[{"citation":{"chicago":"Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, and Francesco Locatello. “Shortcuts for Causal Discovery of Nonlinear Models by Score Matching.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2310.14246\">https://doi.org/10.48550/arXiv.2310.14246</a>.","ieee":"F. Montagna, N. Noceti, L. Rosasco, and F. Locatello, “Shortcuts for causal discovery of nonlinear models by score matching,” <i>arXiv</i>. .","mla":"Montagna, Francesco, et al. “Shortcuts for Causal Discovery of Nonlinear Models by Score Matching.” <i>ArXiv</i>, 2310.14246, doi:<a href=\"https://doi.org/10.48550/arXiv.2310.14246\">10.48550/arXiv.2310.14246</a>.","short":"F. Montagna, N. Noceti, L. Rosasco, F. Locatello, ArXiv (n.d.).","ama":"Montagna F, Noceti N, Rosasco L, Locatello F. Shortcuts for causal discovery of nonlinear models by score matching. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2310.14246\">10.48550/arXiv.2310.14246</a>","ista":"Montagna F, Noceti N, Rosasco L, Locatello F. Shortcuts for causal discovery of nonlinear models by score matching. arXiv, 2310.14246.","apa":"Montagna, F., Noceti, N., Rosasco, L., &#38; Locatello, F. (n.d.). Shortcuts for causal discovery of nonlinear models by score matching. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2310.14246\">https://doi.org/10.48550/arXiv.2310.14246</a>"},"date_created":"2024-02-08T15:31:46Z","arxiv":1,"oa_version":"Preprint","author":[{"full_name":"Montagna, Francesco","last_name":"Montagna","first_name":"Francesco"},{"last_name":"Noceti","first_name":"Nicoletta","full_name":"Noceti, Nicoletta"},{"full_name":"Rosasco, Lorenzo","first_name":"Lorenzo","last_name":"Rosasco"},{"last_name":"Locatello","first_name":"Francesco","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","orcid":"0000-0002-4850-0683","full_name":"Locatello, Francesco"}],"month":"10","article_number":"2310.14246","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"14961","language":[{"iso":"eng"}],"abstract":[{"text":"The use of simulated data in the field of causal discovery is ubiquitous due to the scarcity of annotated real data. Recently, Reisach et al., 2021 highlighted the emergence of patterns in simulated linear data, which displays increasing marginal variance in the casual direction. As an ablation in their experiments, Montagna et al., 2023 found that similar patterns may emerge in\r\nnonlinear models for the variance of the score vector $\\nabla \\log p_{\\mathbf{X}}$, and introduced the ScoreSort algorithm. In this work, we formally define and characterize this score-sortability pattern of nonlinear additive noise models. We find that it defines a class of identifiable (bivariate) causal models overlapping with nonlinear additive noise models. We\r\ntheoretically demonstrate the advantages of ScoreSort in terms of statistical efficiency compared to prior state-of-the-art score matching-based methods and empirically show the score-sortability of the most common synthetic benchmarks in the literature. Our findings remark (1) the lack of diversity in the data as an important limitation in the evaluation of nonlinear causal discovery approaches, (2) the importance of thoroughly testing different settings within a problem class, and (3) the importance of analyzing statistical properties in\r\ncausal discovery, where research is often limited to defining identifiability conditions of the model. ","lang":"eng"}],"publication":"arXiv","date_published":"2023-10-22T00:00:00Z","status":"public","day":"22","publication_status":"submitted","date_updated":"2024-02-12T10:03:33Z","doi":"10.48550/arXiv.2310.14246","department":[{"_id":"FrLo"}],"title":"Shortcuts for causal discovery of nonlinear models by score matching","external_id":{"arxiv":["2310.14246"]},"type":"preprint","article_processing_charge":"No","oa":1,"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2310.14246","open_access":"1"}],"year":"2023"},{"arxiv":1,"date_created":"2024-02-08T15:33:39Z","citation":{"ama":"Fan K, Bai Z, Xiao T, et al. Unsupervised open-vocabulary object localization in videos. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2309.09858\">10.48550/arXiv.2309.09858</a>","apa":"Fan, K., Bai, Z., Xiao, T., Zietlow, D., Horn, M., Zhao, Z., … He, T. (n.d.). Unsupervised open-vocabulary object localization in videos. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2309.09858\">https://doi.org/10.48550/arXiv.2309.09858</a>","ista":"Fan K, Bai Z, Xiao T, Zietlow D, Horn M, Zhao Z, Carl-Johann Simon-Gabriel C-JS-G, Shou MZ, Locatello F, Schiele B, Brox T, Zhang Z, Fu Y, He T. Unsupervised open-vocabulary object localization in videos. arXiv, 2309.09858.","ieee":"K. Fan <i>et al.</i>, “Unsupervised open-vocabulary object localization in videos,” <i>arXiv</i>. .","chicago":"Fan, Ke, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel Carl-Johann Simon-Gabriel, et al. “Unsupervised Open-Vocabulary Object Localization in Videos.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2309.09858\">https://doi.org/10.48550/arXiv.2309.09858</a>.","mla":"Fan, Ke, et al. “Unsupervised Open-Vocabulary Object Localization in Videos.” <i>ArXiv</i>, 2309.09858, doi:<a href=\"https://doi.org/10.48550/arXiv.2309.09858\">10.48550/arXiv.2309.09858</a>.","short":"K. Fan, Z. Bai, T. Xiao, D. Zietlow, M. Horn, Z. Zhao, C.-J.S.-G. Carl-Johann Simon-Gabriel, M.Z. Shou, F. Locatello, B. Schiele, T. Brox, Z. Zhang, Y. Fu, T. He, ArXiv (n.d.)."},"extern":"1","oa_version":"Preprint","author":[{"last_name":"Fan","first_name":"Ke","full_name":"Fan, Ke"},{"full_name":"Bai, Zechen","first_name":"Zechen","last_name":"Bai"},{"last_name":"Xiao","first_name":"Tianjun","full_name":"Xiao, Tianjun"},{"full_name":"Zietlow, Dominik","last_name":"Zietlow","first_name":"Dominik"},{"first_name":"Max","last_name":"Horn","full_name":"Horn, Max"},{"last_name":"Zhao","first_name":"Zixu","full_name":"Zhao, Zixu"},{"first_name":"Carl-Johann Simon-Gabriel","last_name":"Carl-Johann Simon-Gabriel","full_name":"Carl-Johann Simon-Gabriel, Carl-Johann Simon-Gabriel"},{"full_name":"Shou, Mike Zheng","last_name":"Shou","first_name":"Mike Zheng"},{"full_name":"Locatello, Francesco","orcid":"0000-0002-4850-0683","first_name":"Francesco","last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4"},{"last_name":"Schiele","first_name":"Bernt","full_name":"Schiele, Bernt"},{"first_name":"Thomas","last_name":"Brox","full_name":"Brox, Thomas"},{"full_name":"Zhang, Zheng","last_name":"Zhang","first_name":"Zheng"},{"last_name":"Fu","first_name":"Yanwei","full_name":"Fu, Yanwei"},{"full_name":"He, Tong","first_name":"Tong","last_name":"He"}],"article_number":"2309.09858","month":"09","_id":"14962","language":[{"iso":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"arXiv","date_published":"2023-09-18T00:00:00Z","status":"public","abstract":[{"lang":"eng","text":"In this paper, we show that recent advances in video representation learning\r\nand pre-trained vision-language models allow for substantial improvements in\r\nself-supervised video object localization. We propose a method that first\r\nlocalizes objects in videos via a slot attention approach and then assigns text\r\nto the obtained slots. The latter is achieved by an unsupervised way to read\r\nlocalized semantic information from the pre-trained CLIP model. The resulting\r\nvideo object localization is entirely unsupervised apart from the implicit\r\nannotation contained in CLIP, and it is effectively the first unsupervised\r\napproach that yields good results on regular video benchmarks."}],"date_updated":"2024-02-12T10:12:22Z","day":"18","publication_status":"submitted","external_id":{"arxiv":["2309.09858"]},"doi":"10.48550/arXiv.2309.09858","title":"Unsupervised open-vocabulary object localization in videos","department":[{"_id":"FrLo"}],"oa":1,"article_processing_charge":"No","type":"preprint","year":"2023","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2309.09858"}]},{"abstract":[{"text":"Unsupervised object-centric learning methods allow the partitioning of scenes\r\ninto entities without additional localization information and are excellent\r\ncandidates for reducing the annotation burden of multiple-object tracking (MOT)\r\npipelines. Unfortunately, they lack two key properties: objects are often split\r\ninto parts and are not consistently tracked over time. In fact,\r\nstate-of-the-art models achieve pixel-level accuracy and temporal consistency\r\nby relying on supervised object detection with additional ID labels for the\r\nassociation through time. This paper proposes a video object-centric model for\r\nMOT. It consists of an index-merge module that adapts the object-centric slots\r\ninto detection outputs and an object memory module that builds complete object\r\nprototypes to handle occlusions. Benefited from object-centric learning, we\r\nonly require sparse detection labels (0%-6.25%) for object localization and\r\nfeature binding. Relying on our self-supervised\r\nExpectation-Maximization-inspired loss for object association, our approach\r\nrequires no ID labels. Our experiments significantly narrow the gap between the\r\nexisting object-centric model and the fully supervised state-of-the-art and\r\noutperform several unsupervised trackers.","lang":"eng"}],"date_published":"2023-09-01T00:00:00Z","status":"public","publication":"arXiv","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"14963","language":[{"iso":"eng"}],"article_number":"2309.00233","month":"09","author":[{"full_name":"Zhao, Zixu","first_name":"Zixu","last_name":"Zhao"},{"full_name":"Wang, Jiaze","first_name":"Jiaze","last_name":"Wang"},{"full_name":"Horn, Max","first_name":"Max","last_name":"Horn"},{"first_name":"Yizhuo","last_name":"Ding","full_name":"Ding, Yizhuo"},{"full_name":"He, Tong","first_name":"Tong","last_name":"He"},{"first_name":"Zechen","last_name":"Bai","full_name":"Bai, Zechen"},{"last_name":"Zietlow","first_name":"Dominik","full_name":"Zietlow, Dominik"},{"first_name":"Carl-Johann Simon-Gabriel","last_name":"Carl-Johann Simon-Gabriel","full_name":"Carl-Johann Simon-Gabriel, Carl-Johann Simon-Gabriel"},{"full_name":"Shuai, Bing","first_name":"Bing","last_name":"Shuai"},{"first_name":"Zhuowen","last_name":"Tu","full_name":"Tu, Zhuowen"},{"first_name":"Thomas","last_name":"Brox","full_name":"Brox, Thomas"},{"full_name":"Schiele, Bernt","last_name":"Schiele","first_name":"Bernt"},{"full_name":"Fu, Yanwei","first_name":"Yanwei","last_name":"Fu"},{"id":"26cfd52f-2483-11ee-8040-88983bcc06d4","first_name":"Francesco","last_name":"Locatello","full_name":"Locatello, Francesco","orcid":"0000-0002-4850-0683"},{"full_name":"Zhang, Zheng","last_name":"Zhang","first_name":"Zheng"},{"first_name":"Tianjun","last_name":"Xiao","full_name":"Xiao, Tianjun"}],"oa_version":"Preprint","extern":"1","citation":{"mla":"Zhao, Zixu, et al. “Object-Centric Multiple Object Tracking.” <i>ArXiv</i>, 2309.00233, doi:<a href=\"https://doi.org/10.48550/arXiv.2309.00233\">10.48550/arXiv.2309.00233</a>.","short":"Z. Zhao, J. Wang, M. Horn, Y. Ding, T. He, Z. Bai, D. Zietlow, C.-J.S.-G. Carl-Johann Simon-Gabriel, B. Shuai, Z. Tu, T. Brox, B. Schiele, Y. Fu, F. Locatello, Z. Zhang, T. Xiao, ArXiv (n.d.).","ieee":"Z. Zhao <i>et al.</i>, “Object-centric multiple object tracking,” <i>arXiv</i>. .","chicago":"Zhao, Zixu, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, et al. “Object-Centric Multiple Object Tracking.