[{"year":"2024","title":"Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744","citation":{"ista":"Suess KA, Weaver JR, Price SH, Pan R, Wang B, Bezanson R, Brammer G, Cutler SE, Labbé I, Leja J, Williams CC, Whitaker KE, Atek H, Dayal P, De Graaff A, Feldmann R, Franx M, Fudamoto Y, Fujimoto S, Furtak LJ, Goulding AD, Greene JE, Khullar G, Kokorev V, Kriek M, Lorenz B, Marchesini D, Maseda MV, Matthee JJ, Miller TB, Mitsuhashi I, Mowla LA, Muzzin A, Naidu RP, Nanayakkara T, Nelson EJ, Oesch PA, Setton DJ, Shipley H, Smit R, Spilker JS, Van Dokkum P, Zitrin A. 2024. Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744. Astrophysical Journal. 976(1), 101.","mla":"Suess, Katherine A., et al. “Medium Bands, Mega Science: A JWST/NIRCam Medium-Band Imaging Survey of A2744.” <i>Astrophysical Journal</i>, vol. 976, no. 1, 101, IOP Publishing, 2024, doi:<a href=\"https://doi.org/10.3847/1538-4357/ad75fe\">10.3847/1538-4357/ad75fe</a>.","ama":"Suess KA, Weaver JR, Price SH, et al. Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744. <i>Astrophysical Journal</i>. 2024;976(1). doi:<a href=\"https://doi.org/10.3847/1538-4357/ad75fe\">10.3847/1538-4357/ad75fe</a>","chicago":"Suess, Katherine A., John R. Weaver, Sedona H. Price, Richard Pan, Bingjie Wang, Rachel Bezanson, Gabriel Brammer, et al. “Medium Bands, Mega Science: A JWST/NIRCam Medium-Band Imaging Survey of A2744.” <i>Astrophysical Journal</i>. IOP Publishing, 2024. <a href=\"https://doi.org/10.3847/1538-4357/ad75fe\">https://doi.org/10.3847/1538-4357/ad75fe</a>.","short":"K.A. Suess, J.R. Weaver, S.H. Price, R. Pan, B. Wang, R. Bezanson, G. Brammer, S.E. Cutler, I. Labbé, J. Leja, C.C. Williams, K.E. Whitaker, H. Atek, P. Dayal, A. De Graaff, R. Feldmann, M. Franx, Y. Fudamoto, S. Fujimoto, L.J. Furtak, A.D. Goulding, J.E. Greene, G. Khullar, V. Kokorev, M. Kriek, B. Lorenz, D. Marchesini, M.V. Maseda, J.J. Matthee, T.B. Miller, I. Mitsuhashi, L.A. Mowla, A. Muzzin, R.P. Naidu, T. Nanayakkara, E.J. Nelson, P.A. Oesch, D.J. Setton, H. Shipley, R. Smit, J.S. Spilker, P. Van Dokkum, A. Zitrin, Astrophysical Journal 976 (2024).","apa":"Suess, K. A., Weaver, J. R., Price, S. H., Pan, R., Wang, B., Bezanson, R., … Zitrin, A. (2024). Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744. <i>Astrophysical Journal</i>. IOP Publishing. <a href=\"https://doi.org/10.3847/1538-4357/ad75fe\">https://doi.org/10.3847/1538-4357/ad75fe</a>","ieee":"K. A. Suess <i>et al.</i>, “Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744,” <i>Astrophysical Journal</i>, vol. 976, no. 1. IOP Publishing, 2024."},"month":"11","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_published":"2024-11-14T00:00:00Z","researchdata_availability":"yes","abstract":[{"lang":"eng","text":"In this paper, we describe the \"Medium Bands, Mega Science\" JWST Cycle 2 survey (JWST-GO-4111) and demonstrate the power of these data to reveal both the spatially integrated and spatially resolved properties of galaxies from the local Universe to the era of cosmic dawn. Executed in 2023 November, MegaScience obtained ∼30 arcmin2 of deep multiband NIRCam imaging centered on the z ∼ 0.3 A2744 cluster, including 11 medium-band filters and the two shortest-wavelength broadband filters, F070W and F090W. Together, MegaScience and the UNCOVER Cycle 1 treasury program provide a complete set of deep (∼28–30 magAB) images in all NIRCam medium- and broadband filters. This unique data set allows us to precisely constrain photometric redshifts, map stellar populations and dust attenuation for large samples of distant galaxies, and examine the connection between galaxy structures and formation histories. MegaScience also includes ∼17 arcmin2 of NIRISS parallel imaging in two broadband and four medium-band filters from 0.9 to 4.8 μm, expanding the footprint where robust spectral energy distribution (SED) fitting is possible. We provide example SEDs and multiband cutouts at a variety of redshifts, and use a catalog of JWST spectroscopic redshifts to show that MegaScience improves both the scatter and catastrophic outlier rate of photometric redshifts by factors of 2–3. Additionally, we demonstrate the spatially resolved science enabled by MegaScience by presenting maps of the [O iii] line emission and continuum emission in three spectroscopically confirmed z > 6 galaxies. We show that line emission in reionization-era galaxies can be clumpy, extended, and spatially offset from continuum emission, implying that galaxy assembly histories are complex even at these early epochs. We publicly release fully reduced mosaics and photometric catalogs for both the NIRCam primary and NIRISS parallel fields (jwst-uncover.github.io/megascience)."}],"OA_type":"gold","language":[{"iso":"eng"}],"day":"14","department":[{"_id":"JoMa"}],"file_date_updated":"2024-12-10T08:18:53Z","publication_status":"published","external_id":{"arxiv":["2404.13132"],"isi":["001355710500001"]},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"article_number":"101","scopus_import":"1","article_processing_charge":"Yes","OA_place":"publisher","arxiv":1,"DOAJ_listed":"1","oa_version":"Published Version","doi":"10.3847/1538-4357/ad75fe","intvolume":"       976","_id":"18584","status":"public","author":[{"last_name":"Suess","first_name":"Katherine A.","full_name":"Suess, Katherine A."},{"last_name":"Weaver","first_name":"John R.","full_name":"Weaver, John R."},{"last_name":"Price","first_name":"Sedona H.","full_name":"Price, Sedona H."},{"last_name":"Pan","first_name":"Richard","full_name":"Pan, Richard"},{"first_name":"Bingjie","full_name":"Wang, Bingjie","last_name":"Wang"},{"full_name":"Bezanson, Rachel","first_name":"Rachel","last_name":"Bezanson"},{"last_name":"Brammer","full_name":"Brammer, Gabriel","first_name":"Gabriel"},{"last_name":"Cutler","first_name":"Sam E.","full_name":"Cutler, Sam E."},{"first_name":"Ivo","full_name":"Labbé, Ivo","last_name":"Labbé"},{"first_name":"Joel","full_name":"Leja, Joel","last_name":"Leja"},{"last_name":"Williams","first_name":"Christina C.","full_name":"Williams, Christina C."