUSE. II. Multiplicity properties of the massive-star population. <i>Astronomy &#38; Astrophysics</i>. EDP Sciences. <a href=\"https://doi.org/10.1051/0004-6361/202140507\">https://doi.org/10.1051/0004-6361/202140507</a>","ista":"Bodensteiner J, Sana H, Wang C, Langer N, Mahy L, Banyard G, de Koter A, de Mink SE, Evans CJ, Götberg YLL, Patrick LR, Schneider FRN, Tramper F. 2021. The young massive SMC cluster NGC 330 seen by MUSE. II. Multiplicity properties of the massive-star population. Astronomy &#38; Astrophysics. 652, A70.","ieee":"J. Bodensteiner <i>et al.</i>, “The young massive SMC cluster NGC 330 seen by MUSE. II. Multiplicity properties of the massive-star population,” <i>Astronomy &#38; Astrophysics</i>, vol. 652. EDP Sciences, 2021."},"publication_identifier":{"issn":["0004-6361"],"eissn":["1432-0746"]},"external_id":{"arxiv":["2104.13409"]},"intvolume":"       652","year":"2021","date_created":"2023-08-03T10:11:34Z","title":"The young massive SMC cluster NGC 330 seen by MUSE. II. Multiplicity properties of the massive-star population","doi":"10.1051/0004-6361/202140507","article_type":"original","oa":1,"author":[{"last_name":"Bodensteiner","full_name":"Bodensteiner, J.","first_name":"J."},{"first_name":"H.","full_name":"Sana, H.","last_name":"Sana"},{"last_name":"Wang","first_name":"C.","full_name":"Wang, C."},{"last_name":"Langer","first_name":"N.","full_name":"Langer, N."},{"last_name":"Mahy","first_name":"L.","full_name":"Mahy, L."},{"last_name":"Banyard","first_name":"G.","full_name":"Banyard, G."},{"first_name":"A.","full_name":"de Koter, A.","last_name":"de Koter"},{"last_name":"de Mink","full_name":"de Mink, S. E.","first_name":"S. E."},{"full_name":"Evans, C. J.","first_name":"C. J.","last_name":"Evans"},{"id":"d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d","last_name":"Götberg","first_name":"Ylva Louise Linsdotter","full_name":"Götberg, Ylva Louise Linsdotter","orcid":"0000-0002-6960-6911"},{"full_name":"Patrick, L. R.","first_name":"L. R.","last_name":"Patrick"},{"last_name":"Schneider","full_name":"Schneider, F. R. N.","first_name":"F. R. N."},{"full_name":"Tramper, F.","first_name":"F.","last_name":"Tramper"}],"arxiv":1,"date_published":"2021-08-12T00:00:00Z","day":"12","abstract":[{"text":"Context. Observations of massive stars in open clusters younger than ∼8 Myr have shown that a majority of them are in binary systems, most of which will interact during their life. While these can be used as a proxy of the initial multiplicity properties, studying populations of massive stars older than ∼20 Myr allows us to probe the outcome of these interactions after a significant number of systems have experienced mass and angular momentum transfer and may even have merged.\r\n\r\nAims. Using multi-epoch integral-field spectroscopy, we aim to investigate the multiplicity properties of the massive-star population in the dense core of the ∼40 Myr old cluster NGC 330 in the Small Magellanic Cloud in order to search for possible imprints of stellar evolution on the multiplicity properties.\r\n\r\nMethods. We obtained six epochs of VLT/MUSE observations operated in wide-field mode with the extended wavelength setup and supported by adaptive optics. We extracted spectra and measured radial velocities for stars brighter than mF814W = 19. We identified single-lined spectroscopic binaries through significant RV variability with a peak-to-peak amplitude larger than 20 km s−1. We also identified double-lined spectroscopic binaries, and quantified the observational biases for binary detection. In particular, we took into account that binary systems with similar line strengths are difficult to detect in our data set.\r\n\r\nResults. The observed spectroscopic binary fraction among stars brighter than mF814W = 19 (approximately 5.5 M⊙ on the main sequence) is fSBobs = 13.2 ± 2.0%. Considering period and mass ratio ranges from log(P) = 0.15−3.5 (about 1.4 to 3160 d), q = 0.1−1.0, and a representative set of orbital parameter distributions, we find a bias-corrected close binary fraction of fcl = 34−7+8%. This fraction seems to decline for the fainter stars, which indicates either that the close binary fraction drops in the B-type domain, or that the period distribution becomes more heavily weighted toward longer orbital periods. We further find that both fractions vary strongly in different regions of the color-magnitude diagram, which corresponds to different evolutionary stages. This probably reveals the imprint of the binary history of different groups of stars. In particular, we find that the observed spectroscopic binary fraction of Be stars (fSBobs = 2 ± 2%) is significantly lower than that of B-type stars (fSBobs = 9 ± 2%).\r\n\r\nConclusions. We provide the first homogeneous radial velocity study of a large sample of B-type stars at a low metallicity ([Fe/H] ≲ −1.0). The overall bias-corrected close binary fraction (log(P) < 3.5 d) of the B-star population in NGC 330 is lower than the fraction reported for younger Galactic and Large Magellanic Cloud clusters in previous works. More data are needed, however, to establish whether the observed differences are caused by an age or a metallicity effect.","lang":"eng"}]},{"status":"public","date_updated":"2023-08-21T11:37:48Z","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2104.03317"}],"publication_status":"published","volume":916,"month":"07","_id":"13458","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"Preprint","quality_controlled":"1","article_number":"L5","publication":"The Astrophysical Journal Letters","keyword":["Space and Planetary Science","Astronomy and Astrophysics"],"language":[{"iso":"eng"}],"type":"journal_article","scopus_import":"1","title":"Binary-stripped stars as core-collapse supernovae progenitors","intvolume":"       916","date_created":"2023-08-03T10:11:45Z","year":"2021","publication_identifier":{"issn":["2041-8205"],"eissn":["2041-8213"]},"external_id":{"arxiv":["2104.03317"]},"citation":{"ama":"Vartanyan D, Laplace E, Renzo M, Götberg YLL, Burrows A, de Mink SE. Binary-stripped stars as core-collapse supernovae progenitors. <i>The Astrophysical Journal Letters</i>. 2021;916(1). doi:<a href=\"https://doi.org/10.3847/2041-8213/ac0b42\">10.3847/2041-8213/ac0b42</a>","mla":"Vartanyan, David, et al. “Binary-Stripped Stars as Core-Collapse Supernovae Progenitors.” <i>The Astrophysical Journal Letters</i>, vol. 916, no. 1, L5, American Astronomical Society, 2021, doi:<a href=\"https://doi.org/10.3847/2041-8213/ac0b42\">10.3847/2041-8213/ac0b42</a>.","short":"D. Vartanyan, E. Laplace, M. Renzo, Y.L.L. Götberg, A. Burrows, S.E. de Mink, The Astrophysical Journal Letters 916 (2021).","apa":"Vartanyan, D., Laplace, E., Renzo, M., Götberg, Y. L. L., Burrows, A., &#38; de Mink, S. E. (2021). Binary-stripped stars as core-collapse supernovae progenitors. <i>The Astrophysical Journal Letters</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/2041-8213/ac0b42\">https://doi.org/10.3847/2041-8213/ac0b42</a>","chicago":"Vartanyan, David, Eva Laplace, Mathieu Renzo, Ylva Louise Linsdotter Götberg, Adam Burrows, and Selma E. de Mink. “Binary-Stripped Stars as Core-Collapse Supernovae Progenitors.” <i>The Astrophysical Journal Letters</i>. American Astronomical Society, 2021. <a href=\"https://doi.org/10.3847/2041-8213/ac0b42\">https://doi.org/10.3847/2041-8213/ac0b42</a>.","ista":"Vartanyan D, Laplace E, Renzo M, Götberg YLL, Burrows A, de Mink SE. 2021. Binary-stripped stars as core-collapse supernovae progenitors. The Astrophysical Journal Letters. 916(1), L5.","ieee":"D. Vartanyan, E. Laplace, M. Renzo, Y. L. L. Götberg, A. Burrows, and S. E. de Mink, “Binary-stripped stars as core-collapse supernovae progenitors,” <i>The Astrophysical Journal Letters</i>, vol. 916, no. 1. American Astronomical Society, 2021."},"extern":"1","publisher":"American Astronomical Society","article_processing_charge":"No","abstract":[{"text":"Most massive stars experience binary interactions in their lifetimes that can alter both the surface and core structure of the stripped star with significant effects on their ultimate fate as core-collapse supernovae. However, core-collapse supernovae simulations to date have focused almost exclusively on the evolution of single stars. We present a systematic simulation study of single and binary-stripped stars with the same initial mass as candidates for core-collapse supernovae (11–21 M⊙). Generally, we find that binary-stripped stars core tend to have a smaller compactness parameter, with a more prominent, deeper silicon/oxygen interface, and explode preferentially to the corresponding single stars of the same initial mass. Such a dichotomy of behavior between these two modes of evolution would have important implications for supernovae statistics, including the final neutron star masses, explosion energies, and nucleosynthetic yields. Binary-stripped remnants are also well poised to populate the possible mass gap between the heaviest neutron stars and the lightest black holes. Our work presents an improvement along two fronts, as we self-consistently account for the pre-collapse stellar evolution and the subsequent explosion outcome. Even so, our results emphasize the need for more detailed stellar evolutionary models to capture the sensitive nature of explosion outcome.","lang":"eng"}],"day":"23","date_published":"2021-07-23T00:00:00Z","oa":1,"arxiv":1,"author":[{"last_name":"Vartanyan","full_name":"Vartanyan, David","first_name":"David"},{"full_name":"Laplace, Eva","first_name":"Eva","last_name":"Laplace"},{"first_name":"Mathieu","full_name":"Renzo, Mathieu","last_name":"Renzo"},{"orcid":"0000-0002-6960-6911","first_name":"Ylva Louise Linsdotter","full_name":"Götberg, Ylva Louise Linsdotter","last_name":"Götberg","id":"d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d"},{"full_name":"Burrows, Adam","first_name":"Adam","last_name":"Burrows"},{"last_name":"de Mink","full_name":"de Mink, Selma E.","first_name":"Selma E."