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2309.00233\">https://doi.org/10.48550/arXiv.2309.00233</a>.","apa":"Zhao, Z., Wang, J., Horn, M., Ding, Y., He, T., Bai, Z., … Xiao, T. (n.d.). Object-centric multiple object tracking. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2309.00233\">https://doi.org/10.48550/arXiv.2309.00233</a>","ista":"Zhao Z, Wang J, Horn M, Ding Y, He T, Bai Z, Zietlow D, Carl-Johann Simon-Gabriel C-JS-G, Shuai B, Tu Z, Brox T, Schiele B, Fu Y, Locatello F, Zhang Z, Xiao T. Object-centric multiple object tracking. arXiv, 2309.00233.","ama":"Zhao Z, Wang J, Horn M, et al. Object-centric multiple object tracking. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2309.00233\">10.48550/arXiv.2309.00233</a>"},"arxiv":1,"date_created":"2024-02-08T15:34:43Z","main_file_link":[{"open_access":"1","url":" https://doi.org/10.48550/arXiv.2309.00233"}],"year":"2023","type":"preprint","oa":1,"article_processing_charge":"No","department":[{"_id":"FrLo"}],"title":"Object-centric multiple object tracking","doi":"10.48550/arXiv.2309.00233","external_id":{"arxiv":["2309.00233"]},"publication_status":"submitted","day":"01","date_updated":"2024-02-12T10:16:21Z"},{"volume":2,"type":"journal_article","department":[{"_id":"MaIb"}],"quality_controlled":"1","publication_status":"published","publisher":"Wiley","abstract":[{"lang":"eng","text":"Lead sulfide (PbS) presents large potential in thermoelectric application due to its earth-abundant S element. However, its inferior average ZT (ZTave) value makes PbS less competitive with its analogs PbTe and PbSe. To promote its thermoelectric performance, this study implements strategies of continuous Se alloying and Cu interstitial doping to synergistically tune thermal and electrical transport properties in n-type PbS. First, the lattice parameter of 5.93 Å in PbS is linearly expanded to 6.03 Å in PbS0.5Se0.5 with increasing Se alloying content. This expanded lattice in Se-alloyed PbS not only intensifies phonon scattering but also facilitates the formation of Cu interstitials. Based on the PbS0.6Se0.4 content with the minimal lattice thermal conductivity, Cu interstitials are introduced to improve the electron density, thus boosting the peak power factor, from 3.88 μW cm−1 K−2 in PbS0.6Se0.4 to 20.58 μW cm−1 K−2 in PbS0.6Se0.4−1%Cu. Meanwhile, the lattice thermal conductivity in PbS0.6Se0.4−x%Cu (x = 0–2) is further suppressed due to the strong strain field caused by Cu interstitials. Finally, with the lowered thermal conductivity and high electrical transport properties, a peak ZT ~1.1 and ZTave ~0.82 can be achieved in PbS0.6Se0.4 − 1%Cu at 300–773K, which outperforms previously reported n-type PbS."}],"date_published":"2023-01-01T00:00:00Z","status":"public","publication":"Interdisciplinary Materials","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"intvolume":"         2","oa_version":"Published Version","date_created":"2024-02-14T12:12:17Z","has_accepted_license":"1","year":"2023","oa":1,"article_processing_charge":"Yes","title":"Lattice expansion enables interstitial doping to achieve a high average ZT in n‐type PbS","doi":"10.1002/idm2.12056","publication_identifier":{"eissn":["2767-441X"]},"day":"01","date_updated":"2024-02-19T10:01:26Z","page":"161-170","issue":"1","acknowledgement":"The authors would like to acknowledge the strong supportof microstructure observation from Center for HighPressure Science and Technology Advanced Research(HPSTAR). We acknowledge the financial support fromthe  National  Natural  Science  Foundation  of  China:52172236, the Fundamental Research Funds for theCentral Universities: xtr042021007, Top Young TalentsProgramme of Xi'an Jiaotong University and NationalScience Fund for Distinguished Young Scholars: 51925101.","_id":"14985","language":[{"iso":"eng"}],"month":"01","file_date_updated":"2024-02-19T09:58:32Z","author":[{"last_name":"Liu","first_name":"Zhengtao","full_name":"Liu, Zhengtao"},{"last_name":"Hong","first_name":"Tao","full_name":"Hong, Tao"},{"first_name":"Liqing","last_name":"Xu","full_name":"Xu, Liqing"},{"full_name":"Wang, Sining","last_name":"Wang","first_name":"Sining"},{"full_name":"Gao, Xiang","last_name":"Gao","first_name":"Xiang"},{"id":"9E331C2E-9F27-11E9-AE48-5033E6697425","first_name":"Cheng","last_name":"Chang","full_name":"Chang, Cheng","orcid":"0000-0002-9515-4277"},{"first_name":"Xiangdong","last_name":"Ding","full_name":"Ding, Xiangdong"},{"first_name":"Yu","last_name":"Xiao","full_name":"Xiao, Yu"},{"last_name":"Zhao","first_name":"Li‐Dong","full_name":"Zhao, Li‐Dong"}],"file":[{"content_type":"application/pdf","creator":"dernst","checksum":"7b5e8210ef1434feb173022c6dbbee0c","relation":"main_file","file_name":"2023_InterdiscMaterials_Liu.pdf","success":1,"file_id":"15015","file_size":4675941,"date_updated":"2024-02-19T09:58:32Z","date_created":"2024-02-19T09:58:32Z","access_level":"open_access"}],"article_type":"original","citation":{"ama":"Liu Z, Hong T, Xu L, et al. Lattice expansion enables interstitial doping to achieve a high average ZT in n‐type PbS. <i>Interdisciplinary Materials</i>. 2023;2(1):161-170. doi:<a href=\"https://doi.org/10.1002/idm2.12056\">10.1002/idm2.12056</a>","ista":"Liu Z, Hong T, Xu L, Wang S, Gao X, Chang C, Ding X, Xiao Y, Zhao L. 2023. Lattice expansion enables interstitial doping to achieve a high average ZT in n‐type PbS. Interdisciplinary Materials. 2(1), 161–170.","apa":"Liu, Z., Hong, T., Xu, L., Wang, S., Gao, X., Chang, C., … Zhao, L. (2023). Lattice expansion enables interstitial doping to achieve a high average ZT in n‐type PbS. <i>Interdisciplinary Materials</i>. Wiley. <a href=\"https://doi.org/10.1002/idm2.12056\">https://doi.org/10.1002/idm2.12056</a>","chicago":"Liu, Zhengtao, Tao Hong, Liqing Xu, Sining Wang, Xiang Gao, Cheng Chang, Xiangdong Ding, Yu Xiao, and Li‐Dong Zhao. “Lattice Expansion Enables Interstitial Doping to Achieve a High Average ZT in N‐type PbS.” <i>Interdisciplinary Materials</i>. Wiley, 2023. <a href=\"https://doi.org/10.1002/idm2.12056\">https://doi.org/10.1002/idm2.12056</a>.","ieee":"Z. Liu <i>et al.</i>, “Lattice expansion enables interstitial doping to achieve a high average ZT in n‐type PbS,” <i>Interdisciplinary Materials</i>, vol. 2, no. 1. Wiley, pp. 161–170, 2023.","mla":"Liu, Zhengtao, et al. “Lattice Expansion Enables Interstitial Doping to Achieve a High Average ZT in N‐type PbS.” <i>Interdisciplinary Materials</i>, vol. 2, no. 1, Wiley, 2023, pp. 161–70, doi:<a href=\"https://doi.org/10.1002/idm2.12056\">10.1002/idm2.12056</a>.","short":"Z. Liu, T. Hong, L. Xu, S. Wang, X. Gao, C. Chang, X. Ding, Y. Xiao, L. Zhao, Interdisciplinary Materials 2 (2023) 161–170."},"ddc":["540"]},{"citation":{"chicago":"Malvai, Harjasleen, Eleftherios Kokoris Kogias, Alberto Sonnino, Esha Ghosh, Ercan Oztürk, Kevin Lewi, and Sean Lawlor. “Parakeet: Practical Key Transparency for End-to-End EEncrypted Messaging.” In <i>Proceedings of the 2023 Network and Distributed System Security Symposium</i>. Internet Society, 2023. <a href=\"https://doi.org/10.14722/ndss.2023.24545\">https://doi.org/10.14722/ndss.2023.24545</a>.","ieee":"H. Malvai <i>et al.</i>, “Parakeet: Practical key transparency for end-to-end eEncrypted messaging,” in <i>Proceedings of the 2023 Network and Distributed System Security Symposium</i>, San Diego, CA, United States, 2023.","mla":"Malvai, Harjasleen, et al. “Parakeet: Practical Key Transparency for End-to-End EEncrypted Messaging.” <i>Proceedings of the 2023 Network and Distributed System Security Symposium</i>, Internet Society, 2023, doi:<a href=\"https://doi.org/10.14722/ndss.2023.24545\">10.14722/ndss.2023.24545</a>.","short":"H. Malvai, E. Kokoris Kogias, A. Sonnino, E. Ghosh, E. Oztürk, K. Lewi, S. Lawlor, in:, Proceedings of the 2023 Network and Distributed System Security Symposium, Internet Society, 2023.","ama":"Malvai H, Kokoris Kogias E, Sonnino A, et al. Parakeet: Practical key transparency for end-to-end eEncrypted messaging. In: <i>Proceedings of the 2023 Network and Distributed System Security Symposium</i>. Internet Society; 2023. doi:<a href=\"https://doi.org/10.14722/ndss.2023.24545\">10.14722/ndss.2023.24545</a>","ista":"Malvai H, Kokoris Kogias E, Sonnino A, Ghosh E, Oztürk E, Lewi K, Lawlor S. 2023. Parakeet: Practical key transparency for end-to-end eEncrypted messaging. Proceedings of the 2023 Network and Distributed System Security Symposium. NDSS: Network and Distributed Systems Security.","apa":"Malvai, H., Kokoris Kogias, E., Sonnino, A., Ghosh, E., Oztürk, E., Lewi, K., &#38; Lawlor, S. (2023). Parakeet: Practical key transparency for end-to-end eEncrypted messaging. In <i>Proceedings of the 2023 Network and Distributed System Security Symposium</i>. San Diego, CA, United States: Internet Society. <a href=\"https://doi.org/10.14722/ndss.2023.24545\">https://doi.org/10.14722/ndss.2023.24545</a>"},"date_created":"2024-02-14T14:20:40Z","month":"03","author":[{"first_name":"Harjasleen","last_name":"Malvai","full_name":"Malvai, Harjasleen"},{"full_name":"Kokoris Kogias, Eleftherios","id":"f5983044-d7ef-11ea-ac6d-fd1430a26d30","last_name":"Kokoris Kogias","first_name":"Eleftherios"},{"full_name":"Sonnino, Alberto","first_name":"Alberto","last_name":"Sonnino"},{"first_name":"Esha","last_name":"Ghosh","full_name":"Ghosh, Esha"},{"last_name":"Oztürk","first_name":"Ercan","full_name":"Oztürk, Ercan"},{"first_name":"Kevin","last_name":"Lewi","full_name":"Lewi, Kevin"},{"first_name":"Sean","last_name":"Lawlor","full_name":"Lawlor, Sean"}],"oa_version":"Published Version","acknowledgement":"This work is supported by the Novi team at Meta and funded in part by IC3 industry partners and NSF grant 1943499.","_id":"14989","language":[{"iso":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2023-03-01T00:00:00Z","status":"public","publication":"Proceedings of the 2023 Network and Distributed System Security Symposium","abstract":[{"lang":"eng","text":"Encryption alone is not enough for secure end-to end encrypted messaging: a server must also honestly serve public keys to users. Key transparency has been presented as an efficient\r\nsolution for detecting (and hence deterring) a server that attempts to dishonestly serve keys. Key transparency involves two major components: (1) a username to public key mapping, stored and cryptographically committed to by the server, and, (2) an outof-band consistency protocol for serving short commitments to users. In the setting of real-world deployments and supporting production scale, new challenges must be considered for both of these components. We enumerate these challenges and provide solutions to address them. In particular, we design and implement a memory-optimized and privacy-preserving verifiable data structure for committing to the username to public key store.\r\nTo make this implementation viable for production, we also integrate support for persistent and distributed storage. We also propose a future-facing solution, termed “compaction”, as\r\na mechanism for mitigating practical issues that arise from dealing with infinitely growing server data structures. Finally, we implement a consensusless solution that achieves the minimum requirements for a service that consistently distributes commitments for a transparency application, providing a much more efficient protocol for distributing small and consistent\r\ncommitments to users. This culminates in our production-grade implementation of a key transparency system (Parakeet) which we have open-sourced, along with a demonstration of feasibility through our benchmarks."