},{"last_name":"Whitaker","first_name":"Katherine E.","full_name":"Whitaker, Katherine E."},{"full_name":"Atek, Hakim","first_name":"Hakim","last_name":"Atek"},{"first_name":"Pratika","full_name":"Dayal, Pratika","last_name":"Dayal"},{"full_name":"De Graaff, Anna","first_name":"Anna","last_name":"De Graaff"},{"last_name":"Feldmann","full_name":"Feldmann, Robert","first_name":"Robert"},{"last_name":"Franx","full_name":"Franx, Marijn","first_name":"Marijn"},{"full_name":"Fudamoto, Yoshinobu","first_name":"Yoshinobu","last_name":"Fudamoto"},{"full_name":"Fujimoto, Seiji","first_name":"Seiji","last_name":"Fujimoto"},{"last_name":"Furtak","first_name":"Lukas J.","full_name":"Furtak, Lukas J."},{"last_name":"Goulding","full_name":"Goulding, Andy D.","first_name":"Andy D."},{"last_name":"Greene","first_name":"Jenny E.","full_name":"Greene, Jenny E."},{"last_name":"Khullar","full_name":"Khullar, Gourav","first_name":"Gourav"},{"first_name":"Vasily","full_name":"Kokorev, Vasily","last_name":"Kokorev"},{"first_name":"Mariska","full_name":"Kriek, Mariska","last_name":"Kriek"},{"full_name":"Lorenz, Brian","first_name":"Brian","last_name":"Lorenz"},{"last_name":"Marchesini","first_name":"Danilo","full_name":"Marchesini, Danilo"},{"full_name":"Maseda, Michael V.","first_name":"Michael V.","last_name":"Maseda"},{"id":"7439a258-f3c0-11ec-9501-9df22fe06720","orcid":"0000-0003-2871-127X","last_name":"Matthee","first_name":"Jorryt J","full_name":"Matthee, Jorryt J"},{"last_name":"Miller","first_name":"Tim B.","full_name":"Miller, Tim B."},{"first_name":"Ikki","full_name":"Mitsuhashi, Ikki","last_name":"Mitsuhashi"},{"last_name":"Mowla","full_name":"Mowla, Lamiya A.","first_name":"Lamiya A."},{"last_name":"Muzzin","first_name":"Adam","full_name":"Muzzin, Adam"},{"last_name":"Naidu","first_name":"Rohan P.","full_name":"Naidu, Rohan P."},{"last_name":"Nanayakkara","full_name":"Nanayakkara, Themiya","first_name":"Themiya"},{"last_name":"Nelson","full_name":"Nelson, Erica J.","first_name":"Erica J."},{"full_name":"Oesch, Pascal A.","first_name":"Pascal A.","last_name":"Oesch"},{"last_name":"Setton","first_name":"David J.","full_name":"Setton, David J."},{"last_name":"Shipley","full_name":"Shipley, Heath","first_name":"Heath"},{"last_name":"Smit","full_name":"Smit, Renske","first_name":"Renske"},{"last_name":"Spilker","first_name":"Justin S.","full_name":"Spilker, Justin S."},{"last_name":"Van Dokkum","first_name":"Pieter","full_name":"Van Dokkum, Pieter"},{"last_name":"Zitrin","first_name":"Adi","full_name":"Zitrin, Adi"}],"quality_controlled":"1","fulldoi":"https://doi.org/10.3847/1538-4357/ad75fe","ddc":["520"],"date_created":"2024-11-24T23:01:48Z","issue":"1","publication":"Astrophysical Journal","das_tickbox":"0","acknowledgement":"K.A.S. thanks Shelly Meyett, the MegaScience Program Coordinator, for invaluable assistance designing WOPR 88967 and ensuring that this program was fully observed. This proposal was conceived of and developed at the International Space Science Institute (ISSI) in Bern, through ISSI International Team project #562. This work is based on observations made with the NASA/ESA/CSA James Webb Space Telescope. The raw data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with JWST Cycle 2 GO program #4111, and this project has gratefully made use of a large number of public JWST programs in the A2744 field including JWST-GO-2641, JWST-ERS-1324, JWST-DD-2756, JWST-GO-2883, JWST-GO-3538, and JWST-GO-3516. Support for program JWST-GO-4111 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Associations of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555.\r\n\r\nThe Cosmic Dawn Center is funded by the Danish National Research Foundation (DNRF) under grant #140. P.D. acknowledges support from the NWO grant 016.VIDI.189.162 (\"ODIN\") and warmly thanks the European Commission's and University of Groningen's CO-FUND Rosalind Franklin program. This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number MB22.00072, as well as from the Swiss National Science Foundation (SNSF) through project grant 200020_207349. The work of C.C.W. is supported by NOIRLab, which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. T.B.M. was supported by a CIERA Fellowship. H.A. is supported by CNES, focused on the JWST mission, and by the Programme National Cosmology and Galaxies (PNCG) of CNRS/INSU with INP and IN2P3, co-funded by CEA and CNES. The BGU lensing group acknowledges support by grant No. 2020750 from the United States–Israel Binational Science Foundation (BSF) and grant No. 2109066 from the United States National Science Foundation (NSF); by the Ministry of Science & Technology, Israel; and by the Israel Science Foundation grant No. 864/23. Y.F. acknowledges support from JSPS KAKENHI grant No. JP22K21349 and JP23K13149. R.P. and D.M. acknowledge funding from JWST-GO-02561.013 and JWST-GO-04111.035.","has_accepted_license":"1","volume":976,"oa":1,"article_type":"original","file":[{"file_id":"18640","file_name":"2024_AstrophysicalJournal_Suess.pdf","date_updated":"2024-12-10T08:18:53Z","date_created":"2024-12-10T08:18:53Z","success":1,"access_level":"open_access","content_type":"application/pdf","file_size":13352667,"checksum":"dcd854acee73ce998d70a4ce634ead6d","relation":"main_file","creator":"dernst"}],"date_updated":"2026-10-15T09:41:08Z","supplementarymaterial":"yes","type":"journal_article","publisher":"IOP Publishing","publication_identifier":{"issn":["0004-637X"],"eissn":["1538-4357"]},"isi":1},{"file":[{"file_id":"18997","file_name":"2024_NeurIPS_Chen.pdf","date_updated":"2025-02-04T13:09:08Z","date_created":"2025-02-04T13:09:08Z","success":1,"access_level":"open_access","content_type":"application/pdf","file_size":5659119,"checksum":"75c3091e70bd2916cd94afbf40a0c425","relation":"main_file","creator":"dernst"}],"supplementarymaterial":"no","date_updated":"2026-10-15T09:44:18Z","type":"conference","publisher":"Neural Information Processing Systems Foundation","publication_identifier":{"eissn":["1049-5258"]},"date_created":"2025-02-04T13:09:34Z","volume":37,"alternative_title":["Advances in Neural Information Processing Systems"],"das_tickbox":"0","publication":"38th