}],"article_type":"original","issue":"1","doi":"10.3847/2041-8213/ac0b42"},{"date_published":"2021-05-04T00:00:00Z","oa":1,"arxiv":1,"author":[{"last_name":"Wang","full_name":"Wang, Luqian","first_name":"Luqian"},{"full_name":"Gies, Douglas R.","first_name":"Douglas R.","last_name":"Gies"},{"full_name":"Peters, Geraldine J.","first_name":"Geraldine J.","last_name":"Peters"},{"last_name":"Götberg","id":"d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d","orcid":"0000-0002-6960-6911","first_name":"Ylva Louise Linsdotter","full_name":"Götberg, Ylva Louise Linsdotter"},{"first_name":"S. Drew","full_name":"Chojnowski, S. Drew","last_name":"Chojnowski"},{"first_name":"Kathryn V.","full_name":"Lester, Kathryn V.","last_name":"Lester"},{"first_name":"Steve B.","full_name":"Howell, Steve B.","last_name":"Howell"}],"abstract":[{"text":"The B emission-line stars are rapid rotators that were probably spun up by mass and angular momentum accretion through mass transfer in an interacting binary. Mass transfer will strip the donor star of its envelope to create a small and hot subdwarf remnant. Here we report on Hubble Space Telescope/STIS far-ultraviolet spectroscopy of a sample of Be stars that reveals the presence of the hot sdO companion through the calculation of cross-correlation functions of the observed and model spectra. We clearly detect the spectral signature of the sdO star in 10 of the 13 stars in the sample, and the spectral signals indicate that the sdO stars are hot, relatively faint, and slowly rotating as predicted by models. A comparison of their temperatures and radii with evolutionary tracks indicates that the sdO stars occupy the relatively long-lived, He-core burning stage. Only 1 of the 10 detections was a known binary prior to this investigation, which emphasizes the difficulty of finding such Be+sdO binaries through optical spectroscopy. However, these results and others indicate that many Be stars probably host hot subdwarf companions.","lang":"eng"}],"day":"04","doi":"10.3847/1538-3881/abf144","article_type":"original","issue":"5","intvolume":"       161","date_created":"2023-08-03T10:11:57Z","year":"2021","publication_identifier":{"issn":["0004-6256"],"eissn":["1538-3881"]},"external_id":{"arxiv":["2103.13642"]},"title":"The detection and characterization of Be+sdO binaries from HST/STIS FUV spectroscopy","extern":"1","citation":{"mla":"Wang, Luqian, et al. “The Detection and Characterization of Be+sdO Binaries from HST/STIS FUV Spectroscopy.” <i>The Astronomical Journal</i>, vol. 161, no. 5, 248, American Astronomical Society, 2021, doi:<a href=\"https://doi.org/10.3847/1538-3881/abf144\">10.3847/1538-3881/abf144</a>.","ama":"Wang L, Gies DR, Peters GJ, et al. The detection and characterization of Be+sdO binaries from HST/STIS FUV spectroscopy. <i>The Astronomical Journal</i>. 2021;161(5). doi:<a href=\"https://doi.org/10.3847/1538-3881/abf144\">10.3847/1538-3881/abf144</a>","short":"L. Wang, D.R. Gies, G.J. Peters, Y.L.L. Götberg, S.D. Chojnowski, K.V. Lester, S.B. Howell, The Astronomical Journal 161 (2021).","apa":"Wang, L., Gies, D. R., Peters, G. J., Götberg, Y. L. L., Chojnowski, S. D., Lester, K. V., &#38; Howell, S. B. (2021). The detection and characterization of Be+sdO binaries from HST/STIS FUV spectroscopy. <i>The Astronomical Journal</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/1538-3881/abf144\">https://doi.org/10.3847/1538-3881/abf144</a>","chicago":"Wang, Luqian, Douglas R. Gies, Geraldine J. Peters, Ylva Louise Linsdotter Götberg, S. Drew Chojnowski, Kathryn V. Lester, and Steve B. Howell. “The Detection and Characterization of Be+sdO Binaries from HST/STIS FUV Spectroscopy.” <i>The Astronomical Journal</i>. American Astronomical Society, 2021. <a href=\"https://doi.org/10.3847/1538-3881/abf144\">https://doi.org/10.3847/1538-3881/abf144</a>.","ieee":"L. Wang <i>et al.</i>, “The detection and characterization of Be+sdO binaries from HST/STIS FUV spectroscopy,” <i>The Astronomical Journal</i>, vol. 161, no. 5. American Astronomical Society, 2021.","ista":"Wang L, Gies DR, Peters GJ, Götberg YLL, Chojnowski SD, Lester KV, Howell SB. 2021. The detection and characterization of Be+sdO binaries from HST/STIS FUV spectroscopy. The Astronomical Journal. 161(5), 248."},"publisher":"American Astronomical Society","article_processing_charge":"No","language":[{"iso":"eng"}],"publication":"The Astronomical Journal","keyword":["Space and Planetary Science","Astronomy and Astrophysics"],"scopus_import":"1","type":"journal_article","month":"05","volume":161,"publication_status":"published","status":"public","date_updated":"2023-08-21T11:35:50Z","main_file_link":[{"url":"https://arxiv.org/abs/2103.13642","open_access":"1"}],"quality_controlled":"1","article_number":"248","oa_version":"Preprint","_id":"13459","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1126/sciadv.abj8121"}],"status":"public","date_updated":"2024-10-14T12:23:37Z","publication_status":"published","month":"12","volume":7,"oa_version":"Published Version","_id":"13995","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","article_number":"abj8121","keyword":["Multidisciplinary"],"publication":"Science Advances","language":[{"iso":"eng"}],"type":"journal_article","scopus_import":"1","pmid":1,"title":"Attosecond interferometry of shape resonances in the recoil frame of CF4","publication_identifier":{"eissn":["2375-2548"]},"external_id":{"pmid":["34860540"]},"intvolume":"         7","year":"2021","date_created":"2023-08-09T13:09:02Z","publisher":"American Association for the Advancement of Science","article_processing_charge":"No","citation":{"short":"S. Heck, D.R. Baykusheva, M. Han, J.-B. Ji, C. Perry, X. Gong, H.J. Wörner, Science Advances 7 (2021).","ama":"Heck S, Baykusheva DR, Han M, et al. Attosecond interferometry of shape resonances in the recoil frame of CF4. <i>Science Advances</i>. 2021;7(49). doi:<a href=\"https://doi.org/10.1126/sciadv.abj8121\">10.1126/sciadv.abj8121</a>","mla":"Heck, Saijoscha, et al. “Attosecond Interferometry of Shape Resonances in the Recoil Frame of CF4.” <i>Science Advances</i>, vol. 7, no. 49, abj8121, American Association for the Advancement of Science, 2021, doi:<a href=\"https://doi.org/10.1126/sciadv.abj8121\">10.1126/sciadv.abj8121</a>.","ista":"Heck S, Baykusheva DR, Han M, Ji J-B, Perry C, Gong X, Wörner HJ. 2021. Attosecond interferometry of shape resonances in the recoil frame of CF4. Science Advances. 7(49), abj8121.","ieee":"S. Heck <i>et al.</i>, “Attosecond interferometry of shape resonances in the recoil frame of CF4,” <i>Science Advances</i>, vol. 7, no. 49. American Association for the Advancement of Science, 2021.","chicago":"Heck, Saijoscha, Denitsa Rangelova Baykusheva, Meng Han, Jia-Bao Ji, Conaill Perry, Xiaochun Gong, and Hans Jakob Wörner. “Attosecond Interferometry of Shape Resonances in the Recoil Frame of CF4.” <i>Science Advances</i>. American Association for the Advancement of Science, 2021. <a href=\"https://doi.org/10.1126/sciadv.abj8121\">https://doi.org/10.1126/sciadv.abj8121</a>.","apa":"Heck, S., Baykusheva, D. R., Han, M., Ji, J.-B., Perry, C., Gong, X., &#38; Wörner, H. J. (2021). Attosecond interferometry of shape resonances in the recoil frame of CF4. <i>Science Advances</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/sciadv.abj8121\">https://doi.org/10.1126/sciadv.abj8121</a>"},"extern":"1","day":"03","abstract":[{"lang":"eng","text":"Shape resonances play a central role in many areas of science, but the real-time measurement of the associated many-body dynamics remains challenging. Here, we present measurements of recoil frame angle-resolved photoionization delays in the vicinity of shape resonances of CF4. This technique provides insights into the spatiotemporal photoionization dynamics of molecular shape resonances. We find delays of up to ∼600 as in the ionization out of the highest occupied molecular orbital (HOMO) with a strong dependence on the emission direction and a pronounced asymmetry along the dissociation axis. Comparison with quantum-scattering calculations traces the asymmetries to the interference of a small subset of partial waves at low kinetic energies and, additionally, to the interference of two overlapping shape resonances in the HOMO-1 channel. Our experimental and theoretical results establish a broadly applicable approach to space- and time-resolved photoionization dynamics in the molecular frame."}],"oa":1,"author":[{"full_name":"Heck, Saijoscha","first_name":"Saijoscha","last_name":"Heck"},{"last_name":"Baykusheva","id":"71b4d059-2a03-11ee-914d-dfa3beed6530","first_name":"Denitsa Rangelova","full_name":"Baykusheva, Denitsa Rangelova"},{"first_name":"Meng","full_name":"Han, Meng","last_name":"Han"},{"full_name":"Ji, Jia-Bao","first_name":"Jia-Bao","last_name":"Ji"},{"first_name":"Conaill","full_name":"Perry, Conaill","last_name":"Perry"},{"first_name":"Xiaochun","full_name":"Gong, Xiaochun","last_name":"Gong"},{"full_name":"Wörner, Hans Jakob","first_name":"Hans Jakob","last_name":"Wörner"}],"date_published":"2021-12-03T00:00:00Z","issue":"49","article_type":"original","doi":"10.1126/sciadv.abj8121"},{"keyword":["Mechanical Engineering","Condensed Matter Physics","General Materials Science","General Chemistry","Bioengineering"],"publication":"Nano Letters","language":[{"iso":"eng"}],"type":"journal_article","scopus_import":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1021/acs.nanolett.1c02145"}],"date_updated":"2024-10-14T12:26:13Z","status":"public","volume":21,"month":"10","publication_status":"published","_id":"13996","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"8970-8978","oa_version":"Published Version","quality_controlled":"1","day":"22","abstract":[{"text":"We report the observation of an anomalous nonlinear optical response of the prototypical three-dimensional topological insulator bismuth selenide through the process of high-order harmonic generation. We find that the generation efficiency increases as the laser polarization is changed from linear to elliptical, and it becomes maximum for circular polarization. With the aid of a microscopic theory and a detailed analysis of the measured spectra, we reveal that such anomalous enhancement encodes the characteristic topology of the band structure that originates from the interplay of strong spin–orbit coupling and time-reversal symmetry protection. The implications are in ultrafast probing of topological phase transitions, light-field driven dissipationless electronics, and quantum computation.","lang":"eng"}],"arxiv":1,"author":[{"last_name":"Baykusheva","id":"71b4d059-2a03-11ee-914d-dfa3beed6530","full_name":"Baykusheva, Denitsa Rangelova","first_name":"Denitsa Rangelova"},{"full_name":"Chacón, Alexis","first_name":"Alexis","last_name":"Chacón"},{"last_name":"Lu","first_name":"Jian","full_name":"Lu, Jian"},{"last_name":"Bailey","first_name":"Trevor P.","full_name":"Bailey, Trevor P."