}],"publisher":"Internet Society","date_updated":"2024-02-19T12:11:15Z","publication_identifier":{"isbn":["1891562835"]},"publication_status":"published","day":"01","quality_controlled":"1","department":[{"_id":"ElKo"}],"title":"Parakeet: Practical key transparency for end-to-end eEncrypted messaging","doi":"10.14722/ndss.2023.24545","article_processing_charge":"No","oa":1,"type":"conference","main_file_link":[{"url":"https://eprint.iacr.org/2023/081","open_access":"1"}],"year":"2023","conference":{"location":"San Diego, CA, United States","name":"NDSS: Network and Distributed Systems Security","start_date":"2023-02-27","end_date":"2023-03-03"}},{"main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.7548214"}],"year":"2023","related_material":{"record":[{"status":"public","id":"13139","relation":"used_in_publication"}]},"has_accepted_license":"1","article_processing_charge":"No","oa":1,"type":"research_data_reference","doi":"10.5281/ZENODO.7548214","department":[{"_id":"KrCh"}],"title":"Artefact for: Correct Approximation of Stationary Distributions","date_updated":"2024-02-27T07:19:32Z","publisher":"Zenodo","day":"18","date_published":"2023-01-18T00:00:00Z","status":"public","abstract":[{"lang":"eng","text":"The software artefact to evaluate the approximation of stationary distributions implementation."}],"_id":"14990","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"Published Version","author":[{"first_name":"Tobias","last_name":"Meggendorfer","id":"b21b0c15-30a2-11eb-80dc-f13ca25802e1","orcid":"0000-0002-1712-2165","full_name":"Meggendorfer, Tobias"}],"month":"01","ddc":["000"],"date_created":"2024-02-14T14:27:06Z","citation":{"apa":"Meggendorfer, T. (2023). Artefact for: Correct Approximation of Stationary Distributions. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.7548214\">https://doi.org/10.5281/ZENODO.7548214</a>","ista":"Meggendorfer T. 2023. Artefact for: Correct Approximation of Stationary Distributions, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.7548214\">10.5281/ZENODO.7548214</a>.","ama":"Meggendorfer T. Artefact for: Correct Approximation of Stationary Distributions. 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.7548214\">10.5281/ZENODO.7548214</a>","mla":"Meggendorfer, Tobias. <i>Artefact for: Correct Approximation of Stationary Distributions</i>. Zenodo, 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.7548214\">10.5281/ZENODO.7548214</a>.","short":"T. Meggendorfer, (2023).","ieee":"T. Meggendorfer, “Artefact for: Correct Approximation of Stationary Distributions.” Zenodo, 2023.","chicago":"Meggendorfer, Tobias. “Artefact for: Correct Approximation of Stationary Distributions.” Zenodo, 2023. <a href=\"https://doi.org/10.5281/ZENODO.7548214\">https://doi.org/10.5281/ZENODO.7548214</a>."}},{"ddc":["550"],"citation":{"ista":"Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood SC. 2023. Data-assessing memory in convection schemes using idealized tests, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.7757041\">10.5281/ZENODO.7757041</a>.","apa":"Hwong, Y.-L., Colin, M., Aglas, P., Muller, C. J., &#38; Sherwood, S. C. (2023). Data-assessing memory in convection schemes using idealized tests. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.7757041\">https://doi.org/10.5281/ZENODO.7757041</a>","ama":"Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood SC. Data-assessing memory in convection schemes using idealized tests. 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.7757041\">10.5281/ZENODO.7757041</a>","short":"Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S.C. Sherwood, (2023).","mla":"Hwong, Yi-Ling, et al. <i>Data-Assessing Memory in Convection Schemes Using Idealized Tests</i>. Zenodo, 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.7757041\">10.5281/ZENODO.7757041</a>.","chicago":"Hwong, Yi-Ling, Maxime Colin, Philipp Aglas, Caroline J Muller, and Steven C. Sherwood. “Data-Assessing Memory in Convection Schemes Using Idealized Tests.” Zenodo, 2023. <a href=\"https://doi.org/10.5281/ZENODO.7757041\">https://doi.org/10.5281/ZENODO.7757041</a>.","ieee":"Y.-L. Hwong, M. Colin, P. Aglas, C. J. Muller, and S. C. Sherwood, “Data-assessing memory in convection schemes using idealized tests.” Zenodo, 2023."},"date_created":"2024-02-14T14:37:57Z","author":[{"last_name":"Hwong","first_name":"Yi-Ling","id":"1217aa61-4dd1-11ec-9ac3-f2ba3f17ee22","full_name":"Hwong, Yi-Ling","orcid":"0000-0001-9281-3479"},{"last_name":"Colin","first_name":"Maxime","full_name":"Colin, Maxime"},{"last_name":"Aglas","first_name":"Philipp","id":"02eace56-97fc-11ee-b81a-f0939ca85a77","full_name":"Aglas, Philipp"},{"orcid":"0000-0001-5836-5350","full_name":"Muller, Caroline J","id":"f978ccb0-3f7f-11eb-b193-b0e2bd13182b","last_name":"Muller","first_name":"Caroline J"},{"first_name":"Steven C.","last_name":"Sherwood","full_name":"Sherwood, Steven C."}],"oa_version":"Published Version","month":"06","_id":"14991","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2023-06-23T00:00:00Z","status":"public","abstract":[{"text":"This repository contains the data, scripts, WRF codes and files required to reproduce the results of the manuscript \"Assessing Memory in Convection Schemes Using Idealized Tests\" submitted to the Journal of Advances in Modeling Earth Systems (JAMES).","lang":"eng"}],"date_updated":"2024-02-27T07:26:31Z","publisher":"Zenodo","day":"23","project":[{"call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","name":"IST-BRIDGE: International postdoctoral program","grant_number":"101034413"}],"doi":"10.5281/ZENODO.7757041","title":"Data-assessing memory in convection schemes using idealized tests","department":[{"_id":"CaMu"}],"oa":1,"article_processing_charge":"No","type":"research_data_reference","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.7757041"}],"year":"2023","ec_funded":1,"has_accepted_license":"1","related_material":{"record":[{"status":"public","id":"14654","relation":"used_in_publication"}]}},{"status":"public","date_published":"2023-07-19T00:00:00Z","publication":"Density Functional Theory","abstract":[{"text":"In this chapter we first review the Levy–Lieb functional, which gives the lowest kinetic and interaction energy that can be reached with all possible quantum states having a given density. We discuss two possible convex generalizations of this functional, corresponding to using mixed canonical and grand-canonical states, respectively. We present some recent works about the local density approximation, in which the functionals get replaced by purely local functionals constructed using the uniform electron gas energy per unit volume. We then review the known upper and lower bounds on the Levy–Lieb functionals. We start with the kinetic energy alone, then turn to the classical interaction alone, before we are able to put everything together. A later section is devoted to the Hohenberg–Kohn theorem and the role of many-body unique continuation in its proof.","lang":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"Preprint","date_created":"2024-02-14T14:44:33Z","edition":"1","alternative_title":["Mathematics and Molecular Modeling"],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1912.10424"}],"type":"book_chapter","quality_controlled":"1","department":[{"_id":"RoSe"}],"editor":[{"full_name":"Cances, Eric","last_name":"Cances","first_name":"Eric"},{"first_name":"Gero","last_name":"Friesecke","full_name":"Friesecke, Gero"}],"publisher":"Springer","publication_status":"published","page":"115-182","language":[{"iso":"eng"}],"_id":"14992","month":"07","author":[{"first_name":"Mathieu","last_name":"Lewin","full_name":"Lewin, Mathieu"},{"last_name":"Lieb","first_name":"Elliott H.","full_name":"Lieb, Elliott H."},{"last_name":"Seiringer","first_name":"Robert","id":"4AFD0470-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6781-0521","full_name":"Seiringer, Robert"}],"arxiv":1,"citation":{"apa":"Lewin, M., Lieb, E. H., &#38; Seiringer, R. (2023). Universal Functionals in Density Functional Theory. In E. Cances &#38; G. Friesecke (Eds.), <i>Density Functional Theory</i> (1st ed., pp. 115–182). Springer. <a href=\"https://doi.org/10.1007/978-3-031-22340-2_3\">https://doi.org/10.1007/978-3-031-22340-2_3</a>","ista":"Lewin M, Lieb EH, Seiringer R. 2023.Universal Functionals in Density Functional Theory. In: Density Functional Theory. Mathematics and Molecular Modeling, , 115–182.","ama":"Lewin M, Lieb EH, Seiringer R. Universal Functionals in Density Functional Theory. In: Cances E, Friesecke G, eds. <i>Density Functional Theory</i>. 1st ed. MAMOMO. Springer; 2023:115-182. doi:<a href=\"https://doi.org/10.1007/978-3-031-22340-2_3\">10.1007/978-3-031-22340-2_3</a>","short":"M. Lewin, E.H. Lieb, R. Seiringer, in:, E. Cances, G. Friesecke (Eds.), Density Functional Theory, 1st ed., Springer, 2023, pp. 115–182.","mla":"Lewin, Mathieu, et al. “Universal Functionals in Density Functional Theory.” <i>Density Functional Theory</i>, edited by Eric Cances and Gero Friesecke, 1st ed., Springer, 2023, pp. 115–82, doi:<a href=\"https://doi.org/10.1007/978-3-031-22340-2_3\">10.1007/978-3-031-22340-2_3</a>.","ieee":"M. Lewin, E. H. Lieb, and R. Seiringer, “Universal Functionals in Density Functional Theory,” in <i>Density Functional Theory</i>, 1st ed., E. Cances and G. Friesecke, Eds. Springer, 2023, pp. 115–182.","chicago":"Lewin, Mathieu, Elliott H. Lieb, and Robert Seiringer. “Universal Functionals in Density Functional Theory.” In <i>Density Functional Theory</i>, edited by Eric Cances and Gero Friesecke, 1st ed., 115–82. MAMOMO. Springer, 2023. <a href=\"https://doi.org/10.1007/978-3-031-22340-2_3\">https://doi.org/10.1007/978-3-031-22340-2_3</a>."},"year":"2023","series_title":"MAMOMO","oa":1,"article_processing_charge":"No","external_id":{"arxiv":["1912.10424"]},"title":"Universal Functionals in Density Functional Theory","doi":"10.1007/978-3-031-22340-2_3","date_updated":"2024-02-20T08:33:06Z","publication_identifier":{"issn":["3005-0286"],"eisbn":["9783031223402"],"isbn":["9783031223396"]},"day":"19"},{"date_created":"2024-02-14T15:11:48Z","citation":{"chicago":"Currin, Christopher, Mercy Nyamewaa Asiedu , Chris Fourie, Benjamin Rosman, Houcemeddine Turki, Atnafu Lambebo Tonja, Jade Abbott, et al. “A Framework for Grassroots Research Collaboration in Machine Learning and Global Health.” In <i>1st Workshop on Machine Learning &#38; Global Health</i>. OpenReview, 2023.","ieee":"C. Currin <i>et al.</i>, “A framework for grassroots research collaboration in machine learning and global health,” in <i>1st Workshop on Machine Learning &#38; Global Health</i>, Kigali, Rwanda, 2023.","short":"C. Currin, M.N. Asiedu , C. Fourie, B. Rosman, H. Turki, A. Lambebo Tonja, J. Abbott, M. Ajala, S.A. Adedayo, C.C. Emezue, D. Machangara, in:, 1st Workshop on Machine Learning &#38; Global Health, OpenReview, 2023.","mla":"Currin, Christopher, et al. “A Framework for Grassroots Research Collaboration in Machine Learning and Global Health.” <i>1st Workshop on Machine Learning &#38; Global Health</i>, OpenReview, 2023.","ama":"Currin C, Asiedu  MN, Fourie C, et al. A framework for grassroots research collaboration in machine learning and global health. In: <i>1st Workshop on Machine Learning &#38; Global Health</i>. OpenReview; 2023.","ista":"Currin C, Asiedu  MN, Fourie C, Rosman B, Turki H, Lambebo Tonja A, Abbott J, Ajala M, Adedayo SA, Emezue CC, Machangara D. 2023. A framework for grassroots research collaboration in machine learning and global health. 