Conference on Neural Information Processing Systems","has_accepted_license":"1","oa":1,"conference":{"location":"Vancouver, Canada","end_date":"2024-12-16","start_date":"2024-12-16","name":"NeurIPS: Neural Information Processing Systems"},"external_id":{"arxiv":["2410.24059"]},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"article_processing_charge":"No","OA_place":"repository","arxiv":1,"scopus_import":"1","doi":"10.52202/079017-1343","intvolume":"        37","quality_controlled":"1","_id":"18996","status":"public","author":[{"first_name":"Tianyu","full_name":"Chen, Tianyu","last_name":"Chen"},{"last_name":"Bello","full_name":"Bello, Kevin","first_name":"Kevin"},{"last_name":"Locatello","orcid":"0000-0002-4850-0683","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","full_name":"Locatello, Francesco","first_name":"Francesco"},{"first_name":"Bryon","full_name":"Aragam, Bryon","last_name":"Aragam"},{"first_name":"Pradeep Kumar","full_name":"Ravikumar, Pradeep Kumar","last_name":"Ravikumar"}],"oa_version":"Published Version","ddc":["000"],"fulldoi":"https://doi.org/10.52202/079017-1343","year":"2024","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","researchdata_availability":"no","date_published":"2024-09-25T00:00:00Z","abstract":[{"lang":"eng","text":"We consider the linear causal representation learning setting where we observe a linear mixing of d unknown latent factors, which follow a linear structural causal model. Recent work has shown that it is possible to recover the latent factors as well as the underlying structural causal model over them, up to permutation and scaling, provided that we have at least d environments, each of which corresponds to perfect interventions on a single latent node (factor). After this powerful result, a key open problem faced by the community has been to relax these conditions: allow for coarser than perfect single-node interventions, and allow for fewer than d of them, since the number of latent factors d could be very large. In this work, we consider precisely such a setting, where we allow a smaller than d number of environments, and also allow for very coarse interventions that can very coarsely \\textit{change the entire causal graph over the latent factors}. On the flip side, we relax what we wish to extract to simply the \\textit{list of nodes that have shifted between one or more environments}. We provide a surprising identifiability result that it is indeed possible, under some very mild standard assumptions, to identify the set of shifted nodes. Our identifiability proof moreover is a constructive one: we explicitly provide necessary and sufficient conditions for a node to be a shifted node, and show that we can check these conditions given observed data. Our algorithm lends itself very naturally to the sample setting where instead of just interventional distributions, we are provided datasets of samples from each of these distributions. We corroborate our results on both synthetic experiments as well as an interesting psychometric dataset. The code can be found at https://github.com/TianyuCodings/iLCS."}],"citation":{"mla":"Chen, Tianyu, et al. “Identifying General Mechanism Shifts in Linear Causal Representations.” <i>38th Conference on Neural Information Processing Systems</i>, vol. 37, Neural Information Processing Systems Foundation, 2024, doi:<a href=\"https://doi.org/10.52202/079017-1343\">10.52202/079017-1343</a>.","ista":"Chen T, Bello K, Locatello F, Aragam B, Ravikumar PK. 2024. Identifying general mechanism shifts in linear causal representations. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.","chicago":"Chen, Tianyu, Kevin Bello, Francesco Locatello, Bryon Aragam, and Pradeep Kumar Ravikumar. “Identifying General Mechanism Shifts in Linear Causal Representations.” In <i>38th Conference on Neural Information Processing Systems</i>, Vol. 37. Neural Information Processing Systems Foundation, 2024. <a href=\"https://doi.org/10.52202/079017-1343\">https://doi.org/10.52202/079017-1343</a>.","ama":"Chen T, Bello K, Locatello F, Aragam B, Ravikumar PK. Identifying general mechanism shifts in linear causal representations. In: <i>38th Conference on Neural Information Processing Systems</i>. Vol 37. Neural Information Processing Systems Foundation; 2024. doi:<a href=\"https://doi.org/10.52202/079017-1343\">10.52202/079017-1343</a>","short":"T. Chen, K. Bello, F. Locatello, B. Aragam, P.K. Ravikumar, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","apa":"Chen, T., Bello, K., Locatello, F., Aragam, B., &#38; Ravikumar, P. K. (2024). Identifying general mechanism shifts in linear causal representations. In <i>38th Conference on Neural Information Processing Systems</i> (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation. <a href=\"https://doi.org/10.52202/079017-1343\">https://doi.org/10.52202/079017-1343</a>","ieee":"T. Chen, K. Bello, F. Locatello, B. Aragam, and P. K. Ravikumar, “Identifying general mechanism shifts in linear causal representations,” in <i>38th Conference on Neural Information Processing Systems</i>, Vancouver, Canada, 2024, vol. 37."},"month":"09","title":"Identifying general mechanism shifts in linear causal representations","day":"25","language":[{"iso":"eng"}],"OA_type":"green","publication_status":"published","department":[{"_id":"FrLo"}],"file_date_updated":"2025-02-04T13:09:08Z"},{"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"external_id":{"pmid":["38187995"],"arxiv":["2203.04579"]},"scopus_import":"1","arxiv":1,"article_processing_charge":"Yes (via OA deal)","oa_version":"Published Version","corr_author":"1","status":"public","_id":"14451","author":[{"last_name":"Cornalba","orcid":"0000-0002-6269-5149","id":"2CEB641C-A400-11E9-A717-D712E6697425","full_name":"Cornalba, Federico","first_name":"Federico"},{"last_name":"Disselkamp","full_name":"Disselkamp, Constantin","first_name":"Constantin"},{"full_name":"Scassola, Davide","first_name":"Davide","last_name":"Scassola"},{"first_name":"Christopher","full_name":"Helf, Christopher","last_name":"Helf"}],"quality_controlled":"1","doi":"10.1007/s00521-023-09033-7","intvolume":"        36","fulldoi":"https://doi.org/10.1007/s00521-023-09033-7","ddc":["000"],"year":"2024","citation":{"mla":"Cornalba, Federico, et al. “Multi-Objective Reward Generalization: Improving Performance of Deep Reinforcement Learning for Applications in Single-Asset Trading.” <i>Neural Computing and Applications</i>, vol. 36, no. 2, Springer Nature, 2024, pp. 617–37, doi:<a href=\"https://doi.org/10.1007/s00521-023-09033-7\">10.1007/s00521-023-09033-7</a>.","ista":"Cornalba F, Disselkamp C, Scassola D, Helf C. 2024. Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural Computing and Applications. 36(2), 617–637.","ama":"Cornalba F, Disselkamp C, Scassola D, Helf C. Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading. <i>Neural Computing and Applications</i>. 2024;36(2):617-637. doi:<a href=\"https://doi.org/10.1007/s00521-023-09033-7\">10.1007/s00521-023-09033-7</a>","chicago":"Cornalba, Federico, Constantin Disselkamp, Davide Scassola, and Christopher Helf. “Multi-Objective Reward Generalization: Improving Performance of Deep Reinforcement Learning for Applications in Single-Asset Trading.” <i>Neural Computing and Applications</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s00521-023-09033-7\">https://doi.org/10.1007/s00521-023-09033-7</a>.","ieee":"F. Cornalba, C. Disselkamp, D. Scassola, and C. Helf, “Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading,” <i>Neural Computing and Applications</i>, vol. 36, no. 2. Springer Nature, pp. 617–637, 2024.","short":"F. Cornalba, C. Disselkamp, D. Scassola, C. Helf, Neural Computing and Applications 36 (2024) 617–637.","apa":"Cornalba, F., Disselkamp, C., Scassola, D., &#38; Helf, C. (2024). Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading. <i>Neural Computing and Applications</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00521-023-09033-7\">https://doi.org/10.1007/s00521-023-09033-7</a>"},"title":"Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading","month":"01","abstract":[{"text":"We investigate the potential of Multi-Objective, Deep Reinforcement Learning for stock and cryptocurrency single-asset trading: in particular, we consider a Multi-Objective algorithm which generalizes the reward functions and discount factor (i.e., these components are not specified a priori, but incorporated in the learning process). Firstly, using several important assets (BTCUSD, ETHUSDT, XRPUSDT, AAPL, SPY, NIFTY50), we verify the reward generalization property of the proposed Multi-Objective algorithm, and provide preliminary statistical evidence showing increased predictive stability over the corresponding Single-Objective strategy. Secondly, we show that the Multi-Objective algorithm has a clear edge over the corresponding Single-Objective strategy when the reward mechanism is sparse (i.e., when non-null feedback is infrequent over time). Finally, we discuss the generalization properties with respect to the discount factor. The entirety of our code is provided in open-source format.","lang":"eng"}],"researchdata_availability":"yes","date_published":"2024-01-01T00:00:00Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","project":[{"grant_number":"F6504","name":"Taming Complexity in Partial Differential Systems","_id":"fc31cba2-9c52-11eb-aca3-ff467d239cd2"},{"name":"ISTplus - Postdoctoral Fellowships","_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411","call_identifier":"H2020"}],"day":"01","language":[{"iso":"eng"}],"file_date_updated":"2024-07-16T08:08:54Z","department":[{"_id":"JuFi"}],"publication_status":"published","article_type":"original","file":[{"access_level":"open_access","success":1,"file_size":4412285,"content_type":"application/pdf","checksum":"04573d8e74c6119b97c2ca0a984e19a1","creator":"dernst","relation":"main_file","file_name":"2024_NeuralCompApplications_Cornalba.pdf","file_id":"17251","date_updated":"2024-07-16T08:08:54Z","date_created":"2024-07-16T08:08:54Z"}],"date_updated":"2026-10-15T09:42:15Z","supplementarymaterial":"no","publisher":"Springer Nature","type":"journal_article","page":"617-637","publication_identifier":{"eissn":["1433-3058"],"issn":["0941-0643"]},"pmid":1,"issue":"2","date_created":"2023-10-22T22:01:16Z","acknowledgement":"Open access funding provided by Università degli Studi di Trieste within the CRUI-CARE Agreement. Funding was provided by Austrian Science Fund (Grant No. F65), Horizon 2020 (Grant No. 754411) and Österreichische Forschungsförderungsgesellschaft.","has_accepted_license":"1","publication":"Neural Computing and Applications","das_tickbox":"1","volume":36,"ec_funded":1,"dataavailabilitystatement":"All datasets and the entire source code used in this paper are available in open-source format at the repository https://github.com/trality/fire . In particular, the instructions for reproducibility are contained in the README.md file therein.","oa":1},{"ec_funded":1,"volume":248,"das_tickbox":"1","publication":"Archive for Rational Mechanics and Analysis","acknowledgement":"J. Fischer and M. Moser have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 948819).\r\nOpen Access funding enabled and organized by Projekt DEAL.","has_accepted_license":"1","date_created":"2024-09-08T22:01:10Z","issue":"5","oa":1,"dataavailabilitystatement":"There is no associated data to the manuscript.","supplementarymaterial":"no","date_updated":"2026-10-15T09:44:17Z","file":[{"date_updated":"2024-09-09T08:43:32Z","file_id":"17938","file_name":"2024_ArchiveRatAnalysis_Abels.pdf","date_created":"2024-09-09T08:43:32Z","file_size":811131,"content_type":"application/pdf","access_level":"open_access","success":1,"creator":"dernst","relation":"main_file","checksum":"98493a05b84e4513b6394dfad4851ddf"}],"article_type":"original","pmid":1,"isi":1,"publication_identifier":{"issn":["0003-9527"],"eissn":["1432-0673"]},"type":"journal_article","publisher":"Springer Nature","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_published":"2024-09-03T00:00:00Z","researchdata_availability":"not applicable","abstract":[{"text":"We show convergence of the