},{"last_name":"Sobota","first_name":"Jonathan A.","full_name":"Sobota, Jonathan A."},{"first_name":"Hadas","full_name":"Soifer, Hadas","last_name":"Soifer"},{"full_name":"Kirchmann, Patrick S.","first_name":"Patrick S.","last_name":"Kirchmann"},{"last_name":"Rotundu","first_name":"Costel","full_name":"Rotundu, Costel"},{"last_name":"Uher","first_name":"Ctirad","full_name":"Uher, Ctirad"},{"last_name":"Heinz","full_name":"Heinz, Tony F.","first_name":"Tony F."},{"last_name":"Reis","full_name":"Reis, David A.","first_name":"David A."},{"last_name":"Ghimire","first_name":"Shambhu","full_name":"Ghimire, Shambhu"}],"oa":1,"date_published":"2021-10-22T00:00:00Z","issue":"21","article_type":"original","doi":"10.1021/acs.nanolett.1c02145","title":"All-optical probe of three-dimensional topological insulators based on high-harmonic generation by circularly polarized laser fields","pmid":1,"external_id":{"pmid":["34676752"],"arxiv":["2109.15291"]},"publication_identifier":{"issn":["1530-6984"],"eissn":["1530-6992"]},"date_created":"2023-08-09T13:09:15Z","year":"2021","intvolume":"        21","article_processing_charge":"No","publisher":"American Chemical Society","citation":{"ama":"Baykusheva DR, Chacón A, Lu J, et al. All-optical probe of three-dimensional topological insulators based on high-harmonic generation by circularly polarized laser fields. <i>Nano Letters</i>. 2021;21(21):8970-8978. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.1c02145\">10.1021/acs.nanolett.1c02145</a>","mla":"Baykusheva, Denitsa Rangelova, et al. “All-Optical Probe of Three-Dimensional Topological Insulators Based on High-Harmonic Generation by Circularly Polarized Laser Fields.” <i>Nano Letters</i>, vol. 21, no. 21, American Chemical Society, 2021, pp. 8970–78, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.1c02145\">10.1021/acs.nanolett.1c02145</a>.","short":"D.R. Baykusheva, A. Chacón, J. Lu, T.P. Bailey, J.A. Sobota, H. Soifer, P.S. Kirchmann, C. Rotundu, C. Uher, T.F. Heinz, D.A. Reis, S. Ghimire, Nano Letters 21 (2021) 8970–8978.","chicago":"Baykusheva, Denitsa Rangelova, Alexis Chacón, Jian Lu, Trevor P. Bailey, Jonathan A. Sobota, Hadas Soifer, Patrick S. Kirchmann, et al. “All-Optical Probe of Three-Dimensional Topological Insulators Based on High-Harmonic Generation by Circularly Polarized Laser Fields.” <i>Nano Letters</i>. American Chemical Society, 2021. <a href=\"https://doi.org/10.1021/acs.nanolett.1c02145\">https://doi.org/10.1021/acs.nanolett.1c02145</a>.","apa":"Baykusheva, D. R., Chacón, A., Lu, J., Bailey, T. P., Sobota, J. A., Soifer, H., … Ghimire, S. (2021). All-optical probe of three-dimensional topological insulators based on high-harmonic generation by circularly polarized laser fields. <i>Nano Letters</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.nanolett.1c02145\">https://doi.org/10.1021/acs.nanolett.1c02145</a>","ista":"Baykusheva DR, Chacón A, Lu J, Bailey TP, Sobota JA, Soifer H, Kirchmann PS, Rotundu C, Uher C, Heinz TF, Reis DA, Ghimire S. 2021. All-optical probe of three-dimensional topological insulators based on high-harmonic generation by circularly polarized laser fields. Nano Letters. 21(21), 8970–8978.","ieee":"D. R. Baykusheva <i>et al.</i>, “All-optical probe of three-dimensional topological insulators based on high-harmonic generation by circularly polarized laser fields,” <i>Nano Letters</i>, vol. 21, no. 21. American Chemical Society, pp. 8970–8978, 2021."},"extern":"1"},{"quality_controlled":"1","article_number":"023101","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"13997","oa_version":"Preprint","publication_status":"published","volume":103,"month":"02","main_file_link":[{"url":"https://arxiv.org/abs/2008.01265","open_access":"1"}],"status":"public","date_updated":"2024-10-14T12:26:26Z","scopus_import":"1","type":"journal_article","language":[{"iso":"eng"}],"publication":"Physical Review A","article_processing_charge":"No","publisher":"American Physical Society","extern":"1","citation":{"ieee":"D. R. Baykusheva, A. Chacón, D. Kim, D. E. Kim, D. A. Reis, and S. Ghimire, “Strong-field physics in three-dimensional topological insulators,” <i>Physical Review A</i>, vol. 103, no. 2. American Physical Society, 2021.","ista":"Baykusheva DR, Chacón A, Kim D, Kim DE, Reis DA, Ghimire S. 2021. Strong-field physics in three-dimensional topological insulators. Physical Review A. 103(2), 023101.","chicago":"Baykusheva, Denitsa Rangelova, Alexis Chacón, Dasol Kim, Dong Eon Kim, David A. Reis, and Shambhu Ghimire. “Strong-Field Physics in Three-Dimensional Topological Insulators.” <i>Physical Review A</i>. American Physical Society, 2021. <a href=\"https://doi.org/10.1103/physreva.103.023101\">https://doi.org/10.1103/physreva.103.023101</a>.","apa":"Baykusheva, D. R., Chacón, A., Kim, D., Kim, D. E., Reis, D. A., &#38; Ghimire, S. (2021). Strong-field physics in three-dimensional topological insulators. <i>Physical Review A</i>. American Physical Society. <a href=\"https://doi.org/10.1103/physreva.103.023101\">https://doi.org/10.1103/physreva.103.023101</a>","short":"D.R. Baykusheva, A. Chacón, D. Kim, D.E. Kim, D.A. Reis, S. Ghimire, Physical Review A 103 (2021).","ama":"Baykusheva DR, Chacón A, Kim D, Kim DE, Reis DA, Ghimire S. Strong-field physics in three-dimensional topological insulators. <i>Physical Review A</i>. 2021;103(2). doi:<a href=\"https://doi.org/10.1103/physreva.103.023101\">10.1103/physreva.103.023101</a>","mla":"Baykusheva, Denitsa Rangelova, et al. “Strong-Field Physics in Three-Dimensional Topological Insulators.” <i>Physical Review A</i>, vol. 103, no. 2, 023101, American Physical Society, 2021, doi:<a href=\"https://doi.org/10.1103/physreva.103.023101\">10.1103/physreva.103.023101</a>."},"publication_identifier":{"issn":["2469-9926"],"eissn":["2469-9934"]},"external_id":{"arxiv":["2008.01265"]},"intvolume":"       103","year":"2021","date_created":"2023-08-09T13:09:26Z","title":"Strong-field physics in three-dimensional topological insulators","doi":"10.1103/physreva.103.023101","issue":"2","article_type":"original","oa":1,"arxiv":1,"author":[{"first_name":"Denitsa Rangelova","full_name":"Baykusheva, Denitsa Rangelova","last_name":"Baykusheva","id":"71b4d059-2a03-11ee-914d-dfa3beed6530"},{"full_name":"Chacón, Alexis","first_name":"Alexis","last_name":"Chacón"},{"last_name":"Kim","first_name":"Dasol","full_name":"Kim, Dasol"},{"full_name":"Kim, Dong Eon","first_name":"Dong Eon","last_name":"Kim"},{"last_name":"Reis","first_name":"David A.","full_name":"Reis, David A."},{"full_name":"Ghimire, Shambhu","first_name":"Shambhu","last_name":"Ghimire"}],"date_published":"2021-02-01T00:00:00Z","day":"01","abstract":[{"lang":"eng","text":"We investigate theoretically the strong-field regime of light-matter interactions in the topological-insulator class of quantum materials. In particular, we focus on the process of nonperturbative high-order harmonic generation from the paradigmatic three-dimensional topological insulator bismuth selenide (Bi2Se3) subjected to intense midinfrared laser fields. We analyze the contributions from the spin-orbit-coupled bulk states and the topological surface bands separately and reveal a major difference in how their harmonic yields depend on the ellipticity of the laser field. Bulk harmonics show a monotonic decrease in their yield as the ellipticity increases, in a manner reminiscent of high harmonic generation in gaseous media. However, the surface contribution exhibits a highly nontrivial dependence, culminating with a maximum for circularly polarized fields. We attribute the observed anomalous behavior to (i) the enhanced amplitude and the circular pattern of the interband dipole and the Berry connections in the vicinity of the Dirac point and (ii) the influence of the higher-order, hexagonal warping terms in the Hamiltonian, which are responsible for the hexagonal deformation of the energy surface at higher momenta. The latter are associated directly with spin-orbit-coupling parameters. Our results thus establish the sensitivity of strong-field-driven high harmonic emission to the topology of the band structure as well as to the manifestations of spin-orbit interaction."}]},{"date_published":"2021-11-30T00:00:00Z","oa":1,"language":[{"iso":"eng"}],"arxiv":1,"author":[{"first_name":"S. R.","full_name":"Kulkarni, S. R.","last_name":"Kulkarni"},{"last_name":"Harrison","full_name":"Harrison, Fiona A.","first_name":"Fiona A."},{"last_name":"Grefenstette","full_name":"Grefenstette, Brian W.","first_name":"Brian W."},{"last_name":"Earnshaw","first_name":"Hannah P.","full_name":"Earnshaw, Hannah P."},{"first_name":"Igor","full_name":"Andreoni, Igor","last_name":"Andreoni"},{"first_name":"Danielle A.","full_name":"Berg, Danielle A.","last_name":"Berg"},{"full_name":"Bloom, Joshua S.","first_name":"Joshua S.","last_name":"Bloom"},{"last_name":"Cenko","first_name":"S. Bradley","full_name":"Cenko, S. Bradley"},{"full_name":"Chornock, Ryan","first_name":"Ryan","last_name":"Chornock"},{"full_name":"Christiansen, Jessie L.","first_name":"Jessie L.","last_name":"Christiansen"},{"full_name":"Coughlin, Michael W.","first_name":"Michael W.","last_name":"Coughlin"},{"last_name":"Criswell","first_name":"Alexander Wuollet","full_name":"Criswell, Alexander Wuollet"},{"last_name":"Darvish","first_name":"Behnam","full_name":"Darvish, Behnam"},{"last_name":"Das","full_name":"Das, Kaustav K.","first_name":"Kaustav K."