1st Workshop on Machine Learning &#38; Global Health. ICLR: International Conference on Learning Representations.","apa":"Currin, C., Asiedu , M. N., Fourie, C., Rosman, B., Turki, H., Lambebo Tonja, A., … Machangara, D. (2023). A framework for grassroots research collaboration in machine learning and global health. In <i>1st Workshop on Machine Learning &#38; Global Health</i>. Kigali, Rwanda: OpenReview."},"month":"03","oa_version":"Published Version","author":[{"orcid":"0000-0002-4809-5059","full_name":"Currin, Christopher","id":"e8321fc5-3091-11eb-8a53-83f309a11ac9","last_name":"Currin","first_name":"Christopher"},{"last_name":"Asiedu ","first_name":"Mercy Nyamewaa","full_name":"Asiedu , Mercy Nyamewaa"},{"full_name":"Fourie, Chris","last_name":"Fourie","first_name":"Chris"},{"last_name":"Rosman","first_name":"Benjamin","full_name":"Rosman, Benjamin"},{"full_name":"Turki, Houcemeddine","first_name":"Houcemeddine","last_name":"Turki"},{"first_name":"Atnafu","last_name":"Lambebo Tonja","full_name":"Lambebo Tonja, Atnafu"},{"first_name":"Jade","last_name":"Abbott","full_name":"Abbott, Jade"},{"full_name":"Ajala, Marvellous","first_name":"Marvellous","last_name":"Ajala"},{"last_name":"Adedayo","first_name":"Sadiq Adewale","full_name":"Adedayo, Sadiq Adewale"},{"first_name":"Chris Chinenye","last_name":"Emezue","full_name":"Emezue, Chris Chinenye"},{"last_name":"Machangara","first_name":"Daphne","full_name":"Machangara, Daphne"}],"acknowledgement":"Houcemeddine Turki’s contributions to this final output have been funded through the Adapting\r\nWikidata to support clinical practice using Data Science, Semantic Web and Machine Learning\r\nproject, which is part of the Wikimedia Research Fund maintained by the Wikimedia Foundation in San Francisco, California, United States of America.","_id":"14993","language":[{"iso":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","date_published":"2023-03-02T00:00:00Z","publication":"1st Workshop on Machine Learning & Global Health","abstract":[{"lang":"eng","text":"Traditional top-down approaches for global health have historically failed to achieve social progress (Hoffman et al., 2015; Hoffman & Røttingen, 2015). Recently, however, a more holistic, multi-level approach termed One Health (OH) (Osterhaus et al., 2020) is being adopted. Several sets of challenges have been identified for the implementation of OH (dos S. Ribeiro et al., 2019), including policy and funding, education and training, and multi-actor, multi-domain, and multi-level collaborations. These exist despite the increasing accessibility to\r\nknowledge and digital collaborative research tools through the internet. To address some of these challenges, we propose a general framework for grassroots community-based means of participatory research. Additionally, we present a specific roadmap to create a Machine Learning for Global Health community in Africa. The proposed framework aims to enable any small group of individuals with scarce resources to build and sustain an online community within approximately two years. We provide a discussion on the potential impact of the proposed framework for global health research collaborations."}],"publisher":"OpenReview","date_updated":"2024-02-28T12:12:00Z","publication_status":"published","day":"02","quality_controlled":"1","title":"A framework for grassroots research collaboration in machine learning and global health","department":[{"_id":"TiVo"}],"oa":1,"article_processing_charge":"No","type":"conference","year":"2023","main_file_link":[{"open_access":"1","url":"https://openreview.net/forum?id=jHY_G91R880"}],"conference":{"name":"ICLR: International Conference on Learning Representations","location":"Kigali, Rwanda","end_date":"2023-05-05","start_date":"2023-05-05"}},{"date_created":"2024-02-14T15:13:00Z","citation":{"ama":"Majumdar R, Mallik K, Rychlicki M, Schmuck A-K, Soudjani S. A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties. 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.7877790\">10.5281/ZENODO.7877790</a>","apa":"Majumdar, R., Mallik, K., Rychlicki, M., Schmuck, A.-K., &#38; Soudjani, S. (2023). A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.7877790\">https://doi.org/10.5281/ZENODO.7877790</a>","ista":"Majumdar R, Mallik K, Rychlicki M, Schmuck A-K, Soudjani S. 2023. A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.7877790\">10.5281/ZENODO.7877790</a>.","ieee":"R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, and S. Soudjani, “A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties.” Zenodo, 2023.","chicago":"Majumdar, Rupak, Kaushik Mallik, Mateusz Rychlicki, Anne-Kathrin Schmuck, and Sadegh Soudjani. “A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties.” Zenodo, 2023. <a href=\"https://doi.org/10.5281/ZENODO.7877790\">https://doi.org/10.5281/ZENODO.7877790</a>.","short":"R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, S. Soudjani, (2023).","mla":"Majumdar, Rupak, et al. <i>A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties</i>. Zenodo, 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.7877790\">10.5281/ZENODO.7877790</a>."},"ddc":["000"],"month":"04","oa_version":"Published Version","author":[{"full_name":"Majumdar, Rupak","last_name":"Majumdar","first_name":"Rupak"},{"orcid":"0000-0001-9864-7475","full_name":"Mallik, Kaushik","first_name":"Kaushik","last_name":"Mallik","id":"0834ff3c-6d72-11ec-94e0-b5b0a4fb8598"},{"full_name":"Rychlicki, Mateusz","last_name":"Rychlicki","first_name":"Mateusz"},{"first_name":"Anne-Kathrin","last_name":"Schmuck","full_name":"Schmuck, Anne-Kathrin"},{"full_name":"Soudjani, Sadegh","last_name":"Soudjani","first_name":"Sadegh"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"14994","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"abstract":[{"text":"This resource contains the artifacts for reproducing the experimental results presented in the paper titled \"A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties\" that has been submitted in CAV 2023.","lang":"eng"}],"status":"public","date_published":"2023-04-28T00:00:00Z","day":"28","publisher":"Zenodo","date_updated":"2024-02-27T07:39:51Z","title":"A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties","department":[{"_id":"ToHe"}],"doi":"10.5281/ZENODO.7877790","type":"research_data_reference","article_processing_charge":"No","oa":1,"related_material":{"record":[{"status":"public","id":"14758","relation":"used_in_publication"}]},"has_accepted_license":"1","main_file_link":[{"url":"https://doi.org/10.5281/zenodo.7877790","open_access":"1"}],"year":"2023"},{"month":"04","author":[{"full_name":"Koval, Nikita","id":"2F4DB10C-F248-11E8-B48F-1D18A9856A87","last_name":"Koval","first_name":"Nikita"},{"full_name":"Fedorov, Alexander","first_name":"Alexander","last_name":"Fedorov","id":"2e711909-896a-11ed-bdf8-eb0f5a2984c6"},{"first_name":"Maria","last_name":"Sokolova","full_name":"Sokolova, Maria"},{"last_name":"Tsitelov","first_name":"Dmitry","full_name":"Tsitelov, Dmitry"},{"orcid":"0000-0003-3650-940X","full_name":"Alistarh, Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","first_name":"Dan-Adrian","last_name":"Alistarh"}],"oa_version":"Published Version","citation":{"ieee":"N. Koval, A. Fedorov, M. Sokolova, D. Tsitelov, and D.-A. Alistarh, “Lincheck: A practical framework for testing concurrent data structures on JVM.” Zenodo, 2023.","chicago":"Koval, Nikita, Alexander Fedorov, Maria Sokolova, Dmitry Tsitelov, and Dan-Adrian Alistarh. “Lincheck: A Practical Framework for Testing Concurrent Data Structures on JVM.” Zenodo, 2023. <a href=\"https://doi.org/10.5281/ZENODO.7877757\">https://doi.org/10.5281/ZENODO.7877757</a>.","short":"N. Koval, A. Fedorov, M. Sokolova, D. Tsitelov, D.-A. Alistarh, (2023).","mla":"Koval, Nikita, et al. <i>Lincheck: A Practical Framework for Testing Concurrent Data Structures on JVM</i>. Zenodo, 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.7877757\">10.5281/ZENODO.7877757</a>.","ama":"Koval N, Fedorov A, Sokolova M, Tsitelov D, Alistarh D-A. Lincheck: A practical framework for testing concurrent data structures on JVM. 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.7877757\">10.5281/ZENODO.7877757</a>","apa":"Koval, N., Fedorov, A., Sokolova, M., Tsitelov, D., &#38; Alistarh, D.-A. (2023). Lincheck: A practical framework for testing concurrent data structures on JVM. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.7877757\">https://doi.org/10.5281/ZENODO.7877757</a>","ista":"Koval N, Fedorov A, Sokolova M, Tsitelov D, Alistarh D-A. 2023. Lincheck: A practical framework for testing concurrent data structures on JVM, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.7877757\">10.5281/ZENODO.7877757</a>."},"date_created":"2024-02-14T15:14:13Z","ddc":["000"],"status":"public","date_published":"2023-04-28T00:00:00Z","abstract":[{"lang":"eng","text":"Lincheck is a new practical and user-friendly framework for testing concurrent data structures on the Java Virtual Machine (JVM). It provides a simple and declarative way to write concurrent tests. Instead of describing how to perform the test, users specify what to test by declaring all the operations to examine; the framework automatically handles the rest. As a result, tests written with Lincheck are concise and easy to understand. \r\nThe artifact presents a collection of Lincheck tests that discover new bugs in popular libraries and implementations from the concurrency literature -- they are listed in Table 1, Section 3. To evaluate the performance of Lincheck analysis, the collection of tests also includes those which check correct data structures and, thus, always succeed. Similarly to Table 2, Section 3, the experiments demonstrate the reasonable time to perform a test. Finally, Lincheck provides user-friendly output with an easy-to-follow trace to reproduce a detected error, significantly simplifying further investigation."}],"_id":"14995","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Lincheck: A practical framework for testing concurrent data structures on JVM","department":[{"_id":"DaAl"}],"doi":"10.5281/ZENODO.7877757","publisher":"Zenodo","date_updated":"2024-02-27T07:46:52Z","day":"28","year":"2023","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.7877757"}],"related_material":{"record":[{"id":"14260","relation":"used_in_publication","status":"public"}]},"oa":1,"article_processing_charge":"No","type":"research_data_reference"},{"date_created":"2024-02-25T09:23:24Z","arxiv":1,"citation":{"short":"D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, T.A. Henzinger, in:, 37th Conference on Neural Information Processing Systems, 2023.","mla":"Zikelic, Dorde, et al. “Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees.” <i>37th Conference on Neural Information Processing Systems</i>, 2023.","ieee":"D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, and T. A. Henzinger, “Compositional policy learning in stochastic control systems with formal guarantees,” in <i>37th Conference on Neural Information Processing Systems</i>, New Orleans, LO, United States, 2023.","chicago":"Zikelic, Dorde, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, and Thomas A Henzinger. “Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees.” In <i>37th Conference on Neural Information Processing Systems</i>, 2023.","apa":"Zikelic, D., Lechner, M., Verma, A., Chatterjee, K., &#38; Henzinger, T. A. (2023). Compositional policy learning in stochastic control systems with formal guarantees. In <i>37th Conference on Neural Information Processing Systems</i>. New Orleans, LO, United States.","ista":"Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. 