Navier-Stokes/Allen-Cahn system to a classical sharp interface model for the two-phase flow of two viscous incompressible fluids with same viscosities in a smooth bounded domain in two and three space dimensions as long as a smooth solution of the limit system exists. Moreover, we obtain error estimates with the aid of a relative entropy method. Our results hold provided that the mobility  mε>0  in the Allen-Cahn equation tends to zero in a subcritical way, i.e.,  mε=m0εβ  for some  β∈(0,2)  and  m0>0 . The proof proceeds by showing via a relative entropy argument that the solution to the Navier-Stokes/Allen-Cahn system remains close to the solution of a perturbed version of the two-phase flow problem, augmented by an extra mean curvature flow term  mεHΓt  in the interface motion. In a second step, it is easy to see that the solution to the perturbed problem is close to the original two-phase flow.","lang":"eng"}],"month":"09","citation":{"ista":"Abels H, Fischer JL, Moser M. 2024. Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system. Archive for Rational Mechanics and Analysis. 248(5), 77.","mla":"Abels, Helmut, et al. “Approximation of Classical Two-Phase Flows of Viscous Incompressible Fluids by a Navier–Stokes/Allen–Cahn System.” <i>Archive for Rational Mechanics and Analysis</i>, vol. 248, no. 5, 77, Springer Nature, 2024, doi:<a href=\"https://doi.org/10.1007/s00205-024-02020-9\">10.1007/s00205-024-02020-9</a>.","short":"H. Abels, J.L. Fischer, M. Moser, Archive for Rational Mechanics and Analysis 248 (2024).","ieee":"H. Abels, J. L. Fischer, and M. Moser, “Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system,” <i>Archive for Rational Mechanics and Analysis</i>, vol. 248, no. 5. Springer Nature, 2024.","apa":"Abels, H., Fischer, J. L., &#38; Moser, M. (2024). Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system. <i>Archive for Rational Mechanics and Analysis</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00205-024-02020-9\">https://doi.org/10.1007/s00205-024-02020-9</a>","ama":"Abels H, Fischer JL, Moser M. Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system. <i>Archive for Rational Mechanics and Analysis</i>. 2024;248(5). doi:<a href=\"https://doi.org/10.1007/s00205-024-02020-9\">10.1007/s00205-024-02020-9</a>","chicago":"Abels, Helmut, Julian L Fischer, and Maximilian Moser. “Approximation of Classical Two-Phase Flows of Viscous Incompressible Fluids by a Navier–Stokes/Allen–Cahn System.” <i>Archive for Rational Mechanics and Analysis</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s00205-024-02020-9\">https://doi.org/10.1007/s00205-024-02020-9</a>."},"title":"Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system","year":"2024","publication_status":"published","department":[{"_id":"JuFi"}],"file_date_updated":"2024-09-09T08:43:32Z","day":"03","language":[{"iso":"eng"}],"project":[{"grant_number":"948819","call_identifier":"H2020","_id":"0aa76401-070f-11eb-9043-b5bb049fa26d","name":"Bridging Scales in Random Materials"}],"article_processing_charge":"Yes (via OA deal)","arxiv":1,"scopus_import":"1","external_id":{"arxiv":["2311.02997"],"pmid":["39239088"],"isi":["001305530600001"]},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"article_number":"77","ddc":["510"],"fulldoi":"https://doi.org/10.1007/s00205-024-02020-9","doi":"10.1007/s00205-024-02020-9","intvolume":"       248","author":[{"first_name":"Helmut","full_name":"Abels, Helmut","last_name":"Abels"},{"first_name":"Julian L","full_name":"Fischer, Julian L","id":"2C12A0B0-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-0479-558X","last_name":"Fischer"},{"full_name":"Moser, Maximilian","first_name":"Maximilian","last_name":"Moser","id":"a60047a9-da77-11eb-85b4-c4dc385ebb8c"}],"_id":"17887","status":"public","quality_controlled":"1","oa_version":"Published Version"},{"project":[{"grant_number":"948819","call_identifier":"H2020","_id":"0aa76401-070f-11eb-9043-b5bb049fa26d","name":"Bridging Scales in Random Materials"}],"language":[{"iso":"eng"}],"day":"01","file_date_updated":"2024-07-22T09:21:09Z","department":[{"_id":"JuFi"}],"publication_status":"published","year":"2024","month":"04","title":"The critical variational setting for stochastic evolution equations","citation":{"ista":"Agresti A, Veraar M. 2024. The critical variational setting for stochastic evolution equations. Probability Theory and Related Fields. 188, 957–1015.","mla":"Agresti, Antonio, and Mark Veraar. “The Critical Variational Setting for Stochastic Evolution Equations.” <i>Probability Theory and Related Fields</i>, vol. 188, Springer Nature, 2024, pp. 957–1015, doi:<a href=\"https://doi.org/10.1007/s00440-023-01249-x\">10.1007/s00440-023-01249-x</a>.","ama":"Agresti A, Veraar M. The critical variational setting for stochastic evolution equations. <i>Probability Theory and Related Fields</i>. 2024;188:957-1015. doi:<a href=\"https://doi.org/10.1007/s00440-023-01249-x\">10.1007/s00440-023-01249-x</a>","chicago":"Agresti, Antonio, and Mark Veraar. “The Critical Variational Setting for Stochastic Evolution Equations.” <i>Probability Theory and Related Fields</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s00440-023-01249-x\">https://doi.org/10.1007/s00440-023-01249-x</a>.","short":"A. Agresti, M. Veraar, Probability Theory and Related Fields 188 (2024) 957–1015.","apa":"Agresti, A., &#38; Veraar, M. (2024). The critical variational setting for stochastic evolution equations. <i>Probability Theory and Related Fields</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00440-023-01249-x\">https://doi.org/10.1007/s00440-023-01249-x</a>","ieee":"A. Agresti and M. Veraar, “The critical variational setting for stochastic evolution equations,” <i>Probability Theory and Related Fields</i>, vol. 188. Springer Nature, pp. 957–1015, 2024."