},{"first_name":"Kishalay","full_name":"De, Kishalay","last_name":"De"},{"last_name":"Dessart","full_name":"Dessart, Luc","first_name":"Luc"},{"last_name":"Dixon","first_name":"Don","full_name":"Dixon, Don"},{"first_name":"Bas","full_name":"Dorsman, Bas","last_name":"Dorsman"},{"full_name":"Kareem El-Badry, Kareem El-Badry","first_name":"Kareem El-Badry","last_name":"Kareem El-Badry"},{"full_name":"Evans, Christopher","first_name":"Christopher","last_name":"Evans"},{"full_name":"Ford, K. E. Saavik","first_name":"K. E. Saavik","last_name":"Ford"},{"full_name":"Fremling, Christoffer","first_name":"Christoffer","last_name":"Fremling"},{"first_name":"Boris T.","full_name":"Gansicke, Boris T.","last_name":"Gansicke"},{"last_name":"Gezari","full_name":"Gezari, Suvi","first_name":"Suvi"},{"orcid":"0000-0002-6960-6911","first_name":"Ylva Louise Linsdotter","full_name":"Götberg, Ylva Louise Linsdotter","last_name":"Götberg","id":"d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d"},{"full_name":"Green, Gregory M.","first_name":"Gregory M.","last_name":"Green"},{"last_name":"Graham","full_name":"Graham, Matthew J.","first_name":"Matthew J."},{"first_name":"Marianne","full_name":"Heida, Marianne","last_name":"Heida"},{"last_name":"Ho","first_name":"Anna Y. Q.","full_name":"Ho, Anna Y. Q."},{"full_name":"Jaodand, Amruta D.","first_name":"Amruta D.","last_name":"Jaodand"},{"last_name":"Christopher M. Johns-Krull","first_name":"Christopher M. Johns-Krull","full_name":"Christopher M. Johns-Krull, Christopher M. Johns-Krull"},{"last_name":"Kasliwal","first_name":"Mansi M.","full_name":"Kasliwal, Mansi M."},{"full_name":"Lazzarini, Margaret","first_name":"Margaret","last_name":"Lazzarini"},{"last_name":"Lu","full_name":"Lu, Wenbin","first_name":"Wenbin"},{"last_name":"Margutti","first_name":"Raffaella","full_name":"Margutti, Raffaella"},{"full_name":"Martin, D. Christopher","first_name":"D. Christopher","last_name":"Martin"},{"last_name":"Masters","full_name":"Masters, Daniel Charles","first_name":"Daniel Charles"},{"full_name":"McKernan, Barry","first_name":"Barry","last_name":"McKernan"},{"last_name":"Naze","full_name":"Naze, Yael","first_name":"Yael"},{"full_name":"Nissanke, Samaya M.","first_name":"Samaya M.","last_name":"Nissanke"},{"full_name":"Parazin, B.","first_name":"B.","last_name":"Parazin"},{"last_name":"Perley","full_name":"Perley, Daniel A.","first_name":"Daniel A."},{"first_name":"E. Sterl","full_name":"Phinney, E. Sterl","last_name":"Phinney"},{"last_name":"Piro","full_name":"Piro, Anthony L.","first_name":"Anthony L."},{"last_name":"Raaijmakers","first_name":"G.","full_name":"Raaijmakers, G."},{"full_name":"Rauw, Gregor","first_name":"Gregor","last_name":"Rauw"},{"last_name":"Rodriguez","full_name":"Rodriguez, Antonio C.","first_name":"Antonio C."},{"first_name":"Hugues","full_name":"Sana, Hugues","last_name":"Sana"},{"full_name":"Senchyna, Peter","first_name":"Peter","last_name":"Senchyna"},{"last_name":"Singer","first_name":"Leo P.","full_name":"Singer, Leo P."},{"first_name":"Jessica J.","full_name":"Spake, Jessica J.","last_name":"Spake"},{"first_name":"Keivan G.","full_name":"Stassun, Keivan G.","last_name":"Stassun"},{"full_name":"Stern, Daniel","first_name":"Daniel","last_name":"Stern"},{"last_name":"Teplitz","first_name":"Harry I.","full_name":"Teplitz, Harry I."},{"full_name":"Weisz, Daniel R.","first_name":"Daniel R.","last_name":"Weisz"},{"full_name":"Yao, Yuhan","first_name":"Yuhan","last_name":"Yao"}],"abstract":[{"lang":"eng","text":"UVEX is a proposed medium class Explorer mission designed to provide crucial missing capabilities that will address objectives central to a broad range of modern astrophysics. The UVEX design has two co-aligned wide-field imagers operating in the FUV and NUV and a powerful broadband medium resolution spectrometer. In its two-year baseline mission, UVEX will perform a multi-cadence synoptic all-sky survey 50/100 times deeper than GALEX in the NUV/FUV, cadenced surveys of the Large and Small Magellanic Clouds, rapid target of opportunity followup, as well as spectroscopic followup of samples of stars and galaxies. The science program is built around three pillars. First, UVEX will explore the low-mass, low-metallicity galaxy frontier through imaging and spectroscopic surveys that will probe key aspects of the evolution of galaxies by understanding how star formation and stellar evolution at low metallicities affect the growth and evolution of low-metallicity, low-mass galaxies in the local universe. Such galaxies contain half the mass in the local universe, and are analogs for the first galaxies, but observed at distances that make them accessible to detailed study. Second, UVEX will explore the dynamic universe through time-domain surveys and prompt spectroscopic followup capability will probe the environments, energetics, and emission processes in the early aftermaths of gravitational wave-discovered compact object mergers, discover hot, fast UV transients, and diagnose the early stages of stellar explosions. Finally, UVEX will become a key community resource by leaving a large all-sky legacy data set, enabling a wide range of scientific studies and filling a gap in the new generation of wide-field, sensitive optical and infrared surveys provided by the Rubin, Euclid, and Roman observatories. This paper discusses the scientific potential of UVEX, and the broad scientific program."}],"publication":"arXiv","day":"30","doi":"10.48550/arXiv.2111.15608","type":"preprint","year":"2021","date_created":"2023-08-21T10:11:00Z","month":"11","publication_status":"submitted","external_id":{"arxiv":["2111.15608"]},"title":"Science with the ultraviolet explorer (UVEX)","status":"public","date_updated":"2024-07-16T12:30:12Z","main_file_link":[{"open_access":"1","url":" https://doi.org/10.48550/arXiv.2111.15608"}],"extern":"1","citation":{"ama":"Kulkarni SR, Harrison FA, Grefenstette BW, et al. Science with the ultraviolet explorer (UVEX). <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2111.15608\">10.48550/arXiv.2111.15608</a>","mla":"Kulkarni, S. R., et al. “Science with the Ultraviolet Explorer (UVEX).” <i>ArXiv</i>, 2111.15608, doi:<a href=\"https://doi.org/10.48550/arXiv.2111.15608\">10.48550/arXiv.2111.15608</a>.","short":"S.R. Kulkarni, F.A. Harrison, B.W. Grefenstette, H.P. Earnshaw, I. Andreoni, D.A. Berg, J.S. Bloom, S.B. Cenko, R. Chornock, J.L. Christiansen, M.W. Coughlin, A.W. Criswell, B. Darvish, K.K. Das, K. De, L. Dessart, D. Dixon, B. Dorsman, K.E.-B. Kareem El-Badry, C. Evans, K.E.S. Ford, C. Fremling, B.T. Gansicke, S. Gezari, Y.L.L. Götberg, G.M. Green, M.J. Graham, M. Heida, A.Y.Q. Ho, A.D. Jaodand, C.M.J.-K. Christopher M. Johns-Krull, M.M. Kasliwal, M. Lazzarini, W. Lu, R. Margutti, D.C. Martin, D.C. Masters, B. McKernan, Y. Naze, S.M. Nissanke, B. Parazin, D.A. Perley, E.S. Phinney, A.L. Piro, G. Raaijmakers, G. Rauw, A.C. Rodriguez, H. Sana, P. Senchyna, L.P. Singer, J.J. Spake, K.G. Stassun, D. Stern, H.I. Teplitz, D.R. Weisz, Y. Yao, ArXiv (n.d.).","apa":"Kulkarni, S. R., Harrison, F. A., Grefenstette, B. W., Earnshaw, H. P., Andreoni, I., Berg, D. A., … Yao, Y. (n.d.). Science with the ultraviolet explorer (UVEX). <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2111.15608\">https://doi.org/10.48550/arXiv.2111.15608</a>","chicago":"Kulkarni, S. R., Fiona A. Harrison, Brian W. Grefenstette, Hannah P. Earnshaw, Igor Andreoni, Danielle A. Berg, Joshua S. Bloom, et al. “Science with the Ultraviolet Explorer (UVEX).” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2111.15608\">https://doi.org/10.48550/arXiv.2111.15608</a>.","ista":"Kulkarni SR, Harrison FA, Grefenstette BW, Earnshaw HP, Andreoni I, Berg DA, Bloom JS, Cenko SB, Chornock R, Christiansen JL, Coughlin MW, Criswell AW, Darvish B, Das KK, De K, Dessart L, Dixon D, Dorsman B, Kareem El-Badry KE-B, Evans C, Ford KES, Fremling C, Gansicke BT, Gezari S, Götberg YLL, Green GM, Graham MJ, Heida M, Ho AYQ, Jaodand AD, Christopher M. Johns-Krull CMJ-K, Kasliwal MM, Lazzarini M, Lu W, Margutti R, Martin DC, Masters DC, McKernan B, Naze Y, Nissanke SM, Parazin B, Perley DA, Phinney ES, Piro AL, Raaijmakers G, Rauw G, Rodriguez AC, Sana H, Senchyna P, Singer LP, Spake JJ, Stassun KG, Stern D, Teplitz HI, Weisz DR, Yao Y. Science with the ultraviolet explorer (UVEX). arXiv, 2111.15608.","ieee":"S. R. Kulkarni <i>et al.</i>, “Science with the ultraviolet explorer (UVEX),” <i>arXiv</i>. ."},"article_number":"2111.15608","article_processing_charge":"No","related_material":{"link":[{"description":"News on ISTA website","relation":"press_release","url":"https://ista.ac.at/en/news/deep-mapping-the-night-sky-for-hot-stars/"}]},"_id":"14097","oa_version":"Preprint","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"quality_controlled":"1","_id":"14117","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"612-634","oa_version":"Published Version","publication_status":"published","volume":109,"month":"05","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1109/JPROC.2021.3058954"}],"status":"public","date_updated":"2023-09-11T11:43:35Z","scopus_import":"1","department":[{"_id":"FrLo"}],"type":"journal_article","language":[{"iso":"eng"}],"publication":"Proceedings of the IEEE","keyword":["Electrical and Electronic Engineering"],"publisher":"Institute of Electrical and Electronics Engineers","article_processing_charge":"No","citation":{"mla":"Scholkopf, Bernhard, et al. “Toward Causal Representation Learning.” <i>Proceedings of the IEEE</i>, vol. 109, no. 5, Institute of Electrical and Electronics Engineers, 2021, pp. 612–34, doi:<a href=\"https://doi.org/10.1109/jproc.2021.3058954\">10.1109/jproc.2021.3058954</a>.","ama":"Scholkopf B, Locatello F, Bauer S, et al. Toward causal representation learning. <i>Proceedings of the IEEE</i>. 