2023. Compositional policy learning in stochastic control systems with formal guarantees. 37th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems.","ama":"Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. Compositional policy learning in stochastic control systems with formal guarantees. In: <i>37th Conference on Neural Information Processing Systems</i>. ; 2023."},"oa_version":"Preprint","author":[{"orcid":"0000-0002-4681-1699","full_name":"Zikelic, Dorde","id":"294AA7A6-F248-11E8-B48F-1D18A9856A87","first_name":"Dorde","last_name":"Zikelic"},{"last_name":"Lechner","first_name":"Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87","full_name":"Lechner, Mathias"},{"first_name":"Abhinav","last_name":"Verma","id":"a235593c-d7fa-11eb-a0c5-b22ca3c66ee6","full_name":"Verma, Abhinav"},{"last_name":"Chatterjee","first_name":"Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4561-241X","full_name":"Chatterjee, Krishnendu"},{"orcid":"0000-0002-2985-7724","full_name":"Henzinger, Thomas A","first_name":"Thomas A","last_name":"Henzinger","id":"40876CD8-F248-11E8-B48F-1D18A9856A87"}],"month":"12","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"_id":"15023","acknowledgement":"This work was supported in part by the ERC-2020-AdG 101020093 (VAMOS) and the ERC-2020-\r\nCoG 863818 (FoRM-SMArt).","abstract":[{"text":"Reinforcement learning has shown promising results in learning neural network policies for complicated control tasks. However, the lack of formal guarantees about the behavior of such policies remains an impediment to their deployment. We propose a novel method for learning a composition of neural network policies in stochastic environments, along with a formal certificate which guarantees that a specification over the policy's behavior is satisfied with the desired probability. Unlike prior work on verifiable RL, our approach leverages the compositional nature of logical specifications provided in SpectRL, to learn over graphs of probabilistic reach-avoid specifications. The formal guarantees are provided by learning neural network policies together with reach-avoid supermartingales (RASM) for the graph’s sub-tasks and then composing them into a global policy. We also derive a tighter lower bound compared to previous work on the probability of reach-avoidance implied by a RASM, which is required to find a compositional policy with an acceptable probabilistic threshold for complex tasks with multiple edge policies. We implement a prototype of our approach and evaluate it on a Stochastic Nine Rooms environment.","lang":"eng"}],"publication":"37th Conference on Neural Information Processing Systems","status":"public","date_published":"2023-12-15T00:00:00Z","day":"15","publication_status":"epub_ahead","date_updated":"2025-07-14T09:10:04Z","department":[{"_id":"ToHe"},{"_id":"KrCh"}],"title":"Compositional policy learning in stochastic control systems with formal guarantees","external_id":{"arxiv":["2312.01456"]},"quality_controlled":"1","project":[{"grant_number":"863818","_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","name":"Formal Methods for Stochastic Models: Algorithms and Applications","call_identifier":"H2020"},{"call_identifier":"H2020","name":"Vigilant Algorithmic Monitoring of Software","_id":"62781420-2b32-11ec-9570-8d9b63373d4d","grant_number":"101020093"}],"type":"conference","oa":1,"article_processing_charge":"No","conference":{"name":"NeurIPS: Neural Information Processing Systems","location":"New Orleans, LO, United States","end_date":"2023-12-16","start_date":"2023-12-10"},"ec_funded":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2312.01456"}],"year":"2023"},{"title":"aggregation_data","department":[{"_id":"AnSa"}],"date_updated":"2024-02-26T08:45:55Z","publisher":"Figshare","day":"13","year":"2023","main_file_link":[{"open_access":"1","url":"https://figshare.com/s/85798bba4ebc68d822ed"}],"related_material":{"record":[{"status":"public","id":"15001","relation":"used_in_publication"}]},"has_accepted_license":"1","oa":1,"article_processing_charge":"No","type":"research_data_reference","author":[{"id":"031eff0d-d481-11ee-8508-cd12a7a86e5b","first_name":"Samo","last_name":"Curk","orcid":"0000-0001-6160-9766","full_name":"Curk, Samo"}],"oa_version":"Published Version","month":"12","ddc":["570"],"date_created":"2024-02-26T08:37:57Z","citation":{"short":"S. Curk, (2023).","mla":"Curk, Samo. <i>Aggregation_data</i>. Figshare, 2023.","chicago":"Curk, Samo. “Aggregation_data.” Figshare, 2023.","ieee":"S. Curk, “aggregation_data.” Figshare, 2023.","ista":"Curk S. 2023. aggregation_data, Figshare.","apa":"Curk, S. (2023). aggregation_data. Figshare.","ama":"Curk S. aggregation_data. 2023."},"date_published":"2023-12-13T00:00:00Z","status":"public","abstract":[{"lang":"eng","text":"This data repository underpins the paper, published in PNAS (doi pending) and bioarxiv (doi: https://doi.org/10.1101/2023.07.05.547777)."}],"tmp":{"name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","image":"/images/cc_0.png"},"_id":"15027","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"date_updated":"2024-02-28T12:33:09Z","publisher":"Zenodo","day":"28","project":[{"call_identifier":"H2020","grant_number":"101020093","_id":"62781420-2b32-11ec-9570-8d9b63373d4d","name":"Vigilant Algorithmic Monitoring of Software"}],"doi":"10.5281/ZENODO.8191723","title":"Monitoring hyperproperties with prefix transducers","department":[{"_id":"ToHe"}],"article_processing_charge":"No","oa":1,"type":"research_data_reference","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.8191722"}],"year":"2023","ec_funded":1,"related_material":{"record":[{"status":"public","id":"14076","relation":"used_in_publication"}]},"has_accepted_license":"1","ddc":["000"],"citation":{"chicago":"Chalupa, Marek, and Thomas A Henzinger. “Monitoring Hyperproperties with Prefix Transducers.” Zenodo, 2023. <a href=\"https://doi.org/10.5281/ZENODO.8191723\">https://doi.org/10.5281/ZENODO.8191723</a>.","ieee":"M. Chalupa and T. A. Henzinger, “Monitoring hyperproperties with prefix transducers.” Zenodo, 2023.","short":"M. Chalupa, T.A. Henzinger, (2023).","mla":"Chalupa, Marek, and Thomas A. Henzinger. <i>Monitoring Hyperproperties with Prefix Transducers</i>. Zenodo, 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.8191723\">10.5281/ZENODO.8191723</a>.","ama":"Chalupa M, Henzinger TA. Monitoring hyperproperties with prefix transducers. 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.8191723\">10.5281/ZENODO.8191723</a>","ista":"Chalupa M, Henzinger TA. 2023. Monitoring hyperproperties with prefix transducers, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.8191723\">10.5281/ZENODO.8191723</a>.","apa":"Chalupa, M., &#38; Henzinger, T. A. (2023). Monitoring hyperproperties with prefix transducers. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.8191723\">https://doi.org/10.5281/ZENODO.8191723</a>"},"date_created":"2024-02-28T07:34:34Z","oa_version":"Published Version","author":[{"full_name":"Chalupa, Marek","id":"87e34708-d6c6-11ec-9f5b-9391e7be2463","first_name":"Marek","last_name":"Chalupa"},{"orcid":"0000-0002-2985-7724","full_name":"Henzinger, Thomas A","last_name":"Henzinger","first_name":"Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87"}],"month":"07","_id":"15035","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2023-07-28T00:00:00Z","status":"public","abstract":[{"lang":"eng","text":"This artifact aims to reproduce experiments from the paper Monitoring Hyperproperties With Prefix Transducers accepted at RV'23, and give further pointers to implementation of prefix transducers.\r\nIt has two parts: a pre-compiled docker image and sources that one can use to compile (locally or in docker) the software and run the experiments."}]},{"type":"preprint","article_processing_charge":"No","oa":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2311.06103"}],"year":"2023","day":"10","publication_status":"submitted","date_updated":"2024-03-04T07:02:39Z","doi":"10.48550/ARXIV.2311.06103","department":[{"_id":"GradSch"},{"_id":"ChLa"}],"title":"1-Lipschitz neural networks are more expressive with N-activations","external_id":{"arxiv":["2311.06103"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"15039","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"A crucial property for achieving secure, trustworthy and interpretable deep learning systems is their robustness: small changes to a system's inputs should not result in large changes to its outputs. Mathematically, this means one strives for networks with a small Lipschitz constant. Several recent works have focused on how to construct such Lipschitz networks, typically by imposing constraints on the weight matrices. In this work, we study an orthogonal aspect, namely the role of the activation function. We show that commonly used activation functions, such as MaxMin, as well as all piece-wise linear ones with two segments unnecessarily restrict the class of representable functions, even in the simplest one-dimensional setting. We furthermore introduce the new N-activation function that is provably more expressive than currently popular activation functions. We provide code at this https URL."}],"publication":"arXiv","date_published":"2023-11-10T00:00:00Z","status":"public","date_created":"2024-02-28T17:59:32Z","citation":{"ama":"Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/ARXIV.2311.06103\">10.48550/ARXIV.2311.06103</a>","apa":"Prach, B., &#38; Lampert, C. (n.d.). 1-Lipschitz neural networks are more expressive with N-activations. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/ARXIV.2311.06103\">https://doi.org/10.48550/ARXIV.2311.06103</a>","ista":"Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations. arXiv, 2311.06103.","ieee":"B. Prach and C. Lampert, “1-Lipschitz neural networks are more expressive with N-activations,” <i>arXiv</i>. .","chicago":"Prach, Bernd, and Christoph Lampert. “1-Lipschitz Neural Networks Are More Expressive with N-Activations.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/ARXIV.2311.06103\">https://doi.org/10.48550/ARXIV.2311.06103</a>.","mla":"Prach, Bernd, and Christoph Lampert. “1-Lipschitz Neural Networks Are More Expressive with N-Activations.” <i>ArXiv</i>, 2311.06103, doi:<a href=\"https://doi.org/10.48550/ARXIV.2311.06103\">10.48550/ARXIV.2311.06103</a>.","short":"B. Prach, C. Lampert, ArXiv (n.d.)."