},"abstract":[{"text":"In this paper we introduce the critical variational setting for parabolic stochastic evolution equations of quasi- or semi-linear type. Our results improve many of the abstract results in the classical variational setting. In particular, we are able to replace the usual weak or local monotonicity condition by a more flexible local Lipschitz condition. Moreover, the usual growth conditions on the multiplicative noise are weakened considerably. Our new setting provides general conditions under which local and global existence and uniqueness hold. Moreover, we prove continuous dependence on the initial data. We show that many classical SPDEs, which could not be covered by the classical variational setting, do fit in the critical variational setting. In particular, this is the case for the Cahn-Hilliard equations, tamed Navier-Stokes equations, and Allen-Cahn equation.","lang":"eng"}],"researchdata_availability":"not applicable","date_published":"2024-04-01T00:00:00Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","oa_version":"Published Version","_id":"12485","author":[{"full_name":"Agresti, Antonio","first_name":"Antonio","last_name":"Agresti","id":"673cd0cc-9b9a-11eb-b144-88f30e1fbb72","orcid":"0000-0002-9573-2962"},{"first_name":"Mark","full_name":"Veraar, Mark","last_name":"Veraar"}],"status":"public","quality_controlled":"1","doi":"10.1007/s00440-023-01249-x","intvolume":"       188","fulldoi":"https://doi.org/10.1007/s00440-023-01249-x","ddc":["510"],"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"external_id":{"isi":["001154226500001"],"arxiv":["2206.00230"]},"scopus_import":"1","arxiv":1,"article_processing_charge":"Yes (in subscription journal)","dataavailabilitystatement":"Data sharing not applicable to this article as no datasets were generated or analysed during the current study.","oa":1,"date_created":"2023-02-02T10:45:15Z","acknowledgement":"The first author has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 948819) . The second author is supported by the VICI subsidy VI.C.212.027 of the Netherlands Organisation for Scientific Research (NWO).","has_accepted_license":"1","das_tickbox":"1","publication":"Probability Theory and Related Fields","volume":188,"ec_funded":1,"publisher":"Springer Nature","type":"journal_article","page":"957-1015","publication_identifier":{"eissn":["1432-2064"],"issn":["0178-8051"]},"isi":1,"article_type":"original","file":[{"content_type":"application/pdf","file_size":942801,"success":1,"access_level":"open_access","relation":"main_file","creator":"dernst","checksum":"b8572339dbc5b8de4934dc5fd34afc7d","date_updated":"2024-07-22T09:21:09Z","file_id":"17296","file_name":"2024_ProbTheory_Agresti.pdf","date_created":"2024-07-22T09:21:09Z"}],"date_updated":"2026-10-15T09:45:31Z","supplementarymaterial":"no"},{"department":[{"_id":"JuFi"}],"file_date_updated":"2024-07-22T09:29:48Z","publication_status":"published","day":"01","language":[{"iso":"eng"}],"citation":{"short":"A. Agresti, M. Hieber, A. Hussein, M. Saal, Stochastics and Partial Differential Equations: Analysis and Computations 12 (2024) 53–133.","ieee":"A. Agresti, M. Hieber, A. Hussein, and M. Saal, “The stochastic primitive equations with transport noise and turbulent pressure,” <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>, vol. 12. Springer Nature, pp. 53–133, 2024.","apa":"Agresti, A., Hieber, M., Hussein, A., &#38; Saal, M. (2024). The stochastic primitive equations with transport noise and turbulent pressure. <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s40072-022-00277-3\">https://doi.org/10.1007/s40072-022-00277-3</a>","chicago":"Agresti, Antonio, Matthias Hieber, Amru Hussein, and Martin Saal. “The Stochastic Primitive Equations with Transport Noise and Turbulent Pressure.” <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s40072-022-00277-3\">https://doi.org/10.1007/s40072-022-00277-3</a>.","ama":"Agresti A, Hieber M, Hussein A, Saal M. The stochastic primitive equations with transport noise and turbulent pressure. <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>. 2024;12:53-133. doi:<a href=\"https://doi.org/10.1007/s40072-022-00277-3\">10.1007/s40072-022-00277-3</a>","ista":"Agresti A, Hieber M, Hussein A, Saal M. 2024. The stochastic primitive equations with transport noise and turbulent pressure. Stochastics and Partial Differential Equations: Analysis and Computations. 12, 53–133.","mla":"Agresti, Antonio, et al. “The Stochastic Primitive Equations with Transport Noise and Turbulent Pressure.” <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>, vol. 12, Springer Nature, 2024, pp. 53–133, doi:<a href=\"https://doi.org/10.1007/s40072-022-00277-3\">10.1007/s40072-022-00277-3</a>."},"title":"The stochastic primitive equations with transport noise and turbulent pressure","month":"03","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","researchdata_availability":"not applicable","abstract":[{"text":"In this paper we consider the stochastic primitive equation for geophysical flows subject to transport noise and turbulent pressure. Admitting very rough noise terms, the global existence and uniqueness of solutions to this stochastic partial differential equation are proven using stochastic maximal L² regularity, the theory of critical spaces for stochastic evolution equations, and global a priori bounds. Compared to other results in this direction, we do not need any smallness assumption on the transport noise which acts directly on the velocity field and we also allow rougher noise terms. The adaptation to Stratonovich type noise and, more generally, to variable viscosity and/or conductivity are discussed as well.","lang":"eng"}],"date_published":"2024-03-01T00:00:00Z","year":"2024","fulldoi":"https://doi.org/10.1007/s40072-022-00277-3","ddc":["510"],"oa_version":"Published Version","doi":"10.1007/s40072-022-00277-3","intvolume":"        12","status":"public","_id":"12178","author":[{"first_name":"Antonio","full_name":"Agresti, Antonio","orcid":"0000-0002-9573-2962","id":"673cd0cc-9b9a-11eb-b144-88f30e1fbb72","last_name":"Agresti"},{"last_name":"Hieber","first_name":"Matthias","full_name":"Hieber, Matthias"},{"full_name":"Hussein, Amru","first_name":"Amru","last_name":"Hussein"},{"last_name":"Saal","first_name":"Martin","full_name":"Saal, Martin"}],"quality_controlled":"1","scopus_import":"1","article_processing_charge":"Yes (via OA