2021;109(5):612-634. doi:<a href=\"https://doi.org/10.1109/jproc.2021.3058954\">10.1109/jproc.2021.3058954</a>","short":"B. Scholkopf, F. Locatello, S. Bauer, N.R. Ke, N. Kalchbrenner, A. Goyal, Y. Bengio, Proceedings of the IEEE 109 (2021) 612–634.","apa":"Scholkopf, B., Locatello, F., Bauer, S., Ke, N. R., Kalchbrenner, N., Goyal, A., &#38; Bengio, Y. (2021). Toward causal representation learning. <i>Proceedings of the IEEE</i>. Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/jproc.2021.3058954\">https://doi.org/10.1109/jproc.2021.3058954</a>","chicago":"Scholkopf, Bernhard, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, and Yoshua Bengio. “Toward Causal Representation Learning.” <i>Proceedings of the IEEE</i>. Institute of Electrical and Electronics Engineers, 2021. <a href=\"https://doi.org/10.1109/jproc.2021.3058954\">https://doi.org/10.1109/jproc.2021.3058954</a>.","ieee":"B. Scholkopf <i>et al.</i>, “Toward causal representation learning,” <i>Proceedings of the IEEE</i>, vol. 109, no. 5. Institute of Electrical and Electronics Engineers, pp. 612–634, 2021.","ista":"Scholkopf B, Locatello F, Bauer S, Ke NR, Kalchbrenner N, Goyal A, Bengio Y. 2021. Toward causal representation learning. Proceedings of the IEEE. 109(5), 612–634."},"extern":"1","external_id":{"arxiv":["2102.11107"]},"publication_identifier":{"eissn":["1558-2256"],"issn":["0018-9219"]},"date_created":"2023-08-21T12:19:30Z","year":"2021","intvolume":"       109","title":"Toward causal representation learning","doi":"10.1109/jproc.2021.3058954","issue":"5","article_type":"original","arxiv":1,"author":[{"last_name":"Scholkopf","first_name":"Bernhard","full_name":"Scholkopf, Bernhard"},{"last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","orcid":"0000-0002-4850-0683","full_name":"Locatello, Francesco","first_name":"Francesco"},{"last_name":"Bauer","full_name":"Bauer, Stefan","first_name":"Stefan"},{"first_name":"Nan Rosemary","full_name":"Ke, Nan Rosemary","last_name":"Ke"},{"full_name":"Kalchbrenner, Nal","first_name":"Nal","last_name":"Kalchbrenner"},{"last_name":"Goyal","first_name":"Anirudh","full_name":"Goyal, Anirudh"},{"full_name":"Bengio, Yoshua","first_name":"Yoshua","last_name":"Bengio"}],"oa":1,"date_published":"2021-05-01T00:00:00Z","day":"01","abstract":[{"text":"The two fields of machine learning and graphical causality arose and are developed separately. However, there is, now, cross-pollination and increasing interest in both fields to benefit from the advances of the other. In this article, we review fundamental concepts of causal inference and relate them to crucial open problems of machine learning, including transfer and generalization, thereby assaying how causality can contribute to modern machine learning research. This also applies in the opposite direction: we note that most work in causality starts from the premise that the causal variables are given. A central problem for AI and causality is, thus, causal representation learning, that is, the discovery of high-level causal variables from low-level observations. Finally, we delineate some implications of causality for machine learning and propose key research areas at the intersection of both communities.","lang":"eng"}]},{"volume":139,"month":"08","publication_status":"published","date_updated":"2023-09-11T10:16:55Z","status":"public","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2106.05142"}],"quality_controlled":"1","oa_version":"Preprint","_id":"14176","page":"11964-11974","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"publication":"Proceedings of 38th International Conference on Machine Learning","alternative_title":["PMLR"],"scopus_import":"1","type":"conference","department":[{"_id":"FrLo"}],"year":"2021","date_created":"2023-08-22T14:03:04Z","intvolume":"       139","external_id":{"arxiv":["2106.05142"]},"title":"Neighborhood contrastive learning applied to online patient monitoring","citation":{"ieee":"H. Yèche, G. Dresdner, F. Locatello, M. Hüser, and G. Rätsch, “Neighborhood contrastive learning applied to online patient monitoring,” in <i>Proceedings of 38th International Conference on Machine Learning</i>, Virtual, 2021, vol. 139, pp. 11964–11974.","ista":"Yèche H, Dresdner G, Locatello F, Hüser M, Rätsch G. 2021. Neighborhood contrastive learning applied to online patient monitoring. Proceedings of 38th International Conference on Machine Learning. International Conference on Machine Learning, PMLR, vol. 139, 11964–11974.","apa":"Yèche, H., Dresdner, G., Locatello, F., Hüser, M., &#38; Rätsch, G. (2021). Neighborhood contrastive learning applied to online patient monitoring. In <i>Proceedings of 38th International Conference on Machine Learning</i> (Vol. 139, pp. 11964–11974). Virtual: ML Research Press.","chicago":"Yèche, Hugo, Gideon Dresdner, Francesco Locatello, Matthias Hüser, and Gunnar Rätsch. “Neighborhood Contrastive Learning Applied to Online Patient Monitoring.” In <i>Proceedings of 38th International Conference on Machine Learning</i>, 139:11964–74. ML Research Press, 2021.","short":"H. Yèche, G. Dresdner, F. Locatello, M. Hüser, G. Rätsch, in:, Proceedings of 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 11964–11974.","ama":"Yèche H, Dresdner G, Locatello F, Hüser M, Rätsch G. Neighborhood contrastive learning applied to online patient monitoring. In: <i>Proceedings of 38th International Conference on Machine Learning</i>. Vol 139. ML Research Press; 2021:11964-11974.","mla":"Yèche, Hugo, et al. “Neighborhood Contrastive Learning Applied to Online Patient Monitoring.” <i>Proceedings of 38th International Conference on Machine Learning</i>, vol. 139, ML Research Press, 2021, pp. 11964–74."},"extern":"1","article_processing_charge":"No","publisher":"ML Research Press","date_published":"2021-08-01T00:00:00Z","author":[{"last_name":"Yèche","first_name":"Hugo","full_name":"Yèche, Hugo"},{"last_name":"Dresdner","first_name":"Gideon","full_name":"Dresdner, Gideon"},{"orcid":"0000-0002-4850-0683","full_name":"Locatello, Francesco","first_name":"Francesco","last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4"},{"full_name":"Hüser, Matthias","first_name":"Matthias","last_name":"Hüser"},{"last_name":"Rätsch","first_name":"Gunnar","full_name":"Rätsch, Gunnar"}],"arxiv":1,"oa":1,"abstract":[{"lang":"eng","text":"Intensive care units (ICU) are increasingly looking towards machine learning for methods to provide online monitoring of critically ill patients. In machine learning, online monitoring is often formulated as a supervised learning problem. Recently, contrastive learning approaches have demonstrated promising improvements over competitive supervised benchmarks. These methods rely on well-understood data augmentation techniques developed for image data which do not apply to online monitoring. In this work, we overcome this limitation by\r\nsupplementing time-series data augmentation techniques with a novel contrastive\r\nlearning objective which we call neighborhood contrastive learning (NCL). Our objective explicitly groups together contiguous time segments from each patient while maintaining state-specific information. Our experiments demonstrate a marked improvement over existing work applying contrastive methods to medical time-series."}],"conference":{"location":"Virtual","start_date":"2021-07-18","end_date":"2021-07-24","name":"International Conference on Machine Learning"},"day":"01"},{"volume":139,"month":"08","publication_status":"published","status":"public","date_updated":"2023-09-11T10:18:48Z","main_file_link":[{"url":"https://arxiv.org/abs/2006.07886","open_access":"1"}],"quality_controlled":"1","_id":"14177","oa_version":"Published Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"10401-10412","language":[{"iso":"eng"}],"publication":"Proceedings of the 38th International Conference on Machine Learning","alternative_title":["PMLR"],"scopus_import":"1","type":"conference","department":[{"_id":"FrLo"}],"intvolume":"       139","year":"2021","date_created":"2023-08-22T14:03:47Z","external_id":{"arxiv":["2006.07886"]},"title":"On disentangled representations learned from correlated data","citation":{"short":"F. Träuble, E. Creager, N. Kilbertus, F. Locatello, A. Dittadi, A. Goyal, B. Schölkopf, S. Bauer, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 10401–10412.","ama":"Träuble F, Creager E, Kilbertus N, et al. On disentangled representations learned from correlated data. In: <i>Proceedings of the 38th International Conference on Machine Learning</i>. Vol 139. ML Research Press; 2021:10401-10412.","mla":"Träuble, Frederik, et al. “On Disentangled Representations Learned from Correlated Data.” <i>Proceedings of the 38th International Conference on Machine Learning</i>, vol. 139, ML Research Press, 2021, pp. 10401–12.","ieee":"F. Träuble <i>et al.</i>, “On disentangled representations learned from correlated data,” in <i>Proceedings of the 38th International Conference on Machine Learning</i>, Virtual, 2021, vol. 139, pp. 10401–10412.","ista":"Träuble F, Creager E, Kilbertus N, Locatello F, Dittadi A, Goyal A, Schölkopf B, Bauer S. 2021. On disentangled representations learned from correlated data. Proceedings of the 38th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 139, 10401–10412.","chicago":"Träuble, Frederik, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, and Stefan Bauer. “On Disentangled Representations Learned from Correlated Data.” In <i>Proceedings of the 38th International Conference on Machine Learning</i>, 139:10401–12. ML Research Press, 2021.","apa":"Träuble, F., Creager, E., Kilbertus, N., Locatello, F., Dittadi, A., Goyal, A., … Bauer, S. (2021). On disentangled representations learned from correlated data. In <i>Proceedings of the 38th International Conference on Machine Learning</i> (Vol. 139, pp. 10401–10412). Virtual: ML Research Press."