},"arxiv":1,"oa_version":"Preprint","author":[{"full_name":"Prach, Bernd","id":"2D561D42-C427-11E9-89B4-9C1AE6697425","last_name":"Prach","first_name":"Bernd"},{"id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","first_name":"Christoph","last_name":"Lampert","full_name":"Lampert, Christoph","orcid":"0000-0001-8622-7887"}],"month":"11","article_number":"2311.06103"},{"type":"journal_article","volume":952,"department":[{"_id":"LiBu"}],"quality_controlled":"1","publication_status":"published","publisher":"American Astronomical Society","abstract":[{"text":"The ages of solar-like stars have been at the center of many studies such as exoplanet characterization or Galactic-archeology. While ages are usually computed from stellar evolution models, relations linking ages to other stellar properties, such as rotation and magnetic activity, have been investigated. With the large catalog of 55,232 rotation periods, Prot, and photometric magnetic activity index, Sph from Kepler data, we have the opportunity to look for such magneto-gyro-chronology relations. Stellar ages are obtained with two stellar evolution codes that include treatment of angular momentum evolution, hence using Prot as input in addition to classical atmospheric parameters. We explore two different ways of predicting stellar ages on three subsamples with spectroscopic observations: solar analogs, late-F and G dwarfs, and K dwarfs. We first perform a Bayesian analysis to derive relations between Sph and ages between 1 and 5 Gyr, and other stellar properties. For late-F and G dwarfs, and K dwarfs, the multivariate regression favors the model with Prot and Sph with median differences of 0.1% and 0.2%, respectively. We also apply Machine Learning techniques with a Random Forest algorithm to predict ages up to 14 Gyr with the same set of input parameters. For late-F, G and K dwarfs together, predicted ages are on average within 5.3% of the model ages and improve to 3.1% when including Prot. These are very promising results for a quick age estimation for solar-like stars with photometric observations, especially with current and future space missions.","lang":"eng"}],"publication":"The Astrophysical Journal","status":"public","date_published":"2023-08-01T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","intvolume":"       952","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa_version":"Published Version","date_created":"2023-08-01T14:19:16Z","has_accepted_license":"1","year":"2023","article_processing_charge":"Yes","oa":1,"doi":"10.3847/1538-4357/acd118","title":"Magnetic activity evolution of solar-like stars. I. Sph–age relation derived from Kepler observations","external_id":{"isi":["001034185700001"]},"isi":1,"day":"01","publication_identifier":{"issn":["0004-637X"],"eissn":["1538-4357"]},"date_updated":"2023-12-13T12:00:15Z","issue":"2","language":[{"iso":"eng"}],"_id":"13443","acknowledgement":"This paper includes data collected by the Kepler mission and obtained from the MAST data archive at the Space Telescope Science Institute (STScI). Funding for the Kepler mission is provided by the NASA Science Mission Directorate. STScI is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5–26555. We acknowledge that this research was supported in part by the National Science Foundation under grant No. NSF PHY-1748958. S.M. acknowledges support from the Spanish Ministry of Science and Innovation (MICINN) with the Ramón y Cajal fellowship No. RYC-2015-17697, the grant No. PID2019-107061GB-C66, and through AEI under the Severo Ochoa Centres of Excellence Programme 2020–2023 (CEX2019-000920-S). S.M. and D.G.R. acknowledge support from the Spanish Ministry of Science and Innovation (MICINN) with the grant No. PID2019-107187GB-I00. Z.R.C. acknowledges support from National Aeronautics and Space Administration via the TESS Guest Investigator Program (grant No. 80NSSC18K18584). The work presented here was partially supported by the NASA grant NNX17AF27G. A.R.G.S. acknowledges the support by FCT through national funds and by FEDER through COMPETE2020 by the following grants: UIDB/04434/2020 and UIDP/04434/2020. A.R.G.S. is supported by FCT through the work contract No. 2020.02480.CEECIND/CP1631/CT0001. R.A.G., L.A., and S.N.B. acknowledge the support from PLATO and GOLF CNES grants. S.N.B. acknowledges support from PLATO ASI-INAF agreement No. 2015-019-R.1-2018.","author":[{"full_name":"Mathur, Savita","first_name":"Savita","last_name":"Mathur"},{"full_name":"Claytor, Zachary R.","last_name":"Claytor","first_name":"Zachary R."},{"first_name":"Ângela R. G.","last_name":"Santos","full_name":"Santos, Ângela R. G."},{"full_name":"García, Rafael A.","first_name":"Rafael A.","last_name":"García"},{"first_name":"Louis","last_name":"Amard","full_name":"Amard, Louis"},{"full_name":"Bugnet, Lisa Annabelle","orcid":"0000-0003-0142-4000","last_name":"Bugnet","first_name":"Lisa Annabelle","id":"d9edb345-f866-11ec-9b37-d119b5234501"},{"full_name":"Corsaro, Enrico","first_name":"Enrico","last_name":"Corsaro"},{"first_name":"Alfio","last_name":"Bonanno","full_name":"Bonanno, Alfio"},{"full_name":"Breton, Sylvain N.","first_name":"Sylvain N.","last_name":"Breton"},{"last_name":"Godoy-Rivera","first_name":"Diego","full_name":"Godoy-Rivera, Diego"},{"full_name":"Pinsonneault, Marc H.","first_name":"Marc H.","last_name":"Pinsonneault"},{"full_name":"van Saders, Jennifer","first_name":"Jennifer","last_name":"van Saders"}],"file":[{"checksum":"f12452834d7ed6748dbf5ace18af4723","creator":"dernst","relation":"main_file","file_name":"2023_AstrophysicalJour_Mathur.pdf","content_type":"application/pdf","date_created":"2023-08-02T07:42:26Z","date_updated":"2023-08-02T07:42:26Z","access_level":"open_access","file_id":"13448","success":1,"file_size":4192386}],"article_number":"131","month":"08","file_date_updated":"2023-08-02T07:42:26Z","article_type":"original","ddc":["520"],"citation":{"apa":"Mathur, S., Claytor, Z. R., Santos, Â. R. G., García, R. A., Amard, L., Bugnet, L. A., … van Saders, J. (2023). Magnetic activity evolution of solar-like stars. I. Sph–age relation derived from Kepler observations. <i>The Astrophysical Journal</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/1538-4357/acd118\">https://doi.org/10.3847/1538-4357/acd118</a>","ista":"Mathur S, Claytor ZR, Santos ÂRG, García RA, Amard L, Bugnet LA, Corsaro E, Bonanno A, Breton SN, Godoy-Rivera D, Pinsonneault MH, van Saders J. 2023. Magnetic activity evolution of solar-like stars. I. Sph–age relation derived from Kepler observations. The Astrophysical Journal. 952(2), 131.","ama":"Mathur S, Claytor ZR, Santos ÂRG, et al. Magnetic activity evolution of solar-like stars. I. Sph–age relation derived from Kepler observations. <i>The Astrophysical Journal</i>. 2023;952(2). doi:<a href=\"https://doi.org/10.3847/1538-4357/acd118\">10.3847/1538-4357/acd118</a>","mla":"Mathur, Savita, et al. “Magnetic Activity Evolution of Solar-like Stars. I. Sph–Age Relation Derived from Kepler Observations.” <i>The Astrophysical Journal</i>, vol. 952, no. 2, 131, American Astronomical Society, 2023, doi:<a href=\"https://doi.org/10.3847/1538-4357/acd118\">10.3847/1538-4357/acd118</a>.","short":"S. Mathur, Z.R. Claytor, Â.R.G. Santos, R.A. García, L. Amard, L.A. Bugnet, E. Corsaro, A. Bonanno, S.N. Breton, D. Godoy-Rivera, M.H. Pinsonneault, J. van Saders, The Astrophysical Journal 952 (2023).","ieee":"S. Mathur <i>et al.</i>, “Magnetic activity evolution of solar-like stars. I. Sph–age relation derived from Kepler observations,” <i>The Astrophysical Journal</i>, vol. 952, no. 2. American Astronomical Society, 2023.","chicago":"Mathur, Savita, Zachary R. Claytor, Ângela R. G. Santos, Rafael A. García, Louis Amard, Lisa Annabelle Bugnet, Enrico Corsaro, et al. “Magnetic Activity Evolution of Solar-like Stars. I. Sph–Age Relation Derived from Kepler Observations.” <i>The Astrophysical Journal</i>. American Astronomical Society, 2023. <a href=\"https://doi.org/10.3847/1538-4357/acd118\">https://doi.org/10.3847/1538-4357/acd118</a>."},"keyword":["Space and Planetary Science","Astronomy and Astrophysics"]},{"year":"2023","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2307.03237","open_access":"1"}],"article_processing_charge":"No","oa":1,"type":"preprint","external_id":{"arxiv":["2307.03237"]},"doi":"10.48550/arXiv.2307.03237","department":[{"_id":"LiBu"}],"title":"Asteroseismology with the Roman galactic bulge time-domain survey","date_updated":"2023-08-02T07:36:00Z","day":"06","publication_status":"submitted","publication":"arXiv","date_published":"2023-07-06T00:00:00Z","status":"public","abstract":[{"text":"Asteroseismology has transformed stellar astrophysics. Red giant asteroseismology is a prime example, with oscillation periods and amplitudes that are readily detectable with time-domain space-based telescopes. These oscillations can be used to infer masses, ages and radii for large numbers of stars, providing unique constraints on stellar populations in our galaxy. The cadence, duration, and spatial resolution of the Roman galactic bulge time-domain survey (GBTDS) are well-suited for asteroseismology and will probe an important population not studied by prior missions. We identify photometric precision as a key requirement for realizing the potential of asteroseismology with Roman. A precision of 1 mmag per 15-min cadence or better for saturated stars will enable detections of the populous red clump star population in the Galactic bulge. If the survey efficiency is better than expected, we argue for repeat observations of the same fields to improve photometric precision, or covering additional fields to expand the stellar population reach if the photometric precision for saturated stars is better than 1 mmag. Asteroseismology is relatively insensitive to the timing of the observations during the mission, and the prime red clump targets can be observed in a single 70 day campaign in any given field. Complementary stellar characterization, particularly astrometry tied to the Gaia system, will also dramatically expand the diagnostic power of asteroseismology. We also highlight synergies to Roman GBTDS exoplanet science using transits and microlensing.","lang":"eng"}],"language":[{"iso":"eng"}],"_id":"13447","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"Preprint","author":[{"last_name":"Huber","first_name":"Daniel","full_name":"Huber, Daniel"},{"first_name":"Marc","last_name":"Pinsonneault","full_name":"Pinsonneault, Marc"},{"first_name":"Paul","last_name":"Beck","full_name":"Beck, Paul"},{"first_name":"Timothy R.","last_name":"Bedding","full_name":"Bedding, Timothy R."},{"full_name":"Joss Bland-Hawthorn, Joss Bland-Hawthorn","last_name":"Joss Bland-Hawthorn","first_name":"Joss Bland-Hawthorn"},{"last_name":"Breton","first_name":"Sylvain N.","full_name":"Breton, Sylvain N."},{"orcid":"0000-0003-0142-4000","full_name":"Bugnet, Lisa Annabelle","id":"d9edb345-f866-11ec-9b37-d119b5234501","first_name":"Lisa Annabelle","last_name":"Bugnet"},{"full_name":"Chaplin, William J.","last_name":"Chaplin","first_name":"William J."},{"first_name":"Rafael A.","last_name":"Garcia","full_name":"Garcia, Rafael A."},{"full_name":"Grunblatt, Samuel K.","first_name":"Samuel K.","last_name":"Grunblatt"},{"first_name":"Joyce A.","last_name":"Guzik","full_name":"Guzik, Joyce A."