deal)","arxiv":1,"external_id":{"isi":["000874389000001"],"arxiv":["2109.09561"]},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"dataavailabilitystatement":"This manuscript has no associated data.","oa":1,"publication":"Stochastics and Partial Differential Equations: Analysis and Computations","das_tickbox":"1","has_accepted_license":"1","acknowledgement":"The authors thank the anonymous referees for their helpful comments and suggestions. Open Access funding enabled and organized by Projekt DEAL.","volume":12,"date_created":"2023-01-12T12:12:29Z","isi":1,"publication_identifier":{"eissn":["2194-041X"],"issn":["2194-0401"]},"type":"journal_article","publisher":"Springer Nature","keyword":["Applied Mathematics","Modeling and Simulation","Statistics and Probability"],"page":"53-133","date_updated":"2026-10-15T09:44:54Z","supplementarymaterial":"yes","article_type":"original","file":[{"checksum":"59c9000761134d681bdf9d482664044c","relation":"main_file","creator":"dernst","success":1,"access_level":"open_access","content_type":"application/pdf","file_size":1206413,"date_created":"2024-07-22T09:29:48Z","file_id":"17297","file_name":"2024_StochasticsEquations_Agresti.pdf","date_updated":"2024-07-22T09:29:48Z"}]},{"article_type":"original","date_updated":"2026-10-15T09:43:41Z","supplementarymaterial":"yes","type":"journal_article","publisher":"Society for Industrial and Applied Mathematics","page":"4870-4927","isi":1,"publication_identifier":{"issn":["0036-1410"],"eissn":["1095-7154"]},"date_created":"2024-08-04T22:01:21Z","issue":"4","publication":"SIAM Journal on Mathematical Analysis","das_tickbox":"0","acknowledgement":"The first author’s research was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme grant 948819. . The second author’s research was supported by the VICI subsidy VI.C.212.027 of the Netherlands Organisation for Scientific Research (NWO).","ec_funded":1,"volume":56,"oa":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2301.06897"}],"external_id":{"isi":["001315424500021"],"arxiv":["2301.06897"]},"scopus_import":"1","article_processing_charge":"No","arxiv":1,"corr_author":"1","oa_version":"Preprint","intvolume":"        56","doi":"10.1137/23M1562482","_id":"17372","status":"public","quality_controlled":"1","author":[{"id":"673cd0cc-9b9a-11eb-b144-88f30e1fbb72","orcid":"0000-0002-9573-2962","last_name":"Agresti","first_name":"Antonio","full_name":"Agresti, Antonio"},{"full_name":"Veraar, Mark","first_name":"Mark","last_name":"Veraar"}],"fulldoi":"https://doi.org/10.1137/23M1562482","year":"2024","month":"08","title":"Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems","citation":{"mla":"Agresti, Antonio, and Mark Veraar. “Reaction-Diffusion Equations with Transport Noise and Critical Superlinear Diffusion: Global Well-Posedness of Weakly Dissipative Systems.” <i>SIAM Journal on Mathematical Analysis</i>, vol. 56, no. 4, Society for Industrial and Applied Mathematics, 2024, pp. 4870–927, doi:<a href=\"https://doi.org/10.1137/23M1562482\">10.1137/23M1562482</a>.","ista":"Agresti A, Veraar M. 2024. Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems. SIAM Journal on Mathematical Analysis. 56(4), 4870–4927.","ama":"Agresti A, Veraar M. Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems. <i>SIAM Journal on Mathematical Analysis</i>. 2024;56(4):4870-4927. doi:<a href=\"https://doi.org/10.1137/23M1562482\">10.1137/23M1562482</a>","chicago":"Agresti, Antonio, and Mark Veraar. “Reaction-Diffusion Equations with Transport Noise and Critical Superlinear Diffusion: Global Well-Posedness of Weakly Dissipative Systems.” <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial and Applied Mathematics, 2024. <a href=\"https://doi.org/10.1137/23M1562482\">https://doi.org/10.1137/23M1562482</a>.","short":"A. Agresti, M. Veraar, SIAM Journal on Mathematical Analysis 56 (2024) 4870–4927.","apa":"Agresti, A., &#38; Veraar, M. (2024). Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems. <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial and Applied Mathematics. <a href=\"https://doi.org/10.1137/23M1562482\">https://doi.org/10.1137/23M1562482</a>","ieee":"A. Agresti and M. Veraar, “Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems,” <i>SIAM Journal on Mathematical Analysis</i>, vol. 56, no. 4. Society for Industrial and Applied Mathematics, pp. 4870–4927, 2024."},"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","researchdata_availability":"no","abstract":[{"text":"In this paper, we investigate the global well-posedness of reaction-diffusion systems with transport noise on the  d-dimensional torus. We show new global well-posedness results for a large class of scalar equations (e.g. the Allen-Cahn equation), and dissipative systems (e.g. equations in coagulation dynamics). Moreover, we prove global well-posedness for two weakly dissipative systems: Lotka-Volterra equations for  d∈{1,2,3,4}  and the Brusselator for  d∈{1,2,3}. Many of the results are also new without transport noise. The proofs are based on maximal regularity techniques, positivity results, and sharp blow-up criteria developed in our recent works, combined with energy estimates based on Itô's formula and stochastic Gronwall inequalities. Key novelties include the introduction of new  Lζ -coercivity/dissipativity conditions and the development of an  Lp(Lq) -framework for systems of reaction-diffusion equations, which are needed when treating dimensions  d∈{2,3}  in the case of cubic or higher order nonlinearities.","lang":"eng"}],"date_published":"2024-08-01T00:00:00Z","language":[{"iso":"eng"}],"day":"01","project":[{"grant_number":"948819","call_identifier":"H2020","_id":"0aa76401-070f-11eb-9043-b5bb049fa26d","name":"Bridging Scales in Random Materials"}],"department":[{"_id":"JuFi"}],"publication_status":"published"},{"isi":1,"publication_identifier":{"issn":["0938-8974"],"eissn":["1432-1467"]},"publisher":"Springer Nature","type":"journal_article","supplementarymaterial":"no","date_updated":"2026-10-15T09:46:00Z","article_type":"original","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2306.05151","open_access":"1"}],"oa":1,"dataavailabilitystatement":"Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.","volume":34,"acknowledgement":"All