},"extern":"1","publisher":"ML Research Press","article_processing_charge":"No","date_published":"2021-08-01T00:00:00Z","oa":1,"author":[{"full_name":"Träuble, Frederik","first_name":"Frederik","last_name":"Träuble"},{"last_name":"Creager","first_name":"Elliot","full_name":"Creager, Elliot"},{"last_name":"Kilbertus","full_name":"Kilbertus, Niki","first_name":"Niki"},{"orcid":"0000-0002-4850-0683","full_name":"Locatello, Francesco","first_name":"Francesco","last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4"},{"first_name":"Andrea","full_name":"Dittadi, Andrea","last_name":"Dittadi"},{"full_name":"Goyal, Anirudh","first_name":"Anirudh","last_name":"Goyal"},{"full_name":"Schölkopf, Bernhard","first_name":"Bernhard","last_name":"Schölkopf"},{"last_name":"Bauer","first_name":"Stefan","full_name":"Bauer, Stefan"}],"arxiv":1,"conference":{"location":"Virtual","start_date":"2021-07-18","name":"ICML: International Conference on Machine Learning","end_date":"2021-07-24"},"abstract":[{"lang":"eng","text":"The focus of disentanglement approaches has been on identifying independent factors of variation in data. However, the causal variables underlying real-world observations are often not statistically independent. In this work, we bridge the gap to real-world scenarios by analyzing the behavior of the most prominent disentanglement approaches on correlated data in a large-scale empirical study (including 4260 models). We show and quantify that systematically induced correlations in the dataset are being learned and reflected in the latent representations, which has implications for downstream applications of disentanglement such as fairness. We also demonstrate how to resolve these latent correlations, either using weak supervision during\r\ntraining or by post-hoc correcting a pre-trained model with a small number of labels."}],"day":"01"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"14178","oa_version":"Preprint","article_processing_charge":"No","citation":{"apa":"Dittadi, A., Träuble, F., Locatello, F., Wüthrich, M., Agrawal, V., Winther, O., … Schölkopf, B. (2021). On the transfer of disentangled representations in realistic settings. In <i>The Ninth International Conference on Learning Representations</i>. Virtual.","chicago":"Dittadi, Andrea, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, and Bernhard Schölkopf. “On the Transfer of Disentangled Representations in Realistic Settings.” In <i>The Ninth International Conference on Learning Representations</i>, 2021.","ieee":"A. Dittadi <i>et al.</i>, “On the transfer of disentangled representations in realistic settings,” in <i>The Ninth International Conference on Learning Representations</i>, Virtual, 2021.","ista":"Dittadi A, Träuble F, Locatello F, Wüthrich M, Agrawal V, Winther O, Bauer S, Schölkopf B. 2021. On the transfer of disentangled representations in realistic settings. The Ninth International Conference on Learning Representations. ICLR: International Conference on Learning Representations.","ama":"Dittadi A, Träuble F, Locatello F, et al. On the transfer of disentangled representations in realistic settings. In: <i>The Ninth International Conference on Learning Representations</i>. ; 2021.","mla":"Dittadi, Andrea, et al. “On the Transfer of Disentangled Representations in Realistic Settings.” <i>The Ninth International Conference on Learning Representations</i>, 2021.","short":"A. Dittadi, F. Träuble, F. Locatello, M. Wüthrich, V. Agrawal, O. Winther, S. Bauer, B. Schölkopf, in:, The Ninth International Conference on Learning Representations, 2021."},"extern":"1","quality_controlled":"1","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2010.14407"}],"date_updated":"2023-09-11T10:55:30Z","status":"public","title":"On the transfer of disentangled representations in realistic settings","external_id":{"arxiv":["2010.14407"]},"month":"05","publication_status":"published","date_created":"2023-08-22T14:04:16Z","year":"2021","department":[{"_id":"FrLo"}],"type":"conference","day":"04","publication":"The Ninth International Conference on Learning Representations","abstract":[{"lang":"eng","text":"Learning meaningful representations that disentangle the underlying structure of the data generating process is considered to be of key importance in machine learning. While disentangled representations were found to be useful for diverse tasks such as abstract reasoning and fair classification, their scalability and real-world impact remain questionable. We introduce a new high-resolution dataset with 1M simulated images and over 1,800 annotated real-world images of the same setup. In contrast to previous work, this new dataset exhibits correlations, a complex underlying structure, and allows to evaluate transfer to unseen simulated and real-world settings where the encoder i) remains in distribution or ii) is out of distribution. We propose new architectures in order to scale disentangled representation learning to realistic high-resolution settings and conduct a large-scale empirical study of disentangled representations on this dataset. We observe that disentanglement is a good predictor for out-of-distribution (OOD) task performance."}],"conference":{"start_date":"2021-05-03","location":"Virtual","end_date":"2021-05-07","name":"ICLR: International Conference on Learning Representations"},"language":[{"iso":"eng"}],"arxiv":1,"author":[{"full_name":"Dittadi, Andrea","first_name":"Andrea","last_name":"Dittadi"},{"full_name":"Träuble, Frederik","first_name":"Frederik","last_name":"Träuble"},{"full_name":"Locatello, Francesco","first_name":"Francesco","orcid":"0000-0002-4850-0683","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","last_name":"Locatello"},{"first_name":"Manuel","full_name":"Wüthrich, Manuel","last_name":"Wüthrich"},{"last_name":"Agrawal","full_name":"Agrawal, Vaibhav","first_name":"Vaibhav"},{"full_name":"Winther, Ole","first_name":"Ole","last_name":"Winther"},{"last_name":"Bauer","first_name":"Stefan","full_name":"Bauer, Stefan"},{"full_name":"Schölkopf, Bernhard","first_name":"Bernhard","last_name":"Schölkopf"}],"oa":1,"date_published":"2021-05-04T00:00:00Z"},{"type":"conference","department":[{"_id":"FrLo"}],"language":[{"iso":"eng"}],"publication":"Advances in Neural Information Processing Systems","quality_controlled":"1","page":"16451-16467","_id":"14179","oa_version":"Preprint","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"06","publication_status":"published","volume":34,"status":"public","date_updated":"2023-09-11T10:33:19Z","main_file_link":[{"url":"https://arxiv.org/abs/2106.04619","open_access":"1"}],"date_published":"2021-06-08T00:00:00Z","oa":1,"arxiv":1,"author":[{"last_name":"Kügelgen","first_name":"Julius von","full_name":"Kügelgen, Julius von"},{"last_name":"Sharma","full_name":"Sharma, Yash","first_name":"Yash"},{"last_name":"Gresele","first_name":"Luigi","full_name":"Gresele, Luigi"},{"last_name":"Brendel","first_name":"Wieland","full_name":"Brendel, Wieland"},{"first_name":"Bernhard","full_name":"Schölkopf, Bernhard","last_name":"Schölkopf"},{"last_name":"Besserve","full_name":"Besserve, Michel","first_name":"Michel"},{"orcid":"0000-0002-4850-0683","first_name":"Francesco","full_name":"Locatello, Francesco","last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4"}],"conference":{"end_date":"2021-12-10","name":"NeurIPS: Neural Information Processing Systems","location":"Virtual","start_date":"2021-12-07"},"abstract":[{"lang":"eng","text":"Self-supervised representation learning has shown remarkable success in a number of domains. A common practice is to perform data augmentation via hand-crafted transformations intended to leave the semantics of the data invariant. We seek to understand the empirical success of this approach from a theoretical perspective. We formulate the augmentation process as a latent variable model by postulating a partition of the latent representation into a content component, which is assumed invariant to augmentation, and a style component, which is allowed to change. Unlike prior work on disentanglement and independent component analysis, we allow for both nontrivial statistical and causal dependencies in the latent space. We study the identifiability of the latent representation based on pairs of views of the observations and prove sufficient conditions that allow us to identify the invariant content partition up to an invertible mapping in both generative and discriminative settings. We find numerical simulations with dependent latent variables are consistent with our theory. Lastly, we introduce Causal3DIdent, a dataset of high-dimensional, visually complex images with rich causal dependencies, which we use to study the effect of data augmentations performed in practice."}],"day":"08","extern":"1","citation":{"apa":"Kügelgen, J. von, Sharma, Y., Gresele, L., Brendel, W., Schölkopf, B., Besserve, M., &#38; Locatello, F. (2021). Self-supervised learning with data augmentations provably isolates content from style. In <i>Advances in Neural Information Processing Systems</i> (Vol. 34, pp. 16451–16467). Virtual.","chicago":"Kügelgen, Julius von, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, and Francesco Locatello. “Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.” In <i>Advances in Neural Information Processing Systems</i>, 34:16451–67, 2021.","ista":"Kügelgen J von, Sharma Y, Gresele L, Brendel W, Schölkopf B, Besserve M, Locatello F. 2021. Self-supervised learning with data augmentations provably isolates content from style. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 16451–16467.","ieee":"J. von Kügelgen <i>et al.</i>, “Self-supervised learning with data augmentations provably isolates content from style,” in <i>Advances in Neural Information Processing Systems</i>, Virtual, 2021, vol. 34, pp. 16451–16467.","ama":"Kügelgen J von, Sharma Y, Gresele L, et al. Self-supervised learning with data augmentations provably isolates content from style. In: <i>Advances in Neural Information Processing Systems</i>. Vol 34. ; 2021:16451-16467.","mla":"Kügelgen, Julius von, et al. “Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.” <i>Advances in Neural Information Processing Systems</i>, vol. 34, 2021, pp. 16451–67.","short":"J. von Kügelgen, Y. Sharma, L. Gresele, W. Brendel, B. Schölkopf, M. Besserve, F. Locatello, in:, Advances in Neural Information Processing Systems, 2021, pp. 16451–16467."