},{"full_name":"Hekker, Saskia","first_name":"Saskia","last_name":"Hekker"},{"last_name":"Kawaler","first_name":"Steven D.","full_name":"Kawaler, Steven D."},{"last_name":"Mathis","first_name":"Stephane","full_name":"Mathis, Stephane"},{"last_name":"Mathur","first_name":"Savita","full_name":"Mathur, Savita"},{"full_name":"Metcalfe, Travis","first_name":"Travis","last_name":"Metcalfe"},{"full_name":"Mosser, Benoit","last_name":"Mosser","first_name":"Benoit"},{"full_name":"Ness, Melissa K.","last_name":"Ness","first_name":"Melissa K."},{"full_name":"Piro, Anthony L.","first_name":"Anthony L.","last_name":"Piro"},{"last_name":"Serenelli","first_name":"Aldo","full_name":"Serenelli, Aldo"},{"first_name":"Sanjib","last_name":"Sharma","full_name":"Sharma, Sanjib"},{"full_name":"Soderblom, David R.","last_name":"Soderblom","first_name":"David R."},{"full_name":"Stassun, Keivan G.","last_name":"Stassun","first_name":"Keivan G."},{"first_name":"Dennis","last_name":"Stello","full_name":"Stello, Dennis"},{"last_name":"Tayar","first_name":"Jamie","full_name":"Tayar, Jamie"},{"full_name":"Belle, Gerard T. van","last_name":"Belle","first_name":"Gerard T. van"},{"last_name":"Zinn","first_name":"Joel C.","full_name":"Zinn, Joel C."}],"article_number":"2307.03237","month":"07","date_created":"2023-08-02T07:30:43Z","citation":{"ieee":"D. Huber <i>et al.</i>, “Asteroseismology with the Roman galactic bulge time-domain survey,” <i>arXiv</i>. .","chicago":"Huber, Daniel, Marc Pinsonneault, Paul Beck, Timothy R. Bedding, Joss Bland-Hawthorn Joss Bland-Hawthorn, Sylvain N. Breton, Lisa Annabelle Bugnet, et al. “Asteroseismology with the Roman Galactic Bulge Time-Domain Survey.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2307.03237\">https://doi.org/10.48550/arXiv.2307.03237</a>.","mla":"Huber, Daniel, et al. “Asteroseismology with the Roman Galactic Bulge Time-Domain Survey.” <i>ArXiv</i>, 2307.03237, doi:<a href=\"https://doi.org/10.48550/arXiv.2307.03237\">10.48550/arXiv.2307.03237</a>.","short":"D. Huber, M. Pinsonneault, P. Beck, T.R. Bedding, J.B.-H. Joss Bland-Hawthorn, S.N. Breton, L.A. Bugnet, W.J. Chaplin, R.A. Garcia, S.K. Grunblatt, J.A. Guzik, S. Hekker, S.D. Kawaler, S. Mathis, S. Mathur, T. Metcalfe, B. Mosser, M.K. Ness, A.L. Piro, A. Serenelli, S. Sharma, D.R. Soderblom, K.G. Stassun, D. Stello, J. Tayar, G.T. van Belle, J.C. Zinn, ArXiv (n.d.).","ama":"Huber D, Pinsonneault M, Beck P, et al. Asteroseismology with the Roman galactic bulge time-domain survey. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2307.03237\">10.48550/arXiv.2307.03237</a>","apa":"Huber, D., Pinsonneault, M., Beck, P., Bedding, T. R., Joss Bland-Hawthorn, J. B.-H., Breton, S. N., … Zinn, J. C. (n.d.). Asteroseismology with the Roman galactic bulge time-domain survey. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2307.03237\">https://doi.org/10.48550/arXiv.2307.03237</a>","ista":"Huber D, Pinsonneault M, Beck P, Bedding TR, Joss Bland-Hawthorn JB-H, Breton SN, Bugnet LA, Chaplin WJ, Garcia RA, Grunblatt SK, Guzik JA, Hekker S, Kawaler SD, Mathis S, Mathur S, Metcalfe T, Mosser B, Ness MK, Piro AL, Serenelli A, Sharma S, Soderblom DR, Stassun KG, Stello D, Tayar J, Belle GT van, Zinn JC. Asteroseismology with the Roman galactic bulge time-domain survey. arXiv, 2307.03237."},"arxiv":1},{"article_number":"021001","month":"03","author":[{"full_name":"Geen, Sam","first_name":"Sam","last_name":"Geen"},{"first_name":"Poojan","last_name":"Agrawal","full_name":"Agrawal, Poojan"},{"last_name":"Crowther","first_name":"Paul A.","full_name":"Crowther, Paul A."},{"full_name":"Keller, B. W.","first_name":"B. W.","last_name":"Keller"},{"first_name":"Alex","last_name":"de Koter","full_name":"de Koter, Alex"},{"full_name":"Keszthelyi, Zsolt","first_name":"Zsolt","last_name":"Keszthelyi"},{"last_name":"van de Voort","first_name":"Freeke","full_name":"van de Voort, Freeke"},{"full_name":"Ali, Ahmad A.","last_name":"Ali","first_name":"Ahmad A."},{"full_name":"Backs, Frank","first_name":"Frank","last_name":"Backs"},{"full_name":"Bonne, Lars","last_name":"Bonne","first_name":"Lars"},{"full_name":"Brugaletta, Vittoria","last_name":"Brugaletta","first_name":"Vittoria"},{"full_name":"Derkink, Annelotte","last_name":"Derkink","first_name":"Annelotte"},{"first_name":"Sylvia","last_name":"Ekström","full_name":"Ekström, Sylvia"},{"first_name":"Yvonne A.","last_name":"Fichtner","full_name":"Fichtner, Yvonne A."},{"full_name":"Grassitelli, Luca","last_name":"Grassitelli","first_name":"Luca"},{"id":"d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d","last_name":"Götberg","first_name":"Ylva Louise Linsdotter","orcid":"0000-0002-6960-6911","full_name":"Götberg, Ylva Louise Linsdotter"},{"first_name":"Erin R.","last_name":"Higgins","full_name":"Higgins, Erin R."},{"last_name":"Laplace","first_name":"Eva","full_name":"Laplace, Eva"},{"full_name":"You Liow, Kong","last_name":"You Liow","first_name":"Kong"},{"first_name":"Marta","last_name":"Lorenzo","full_name":"Lorenzo, Marta"},{"full_name":"McLeod, Anna F.","first_name":"Anna F.","last_name":"McLeod"},{"full_name":"Meynet, Georges","last_name":"Meynet","first_name":"Georges"},{"full_name":"Newsome, Megan","first_name":"Megan","last_name":"Newsome"},{"first_name":"G.","last_name":"André Oliva","full_name":"André Oliva, G."},{"first_name":"Varsha","last_name":"Ramachandran","full_name":"Ramachandran, Varsha"},{"full_name":"Rey, Martin P.","last_name":"Rey","first_name":"Martin P."},{"full_name":"Rieder, Steven","first_name":"Steven","last_name":"Rieder"},{"last_name":"Romano-Díaz","first_name":"Emilio","full_name":"Romano-Díaz, Emilio"},{"first_name":"Gautham","last_name":"Sabhahit","full_name":"Sabhahit, Gautham"},{"last_name":"Sander","first_name":"Andreas A. C.","full_name":"Sander, Andreas A. C."},{"full_name":"Sarwar, Rafia","last_name":"Sarwar","first_name":"Rafia"},{"first_name":"Hanno","last_name":"Stinshoff","full_name":"Stinshoff, Hanno"},{"last_name":"Stoop","first_name":"Mitchel","full_name":"Stoop, Mitchel"},{"last_name":"Szécsi","first_name":"Dorottya","full_name":"Szécsi, Dorottya"},{"full_name":"Trebitsch, Maxime","last_name":"Trebitsch","first_name":"Maxime"},{"last_name":"Vink","first_name":"Jorick S.","full_name":"Vink, Jorick S."},{"full_name":"Winch, Ethan","first_name":"Ethan","last_name":"Winch"}],"citation":{"mla":"Geen, Sam, et al. “Bringing Stellar Evolution and Feedback Together: Summary of Proposals from the Lorentz Center Workshop.” <i>Publications of the Astronomical Society of the Pacific</i>, vol. 135, no. 1044, 021001, IOP Publishing, 2023, doi:<a href=\"https://doi.org/10.1088/1538-3873/acb6b5\">10.1088/1538-3873/acb6b5</a>.","short":"S. Geen, P. Agrawal, P.A. Crowther, B.W. Keller, A. de Koter, Z. Keszthelyi, F. van de Voort, A.A. Ali, F. Backs, L. Bonne, V. Brugaletta, A. Derkink, S. Ekström, Y.A. Fichtner, L. Grassitelli, Y.L.L. Götberg, E.R. Higgins, E. Laplace, K. You Liow, M. Lorenzo, A.F. McLeod, G. Meynet, M. Newsome, G. André Oliva, V. Ramachandran, M.P. Rey, S. Rieder, E. Romano-Díaz, G. Sabhahit, A.A.C. Sander, R. Sarwar, H. Stinshoff, M. Stoop, D. Szécsi, M. Trebitsch, J.S. Vink, E. Winch, Publications of the Astronomical Society of the Pacific 135 (2023).","chicago":"Geen, Sam, Poojan Agrawal, Paul A. Crowther, B. W. Keller, Alex de Koter, Zsolt Keszthelyi, Freeke van de Voort, et al. “Bringing Stellar Evolution and Feedback Together: Summary of Proposals from the Lorentz Center Workshop.” <i>Publications of the Astronomical Society of the Pacific</i>. IOP Publishing, 2023. <a href=\"https://doi.org/10.1088/1538-3873/acb6b5\">https://doi.org/10.1088/1538-3873/acb6b5</a>.","ieee":"S. Geen <i>et al.</i>, “Bringing stellar evolution and feedback together: Summary of proposals from the Lorentz Center workshop,” <i>Publications of the Astronomical Society of the Pacific</i>, vol. 135, no. 1044. IOP Publishing, 2023.","ista":"Geen S, Agrawal P, Crowther PA, Keller BW, de Koter A, Keszthelyi Z, van de Voort F, Ali AA, Backs F, Bonne L, Brugaletta V, Derkink A, Ekström S, Fichtner YA, Grassitelli L, Götberg YLL, Higgins ER, Laplace E, You Liow K, Lorenzo M, McLeod AF, Meynet G, Newsome M, André Oliva G, Ramachandran V, Rey MP, Rieder S, Romano-Díaz E, Sabhahit G, Sander AAC, Sarwar R, Stinshoff H, Stoop M, Szécsi D, Trebitsch M, Vink JS, Winch E. 2023. Bringing stellar evolution and feedback together: Summary of proposals from the Lorentz Center workshop. Publications of the Astronomical Society of the Pacific. 135(1044), 021001.","apa":"Geen, S., Agrawal, P., Crowther, P. A., Keller, B. W., de Koter, A., Keszthelyi, Z., … Winch, E. (2023). Bringing stellar evolution and feedback together: Summary of proposals from the Lorentz Center workshop. <i>Publications of the Astronomical Society of the Pacific</i>. IOP Publishing. <a href=\"https://doi.org/10.1088/1538-3873/acb6b5\">https://doi.org/10.1088/1538-3873/acb6b5</a>","ama":"Geen S, Agrawal P, Crowther PA, et al. Bringing stellar evolution and feedback together: Summary of proposals from the Lorentz Center workshop. <i>Publications of the Astronomical Society of the Pacific</i>. 2023;135(1044). doi:<a href=\"https://doi.org/10.1088/1538-3873/acb6b5\">10.1088/1538-3873/acb6b5</a>"},"arxiv":1,"keyword":["Space and Planetary Science","Astronomy and Astrophysics"],"article_type":"original","issue":"1044","language":[{"iso":"eng"}],"_id":"13449","external_id":{"arxiv":["2301.13611"]},"title":"Bringing stellar evolution and feedback together: Summary of proposals from the Lorentz Center workshop","doi":"10.1088/1538-3873/acb6b5","date_updated":"2023-08-21T12:09:14Z","publication_identifier":{"eissn":["1538-3873"],"issn":["0004-6280"]},"day":"09","year":"2023","oa":1,"article_processing_charge":"No","oa_version":"Published Version","date_created":"2023-08-03T10:09:57Z","scopus_import":"1","extern":"1","status":"public","date_published":"2023-03-09T00:00:00Z","publication":"Publications of the Astronomical Society of the Pacific","abstract":[{"lang":"eng","text":"Stars strongly impact their environment, and shape structures on all scales throughout the universe, in a process known as \"feedback.\" Due to the complexity of both stellar evolution and the physics of larger astrophysical structures, there remain many unanswered questions about how feedback operates and what we can learn about stars by studying their imprint on the wider universe. In this white paper, we summarize discussions from the Lorentz Center meeting \"Bringing Stellar Evolution and Feedback Together\" in 2022 April and identify key areas where further dialog can bring about radical changes in how we view the relationship between stars and the universe they live in."