},"article_processing_charge":"No","intvolume":"        34","date_created":"2023-08-22T14:04:36Z","year":"2021","publication_identifier":{"isbn":["9781713845393"]},"external_id":{"arxiv":["2106.04619"]},"title":"Self-supervised learning with data augmentations provably isolates content from style"},{"quality_controlled":"1","_id":"14180","page":"10985-10998","oa_version":"Preprint","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","volume":34,"month":"10","publication_status":"published","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2110.06399"}],"status":"public","date_updated":"2024-10-14T12:27:25Z","department":[{"_id":"FrLo"}],"type":"conference","language":[{"iso":"eng"}],"publication":"Advances in Neural Information Processing Systems","article_processing_charge":"No","extern":"1","citation":{"ieee":"N. Rahaman <i>et al.</i>, “Dynamic inference with neural interpreters,” in <i>Advances in Neural Information Processing Systems</i>, Virtual, 2021, vol. 34, pp. 10985–10998.","ista":"Rahaman N, Gondal MW, Joshi S, Gehler P, Bengio Y, Locatello F, Schölkopf B. 2021. Dynamic inference with neural interpreters. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 10985–10998.","chicago":"Rahaman, Nasim, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, and Bernhard Schölkopf. “Dynamic Inference with Neural Interpreters.” In <i>Advances in Neural Information Processing Systems</i>, 34:10985–98, 2021.","apa":"Rahaman, N., Gondal, M. W., Joshi, S., Gehler, P., Bengio, Y., Locatello, F., &#38; Schölkopf, B. (2021). Dynamic inference with neural interpreters. In <i>Advances in Neural Information Processing Systems</i> (Vol. 34, pp. 10985–10998). Virtual.","short":"N. Rahaman, M.W. Gondal, S. Joshi, P. Gehler, Y. Bengio, F. Locatello, B. Schölkopf, in:, Advances in Neural Information Processing Systems, 2021, pp. 10985–10998.","mla":"Rahaman, Nasim, et al. “Dynamic Inference with Neural Interpreters.” <i>Advances in Neural Information Processing Systems</i>, vol. 34, 2021, pp. 10985–98.","ama":"Rahaman N, Gondal MW, Joshi S, et al. Dynamic inference with neural interpreters. In: <i>Advances in Neural Information Processing Systems</i>. Vol 34. ; 2021:10985-10998."},"publication_identifier":{"isbn":["9781713845393"]},"external_id":{"arxiv":["2110.06399"]},"intvolume":"        34","date_created":"2023-08-22T14:04:55Z","year":"2021","title":"Dynamic inference with neural interpreters","oa":1,"author":[{"last_name":"Rahaman","first_name":"Nasim","full_name":"Rahaman, Nasim"},{"last_name":"Gondal","first_name":"Muhammad Waleed","full_name":"Gondal, Muhammad Waleed"},{"first_name":"Shruti","full_name":"Joshi, Shruti","last_name":"Joshi"},{"first_name":"Peter","full_name":"Gehler, Peter","last_name":"Gehler"},{"first_name":"Yoshua","full_name":"Bengio, Yoshua","last_name":"Bengio"},{"last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","orcid":"0000-0002-4850-0683","full_name":"Locatello, Francesco","first_name":"Francesco"},{"full_name":"Schölkopf, Bernhard","first_name":"Bernhard","last_name":"Schölkopf"}],"arxiv":1,"date_published":"2021-10-12T00:00:00Z","day":"12","abstract":[{"lang":"eng","text":"Modern neural network architectures can leverage large amounts of data to generalize well within the training distribution. However, they are less capable of systematic generalization to data drawn from unseen but related distributions, a feat that is hypothesized to require compositional reasoning and reuse of knowledge. In this work, we present Neural Interpreters, an architecture that factorizes inference in a self-attention network as a system of modules, which we call \\emph{functions}. Inputs to the model are routed through a sequence of functions in a way that is end-to-end learned. The proposed architecture can flexibly compose computation along width and depth, and lends itself well to capacity extension after training. To demonstrate the versatility of Neural Interpreters, we evaluate it in two distinct settings: image classification and visual abstract reasoning on Raven Progressive Matrices. In the former, we show that Neural Interpreters perform on par with the vision transformer using fewer parameters, while being transferrable to a new task in a sample efficient manner. In the latter, we find that Neural Interpreters are competitive with respect to the state-of-the-art in terms of systematic generalization. "}],"conference":{"name":"NeurIPS: Neural Information Processing Systems","end_date":"2021-12-10","location":"Virtual","start_date":"2021-12-07"}},{"citation":{"mla":"Dresdner, Gideon, et al. “Boosting Variational Inference with Locally Adaptive Step-Sizes.” <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence</i>, International Joint Conferences on Artificial Intelligence, 2021, pp. 2337–43, doi:<a href=\"https://doi.org/10.24963/ijcai.2021/322\">10.24963/ijcai.2021/322</a>.","ama":"Dresdner G, Shekhar S, Pedregosa F, Locatello F, Rätsch G. Boosting variational inference with locally adaptive step-sizes. In: <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence</i>. International Joint Conferences on Artificial Intelligence; 2021:2337-2343. doi:<a href=\"https://doi.org/10.24963/ijcai.2021/322\">10.24963/ijcai.2021/322</a>","short":"G. Dresdner, S. Shekhar, F. Pedregosa, F. Locatello, G. Rätsch, in:, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2021, pp. 2337–2343.","chicago":"Dresdner, Gideon, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, and Gunnar Rätsch. “Boosting Variational Inference with Locally Adaptive Step-Sizes.” In <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence</i>, 2337–43. International Joint Conferences on Artificial Intelligence, 2021. <a href=\"https://doi.org/10.24963/ijcai.2021/322\">https://doi.org/10.24963/ijcai.2021/322</a>.","apa":"Dresdner, G., Shekhar, S., Pedregosa, F., Locatello, F., &#38; Rätsch, G. (2021). Boosting variational inference with locally adaptive step-sizes. In <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence</i> (pp. 2337–2343). Montreal, Canada: International Joint Conferences on Artificial Intelligence. <a href=\"https://doi.org/10.24963/ijcai.2021/322\">https://doi.org/10.24963/ijcai.2021/322</a>","ieee":"G. Dresdner, S. Shekhar, F. Pedregosa, F. Locatello, and G. Rätsch, “Boosting variational inference with locally adaptive step-sizes,” in <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence</i>, Montreal, Canada, 2021, pp. 2337–2343.","ista":"Dresdner G, Shekhar S, Pedregosa F, Locatello F, Rätsch G. 2021. Boosting variational inference with locally adaptive step-sizes. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. IJCAI: International Joint Conference on Artificial Intelligence, 2337–2343."},"extern":"1","publisher":"International Joint Conferences on Artificial Intelligence","article_processing_charge":"No","date_created":"2023-08-22T14:05:14Z","year":"2021","external_id":{"arxiv":["2105.09240"]},"publication_identifier":{"eisbn":["9780999241196"]},"title":"Boosting variational inference with locally adaptive step-sizes","doi":"10.24963/ijcai.2021/322","date_published":"2021-05-19T00:00:00Z","author":[{"last_name":"Dresdner","first_name":"Gideon","full_name":"Dresdner, Gideon"},{"full_name":"Shekhar, Saurav","first_name":"Saurav","last_name":"Shekhar"},{"full_name":"Pedregosa, Fabian","first_name":"Fabian","last_name":"Pedregosa"},{"last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","orcid":"0000-0002-4850-0683","full_name":"Locatello, Francesco","first_name":"Francesco"},{"last_name":"Rätsch","first_name":"Gunnar","full_name":"Rätsch, Gunnar"}],"arxiv":1,"oa":1,"abstract":[{"text":"Variational Inference makes a trade-off between the capacity of the variational family and the tractability of finding an approximate posterior distribution. Instead, Boosting Variational Inference allows practitioners to obtain increasingly good posterior approximations by spending more compute. The main obstacle to widespread adoption of Boosting Variational Inference is the amount of resources necessary to improve over a strong Variational Inference baseline. In our work, we trace this limitation back to the global curvature of the KL-divergence. We characterize how the global curvature impacts time and memory consumption, address the problem with the notion of local curvature, and provide a novel approximate backtracking algorithm for estimating local curvature. We give new theoretical convergence rates for our algorithms and provide experimental validation on synthetic and real-world datasets.","lang":"eng"}],"conference":{"end_date":"2021-08-27","name":"IJCAI: International Joint Conference on Artificial Intelligence","location":"Montreal, Canada","start_date":"2021-08-19"},"day":"19","quality_controlled":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"14181","page":"2337-2343","oa_version":"Published Version","publication_status":"published","month":"05","date_updated":"2023-09-11T11:14:30Z","status":"public","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2105.09240"}],"type":"conference","department":[{"_id":"FrLo"}],"language":[{"iso":"eng"}],"publication":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"},{"publication":"35th Conference on Neural Information Processing Systems","language":[{"iso":"eng"}],"type":"conference","department":[{"_id":"FrLo"}],"date_updated":"2023-09-11T11:31:59Z","status":"public","main_file_link":[{"url":"https://arxiv.org/abs/2107.01057","open_access":"1"}],"month":"07","publication_status":"published","volume":34,"page":"116-128","_id":"14182","oa_version":"Preprint","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","abstract":[{"lang":"eng","text":"When machine learning systems meet real world applications, accuracy is only\r\none of several requirements. In this paper, we assay a complementary\r\nperspective originating from the increasing availability of pre-trained and\r\nregularly improving state-of-the-art models. While new improved models develop\r\nat a fast pace, downstream tasks vary more slowly or stay constant. Assume that\r\nwe have a large unlabelled data set for which we want to maintain accurate\r\npredictions. Whenever a new and presumably better ML models becomes available,\r\nwe encounter two problems: (i) given a limited budget, which data points should\r\nbe re-evaluated using the new model?; and (ii) if the new predictions differ\r\nfrom the current ones, should we update? Problem (i) is about compute cost,\r\nwhich matters for very large data sets and models. Problem (ii) is about\r\nmaintaining consistency of the predictions, which can be highly relevant for\r\ndownstream applications; our demand is to avoid negative flips, i.e., changing\r\ncorrect to incorrect predictions. In this paper, we formalize the Prediction\r\nUpdate Problem and present an efficient probabilistic approach as answer to the\r\nabove questions. In extensive experiments on standard classification benchmark\r\ndata sets, we show that our method outperforms alternative strategies along key\r\nmetrics for backward-compatible prediction updates."}],"conference":{"start_date":"2021-12-07","location":"Virtual","end_date":"2021-12-10","name":"NeurIPS: Neural Information Processing Systems"},"day":"02","date_published":"2021-07-02T00:00:00Z","author":[{"first_name":"Frederik","full_name":"Träuble, Frederik","last_name":"Träuble"},{"last_name":"Kügelgen","full_name":"Kügelgen, Julius von","first_name":"Julius von"},{"last_name":"Kleindessner","first_name":"Matthäus","full_name":"Kleindessner, Matthäus"},{"id":"26cfd52f-2483-11ee-8040-88983bcc06d4","last_name":"Locatello","first_name":"Francesco","full_name":"Locatello, Francesco","orcid":"0000-0002-4850-0683"},{"last_name":"Schölkopf","first_name":"Bernhard","full_name":"Schölkopf, Bernhard"},{"full_name":"Gehler, Peter","first_name":"Peter","last_name":"Gehler"}],"arxiv":1,"oa":1,"title":"Backward-compatible prediction updates: A probabilistic approach","date_created":"2023-08-22T14:05:41Z","year":"2021","intvolume":"        34","external_id":{"arxiv":["2107.01057"]},"publication_identifier":{"isbn":["9781713845393"]},"citation":{"apa":"Träuble, F., Kügelgen, J. von, Kleindessner, M., Locatello, F., Schölkopf, B., &#38; Gehler, P. (2021). Backward-compatible prediction updates: A probabilistic approach. In <i>35th Conference on Neural Information Processing Systems</i> (Vol. 34, pp. 116–128). Virtual.","chicago":"Träuble, Frederik, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, and Peter Gehler. “Backward-Compatible Prediction Updates: A Probabilistic Approach.” In <i>35th Conference on Neural Information Processing Systems</i>, 34:116–28, 2021.","ieee":"F. Träuble, J. von Kügelgen, M. Kleindessner, F. Locatello, B. Schölkopf, and P. Gehler, “Backward-compatible prediction updates: A probabilistic approach,” in <i>35th Conference on Neural Information Processing Systems</i>, Virtual, 2021, vol. 34, pp. 116–128.","ista":"Träuble F, Kügelgen J von, Kleindessner M, Locatello F, Schölkopf B, Gehler P. 2021. Backward-compatible prediction updates: A probabilistic approach. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 116–128.","mla":"Träuble, Frederik, et al. “Backward-Compatible Prediction Updates: A Probabilistic Approach.” <i>35th Conference on Neural Information Processing Systems</i>, vol. 34, 2021, pp. 116–28.","ama":"Träuble F, Kügelgen J von, Kleindessner M, Locatello F, Schölkopf B, Gehler P. Backward-compatible prediction updates: A probabilistic approach. In: <i>35th Conference on Neural Information Processing Systems</i>. Vol 34. ; 2021:116-128.","short":"F. Träuble, J. von Kügelgen, M. Kleindessner, F. Locatello, B. Schölkopf, P. Gehler, in:, 35th Conference on Neural Information Processing Systems, 2021, pp. 116–128."},"extern":"1","article_processing_charge":"No"},{"extern":"1","citation":{"chicago":"Weissenborn, Dirk, Jakob Uszkoreit, Thomas Unterthiner, Aravindh Mahendran, Francesco Locatello, Thomas Kipf, Georg Heigold, and Alexey Dosovitskiy. “Object-Centric Learning with Slot Attention,” 2021.","apa":"Weissenborn, D., Uszkoreit, J., Unterthiner, T., Mahendran, A., Locatello, F., Kipf, T., … Dosovitskiy, A. (2021). Object-centric learning with slot attention.","ista":"Weissenborn D, Uszkoreit J, Unterthiner T, Mahendran A, Locatello F, Kipf T, Heigold G, Dosovitskiy A. 2021. Object-centric learning with slot attention.","ieee":"D. Weissenborn <i>et al.</i>, “Object-centric learning with slot attention.” 2021.","mla":"Weissenborn, Dirk, et al. <i>Object-Centric Learning with Slot Attention</i>. 2021.","ama":"Weissenborn D, Uszkoreit J, Unterthiner T, et al. Object-centric learning with slot attention. 2021.","short":"D. Weissenborn, J. Uszkoreit, T. Unterthiner, A. Mahendran, F. Locatello, T. Kipf, G. Heigold, A. Dosovitskiy, (2021)."},"ipn":"US20210383199A1","article_processing_charge":"No","application_date":"2020-07-13","oa_version":"Published Version","_id":"14185","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","year":"2021","date_created":"2023-08-22T14:07:06Z","month":"12","external_id":{"arxiv":["2006.15055"]},"title":"Object-centric learning with slot attention","status":"public","date_updated":"2025-01-31T11:35:46Z","main_file_link":[{"open_access":"1","url":"https://patents.google.com/patent/US20210383199A1/en"}],"publication_date":"2021-12-09","type":"patent","OA_place":"repository","application_number":"16 / 927,018 ","department":[{"_id":"FrLo"}],"date_published":"2021-12-09T00:00:00Z","oa":1,"applicant":["Google LLC"],"arxiv":1,"author":[{"last_name":"Weissenborn","full_name":"Weissenborn, Dirk","first_name":"Dirk"},{"first_name":"Jakob","full_name":"Uszkoreit, Jakob","last_name":"Uszkoreit"},{"last_name":"Unterthiner","first_name":"Thomas","full_name":"Unterthiner, Thomas"},{"last_name":"Mahendran","full_name":"Mahendran, Aravindh","first_name":"Aravindh"},{"last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","orcid":"0000-0002-4850-0683","first_name":"Francesco","full_name":"Locatello, Francesco"},{"last_name":"Kipf","full_name":"Kipf, Thomas","first_name":"Thomas"},{"full_name":"Heigold, Georg","first_name":"Georg","last_name":"Heigold"},{"first_name":"Alexey","full_name":"Dosovitskiy, Alexey","last_name":"Dosovitskiy"}],"abstract":[{"lang":"eng","text":"A method involves receiving a perceptual representation including a plurality of feature vectors, and initializing a plurality of slot vectors represented by a neural network memory unit. Each respective slot vector is configured to represent a corresponding entity in the perceptual representation. The method also involves determining an attention matrix based on a product of the plurality of feature vectors transformed by a key function and the plurality of slot vectors transformed by a query function. Each respective value of a plurality of values along each respective dimension of the attention matrix is normalized with respect to the plurality of values. The method additionally involves determining an update matrix based on the plurality of feature vectors transformed by a value function and the attention matrix, and updating the plurality of slot vectors based on the update matrix by way of the neural network memory unit."}],"ipc":"G06N 3/063 ; G06N 3/08 ; G06F 17/16","day":"09"},{"publication_status":"submitted","month":"11","external_id":{"arxiv":["2111.13693"]},"date_created":"2023-08-22T14:23:35Z","year":"2021","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2111.13693","open_access":"1"}],"title":"Enforcing and discovering structure in machine learning","date_updated":"2024-10-14T12:27:49Z","status":"public","article_processing_charge":"No","extern":"1","citation":{"mla":"Locatello, Francesco. “Enforcing and Discovering Structure in Machine Learning.” <i>ArXiv</i>, 2111.13693, doi:<a href=\"https://doi.org/10.48550/arXiv.2111.13693\">10.48550/arXiv.2111.13693</a>.","ama":"Locatello F. Enforcing and discovering structure in machine learning. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2111.13693\">10.48550/arXiv.2111.13693</a>","short":"F. Locatello, ArXiv (n.d.).","chicago":"Locatello, Francesco. “Enforcing and Discovering Structure in Machine Learning.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2111.13693\">https://doi.org/10.48550/arXiv.2111.13693</a>.","apa":"Locatello, F. (n.d.). Enforcing and discovering structure in machine learning. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2111.13693\">https://doi.org/10.48550/arXiv.2111.13693</a>","ieee":"F. Locatello, “Enforcing and discovering structure in machine learning,” <i>arXiv</i>. .","ista":"Locatello F. Enforcing and discovering structure in machine learning. arXiv, 2111.13693."},"article_number":"2111.13693","_id":"14221","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"Preprint","oa":1,"language":[{"iso":"eng"}],"arxiv":1,"author":[{"id":"26cfd52f-2483-11ee-8040-88983bcc06d4","last_name":"Locatello","full_name":"Locatello, Francesco","first_name":"Francesco","orcid":"0000-0002-4850-0683"}],"date_published":"2021-11-26T00:00:00Z","day":"26","publication":"arXiv","abstract":[{"lang":"eng","text":"The world is structured in countless ways. It may be prudent to enforce corresponding structural properties to a learning algorithm's solution, such as incorporating prior beliefs, natural constraints, or causal structures. Doing so may translate to faster, more accurate, and more flexible models, which may directly relate to real-world impact. In this dissertation, we consider two different research areas that concern structuring a learning algorithm's solution: when the structure is known and when it has to be discovered."}],"doi":"10.48550/arXiv.2111.13693","department":[{"_id":"FrLo"}],"type":"preprint"}]