}],"intvolume":"       135","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","publisher":"IOP Publishing","publication_status":"published","main_file_link":[{"url":"https://doi.org/10.1088/1538-3873/acb6b5","open_access":"1"}],"volume":135,"type":"journal_article"},{"day":"20","publication_identifier":{"issn":["0004-637X"],"eissn":["1538-4357"]},"date_updated":"2023-08-21T12:07:05Z","doi":"10.3847/1538-4357/aca655","title":"Cool, luminous, and highly variable stars in the Magellanic Clouds. II. Spectroscopic and environmental analysis of Thorne–Żytkow object and super-AGB star candidates","external_id":{"arxiv":["2211.12438"]},"oa":1,"article_processing_charge":"No","year":"2023","article_type":"original","keyword":["Space and Planetary Science","Astronomy and Astrophysics"],"citation":{"mla":"O‘Grady, Anna J. G., et al. “Cool, Luminous, and Highly Variable Stars in the Magellanic Clouds. II. Spectroscopic and Environmental Analysis of Thorne–Żytkow Object and Super-AGB Star Candidates.” <i>The Astrophysical Journal</i>, vol. 943, no. 1, 18, American Astronomical Society, 2023, doi:<a href=\"https://doi.org/10.3847/1538-4357/aca655\">10.3847/1538-4357/aca655</a>.","short":"A.J.G. O‘Grady, M.R. Drout, B.M. Gaensler, C.S. Kochanek, K.F. Neugent, C.L. Doherty, J.S. Speagle, B.J. Shappee, M. Rauch, Y.L.L. Götberg, B. Ludwig, T.A. Thompson, The Astrophysical Journal 943 (2023).","chicago":"O‘Grady, Anna J. G., Maria R. Drout, B. M. Gaensler, C. S. Kochanek, Kathryn F. Neugent, Carolyn L. Doherty, Joshua S. Speagle, et al. “Cool, Luminous, and Highly Variable Stars in the Magellanic Clouds. II. Spectroscopic and Environmental Analysis of Thorne–Żytkow Object and Super-AGB Star Candidates.” <i>The Astrophysical Journal</i>. American Astronomical Society, 2023. <a href=\"https://doi.org/10.3847/1538-4357/aca655\">https://doi.org/10.3847/1538-4357/aca655</a>.","ieee":"A. J. G. O‘Grady <i>et al.</i>, “Cool, luminous, and highly variable stars in the Magellanic Clouds. II. Spectroscopic and environmental analysis of Thorne–Żytkow object and super-AGB star candidates,” <i>The Astrophysical Journal</i>, vol. 943, no. 1. American Astronomical Society, 2023.","ista":"O‘Grady AJG, Drout MR, Gaensler BM, Kochanek CS, Neugent KF, Doherty CL, Speagle JS, Shappee BJ, Rauch M, Götberg YLL, Ludwig B, Thompson TA. 2023. Cool, luminous, and highly variable stars in the Magellanic Clouds. II. Spectroscopic and environmental analysis of Thorne–Żytkow object and super-AGB star candidates. The Astrophysical Journal. 943(1), 18.","apa":"O‘Grady, A. J. G., Drout, M. R., Gaensler, B. M., Kochanek, C. S., Neugent, K. F., Doherty, C. L., … Thompson, T. A. (2023). Cool, luminous, and highly variable stars in the Magellanic Clouds. II. Spectroscopic and environmental analysis of Thorne–Żytkow object and super-AGB star candidates. <i>The Astrophysical Journal</i>. American Astronomical Society. <a href=\"https://doi.org/10.3847/1538-4357/aca655\">https://doi.org/10.3847/1538-4357/aca655</a>","ama":"O‘Grady AJG, Drout MR, Gaensler BM, et al. Cool, luminous, and highly variable stars in the Magellanic Clouds. II. Spectroscopic and environmental analysis of Thorne–Żytkow object and super-AGB star candidates. <i>The Astrophysical Journal</i>. 2023;943(1). doi:<a href=\"https://doi.org/10.3847/1538-4357/aca655\">10.3847/1538-4357/aca655</a>"},"arxiv":1,"author":[{"full_name":"O‘Grady, Anna J. G.","first_name":"Anna J. G.","last_name":"O‘Grady"},{"full_name":"Drout, Maria R.","last_name":"Drout","first_name":"Maria R."},{"full_name":"Gaensler, B. M.","last_name":"Gaensler","first_name":"B. M."},{"full_name":"Kochanek, C. S.","first_name":"C. S.","last_name":"Kochanek"},{"full_name":"Neugent, Kathryn F.","first_name":"Kathryn F.","last_name":"Neugent"},{"full_name":"Doherty, Carolyn L.","first_name":"Carolyn L.","last_name":"Doherty"},{"full_name":"Speagle, Joshua S.","last_name":"Speagle","first_name":"Joshua S."},{"full_name":"Shappee, B. J.","first_name":"B. J.","last_name":"Shappee"},{"full_name":"Rauch, Michael","first_name":"Michael","last_name":"Rauch"},{"full_name":"Götberg, Ylva Louise Linsdotter","orcid":"0000-0002-6960-6911","id":"d0648d0c-0f64-11ee-a2e0-dd0faa2e4f7d","last_name":"Götberg","first_name":"Ylva Louise Linsdotter"},{"full_name":"Ludwig, Bethany","last_name":"Ludwig","first_name":"Bethany"},{"first_name":"Todd A.","last_name":"Thompson","full_name":"Thompson, Todd A."}],"article_number":"18","month":"01","language":[{"iso":"eng"}],"_id":"13450","issue":"1","publication_status":"published","publisher":"American Astronomical Society","quality_controlled":"1","type":"journal_article","volume":943,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.3847/1538-4357/aca655"}],"scopus_import":"1","extern":"1","date_created":"2023-08-03T10:10:12Z","oa_version":"Published Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","intvolume":"       943","abstract":[{"lang":"eng","text":"In previous work, we identified a population of 38 cool and luminous variable stars in the Magellanic Clouds and examined 11 in detail in order to classify them as either Thorne–Żytkow objects (TŻOs; red supergiants with a neutron star cores) or super-asymptotic giant branch (sAGB) stars (the most massive stars that will not undergo core collapse). This population includes HV 2112, a peculiar star previously considered in other works to be either a TŻO or high-mass asymptotic giant branch (AGB) star. Here we continue this investigation, using the kinematic and radio environments and local star formation history of these stars to place constraints on the age of the progenitor systems and the presence of past supernovae. These stars are not associated with regions of recent star formation, and we find no evidence of past supernovae at their locations. Finally, we also assess the presence of heavy elements and lithium in their spectra compared to red supergiants. We find strong absorption in Li and s-process elements compared to RSGs in most of the sample, consistent with sAGB nucleosynthesis, while HV 2112 shows additional strong lines associated with TŻO nucleosynthesis. Coupled with our previous mass estimates, the results are consistent with the stars being massive (∼4–6.5 M⊙) or sAGB (∼6.5–12 M⊙) stars in the thermally pulsing phase, providing crucial observations of the transition between low- and high-mass stellar populations. HV 2112 is more ambiguous; it could either be a maximally massive sAGB star, or a TŻO if the minimum mass for stability extends down to ≲13 M⊙."}],"publication":"The Astrophysical Journal","status":"public","date_published":"2023-01-20T00:00:00Z"},{"publisher":"American Physical Society","publication_status":"published","quality_controlled":"1","project":[{"_id":"23841C26-32DE-11EA-91FC-C7463DDC885E","name":"Non-Ergodic Quantum Matter: Universality, Dynamics and Control","grant_number":"850899","call_identifier":"H2020"}],"department":[{"_id":"MaSe"}],"type":"journal_article","volume":108,"date_created":"2023-08-05T18:25:22Z","scopus_import":"1","oa_version":"Published Version","intvolume":"       108","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Physical Review B","status":"public","date_published":"2023-08-01T00:00:00Z","abstract":[{"text":"The many-body localization (MBL) proximity effect is an intriguing phenomenon where a thermal bath localizes due to the interaction with a disordered system. The interplay of thermal and nonergodic behavior in these systems gives rise to a rich phase diagram, whose exploration is an active field of research. In this paper, we study a bosonic Hubbard model featuring two particle species representing the bath and the disordered system. Using state-of-the-art numerical techniques, we investigate the dynamics of the model in different regimes, based on which we obtain a tentative phase diagram as a function of coupling strength and bath size. When the bath is composed of a single particle, we observe clear signatures of a transition from an MBL proximity effect to a delocalized phase. Increasing the bath size, however, its thermalizing effect becomes stronger and eventually the whole system delocalizes in the range of moderate interaction strengths studied. In this regime, we characterize particle transport, revealing diffusive behavior of the originally localized bosons.","lang":"eng"}],"date_updated":"2023-08-07T09:51:39Z","day":"01","publication_identifier":{"issn":["2469-9950"],"eissn":["2469-9969"]},"external_id":{"arxiv":["2303.16876"]},"doi":"10.1103/physrevb.108.054201","title":"Many-body localization proximity effect in a two-species bosonic Hubbard model","oa":1,"article_processing_charge":"Yes (in subscription journal)","ec_funded":1,"year":"2023","has_accepted_license":"1","ddc":["530"],"arxiv":1,"citation":{"chicago":"Brighi, Pietro, Marko Ljubotina, Dmitry A. Abanin, and Maksym Serbyn. “Many-Body Localization Proximity Effect in a Two-Species Bosonic Hubbard Model.” <i>Physical Review B</i>. American Physical Society, 2023. <a href=\"https://doi.org/10.1103/physrevb.108.054201\">https://doi.org/10.1103/physrevb.108.054201</a>.","ieee":"P. Brighi, M. Ljubotina, D. A. Abanin, and M. Serbyn, “Many-body localization proximity effect in a two-species bosonic Hubbard model,” <i>Physical Review B</i>, vol. 108, no. 5. American Physical Society, 2023.","short":"P. Brighi, M. Ljubotina, D.A. Abanin, M. Serbyn, Physical Review B 108 (2023).","mla":"Brighi, Pietro, et al. “Many-Body Localization Proximity Effect in a Two-Species Bosonic Hubbard Model.” <i>Physical Review B</i>, vol. 108, no. 5, 054201, American Physical Society, 2023, doi:<a href=\"https://doi.org/10.1103/physrevb.108.054201\">10.1103/physrevb.108.054201</a>.","ama":"Brighi P, Ljubotina M, Abanin DA, Serbyn M. Many-body localization proximity effect in a two-species bosonic Hubbard model. <i>Physical Review B</i>. 2023;108(5). doi:<a href=\"https://doi.org/10.1103/physrevb.108.054201\">10.1103/physrevb.108.054201</a>","ista":"Brighi P, Ljubotina M, Abanin DA, Serbyn M. 2023. Many-body localization proximity effect in a two-species bosonic Hubbard model. Physical Review B. 108(5), 054201.","apa":"Brighi, P., Ljubotina, M., Abanin, D. A., &#38; Serbyn, M. (2023). Many-body localization proximity effect in a two-species bosonic Hubbard model. <i>Physical Review B</i>. American Physical Society. <a href=\"https://doi.org/10.1103/physrevb.108.054201\">https://doi.org/10.1103/physrevb.108.054201</a>"},"article_type":"original","file":[{"content_type":"application/pdf","relation":"main_file","file_name":"2023_PhysRevB_Brighi.pdf","creator":"dernst","checksum":"f763000339b5fd543c14377109920690","file_size":3051398,"success":1,"file_id":"13981","access_level":"open_access","date_updated":"2023-08-07T09:48:08Z","date_created":"2023-08-07T09:48:08Z"}],"author":[{"last_name":"Brighi","first_name":"Pietro","id":"4115AF5C-F248-11E8-B48F-1D18A9856A87","full_name":"Brighi, Pietro","orcid":"0000-0002-7969-2729"},{"id":"F75EE9BE-5C90-11EA-905D-16643DDC885E","last_name":"Ljubotina","first_name":"Marko","full_name":"Ljubotina, Marko"},{"first_name":"Dmitry A.","last_name":"Abanin","full_name":"Abanin, Dmitry A."},{"last_name":"Serbyn","first_name":"Maksym","id":"47809E7E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2399-5827","full_name":"Serbyn, Maksym"}],"month":"08","article_number":"054201","file_date_updated":"2023-08-07T09:48:08Z","_id":"13963","language":[{"iso":"eng"}],"acknowledgement":"We thank A. A. Michailidis and A. Mirlin for insightful discussions. P.B., M.L., and M.S. acknowledge support by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant Agreement No. 850899). D.A. was\r\nsupported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant Agreement No. 864597) and by the Swiss National Science Foundation. P.B., M.L., and M.S. acknowledge PRACE for awarding us access to Joliot-Curie at GENCI@CEA, France, where the TEBD simulations were performed. The TEBD simulations were performed using the ITensor library [60].","issue":"5"}]