authors acknowledge support of the Austrian Science Fund (FWF) through the SFB project F65. The research of E. Davoli and L. D’Elia has additionally been supported by the FWF through grants V662, Y1292, and P35359, as well as from OeAD through the WTZ grant CZ09/2023.","publication":"Journal of Nonlinear Science","das_tickbox":"1","issue":"2","date_created":"2024-01-28T23:01:42Z","fulldoi":"https://doi.org/10.1007/s00332-023-10005-3","_id":"14884","status":"public","quality_controlled":"1","author":[{"last_name":"Davoli","first_name":"Elisa","full_name":"Davoli, Elisa"},{"full_name":"D’Elia, Lorenza","first_name":"Lorenza","last_name":"D’Elia"},{"first_name":"Jonas","full_name":"Ingmanns, Jonas","orcid":"0009-0008-1310-7946","id":"71523d30-15b2-11ec-abd3-f80aa909d6b0","last_name":"Ingmanns"}],"doi":"10.1007/s00332-023-10005-3","intvolume":"        34","oa_version":"Preprint","arxiv":1,"article_processing_charge":"No","scopus_import":"1","article_number":"30","external_id":{"arxiv":["2306.05151"],"isi":["001147480200001"]},"publication_status":"published","department":[{"_id":"JuFi"}],"project":[{"name":"Taming Complexity in Partial Differential Systems","_id":"fc31cba2-9c52-11eb-aca3-ff467d239cd2","grant_number":"F6504"}],"language":[{"iso":"eng"}],"day":"23","date_published":"2024-01-23T00:00:00Z","researchdata_availability":"not applicable","abstract":[{"lang":"eng","text":"We perform a stochastic homogenization analysis for composite materials exhibiting a random microstructure. Under the assumptions of stationarity and ergodicity, we characterize the Gamma-limit of a micromagnetic energy functional defined on magnetizations taking value in the unit sphere and including both symmetric and antisymmetric exchange contributions. This Gamma-limit corresponds to a micromagnetic energy functional with homogeneous coefficients. We provide explicit formulas for the effective magnetic properties of the composite material in terms of homogenization correctors. Additionally, the variational analysis of the two exchange energy terms is performed in the more general setting of functionals defined on manifold-valued maps with Sobolev regularity, in the case in which the target manifold is a bounded, orientable smooth surface with tubular neighborhood of uniform thickness. Eventually, we present an explicit characterization of minimizers of the effective exchange in the case of magnetic multilayers, providing quantitative evidence of Dzyaloshinskii’s predictions on the emergence of helical structures in composite ferromagnetic materials with stochastic microstructure."}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","month":"01","citation":{"ieee":"E. Davoli, L. D’Elia, and J. Ingmanns, “Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions,” <i>Journal of Nonlinear Science</i>, vol. 34, no. 2. Springer Nature, 2024.","apa":"Davoli, E., D’Elia, L., &#38; Ingmanns, J. (2024). Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions. <i>Journal of Nonlinear Science</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00332-023-10005-3\">https://doi.org/10.1007/s00332-023-10005-3</a>","short":"E. Davoli, L. D’Elia, J. Ingmanns, Journal of Nonlinear Science 34 (2024).","ama":"Davoli E, D’Elia L, Ingmanns J. Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions. <i>Journal of Nonlinear Science</i>. 2024;34(2). doi:<a href=\"https://doi.org/10.1007/s00332-023-10005-3\">10.1007/s00332-023-10005-3</a>","chicago":"Davoli, Elisa, Lorenza D’Elia, and Jonas Ingmanns. “Stochastic Homogenization of Micromagnetic Energies and Emergence of Magnetic Skyrmions.” <i>Journal of Nonlinear Science</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s00332-023-10005-3\">https://doi.org/10.1007/s00332-023-10005-3</a>.","ista":"Davoli E, D’Elia L, Ingmanns J. 2024. Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions. Journal of Nonlinear Science. 34(2), 30.","mla":"Davoli, Elisa, et al. “Stochastic Homogenization of Micromagnetic Energies and Emergence of Magnetic Skyrmions.” <i>Journal of Nonlinear Science</i>, vol. 34, no. 2, 30, Springer Nature, 2024, doi:<a href=\"https://doi.org/10.1007/s00332-023-10005-3\">10.1007/s00332-023-10005-3</a>."},"title":"Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions","year":"2024"},{"year":"2024","month":"12","title":"Marrying causal representation learning with dynamical systems for science","citation":{"ama":"Yao D, Muller CJ, Locatello F. Marrying causal representation learning with dynamical systems for science. In: <i>38th Conference on Neural Information Processing Systems</i>. Vol 37. Neural Information Processing Systems Foundation; 2024. doi:<a href=\"https://doi.org/10.52202/079017-2290\">10.52202/079017-2290</a>","chicago":"Yao, Dingling, Caroline J Muller, and Francesco Locatello. “Marrying Causal Representation Learning with Dynamical Systems for Science.” In <i>38th Conference on Neural Information Processing Systems</i>, Vol. 37. Neural Information Processing Systems Foundation, 2024. <a href=\"https://doi.org/10.52202/079017-2290\">https://doi.org/10.52202/079017-2290</a>.","ieee":"D. Yao, C. J. Muller, and F. Locatello, “Marrying causal representation learning with dynamical systems for science,” in <i>38th Conference on Neural Information Processing Systems</i>, Vancouver, Canada, 2024, vol. 37.","short":"D. Yao, C.J. Muller, F. Locatello, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","apa":"Yao, D., Muller, C. J., &#38; Locatello, F. (2024). Marrying causal representation learning with dynamical systems for science. In <i>38th Conference on Neural Information Processing Systems</i> (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation. <a href=\"https://doi.org/10.52202/079017-2290\">https://doi.org/10.52202/079017-2290</a>","ista":"Yao D, Muller CJ, Locatello F. 2024. Marrying causal representation learning with dynamical systems for science. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.","mla":"Yao, Dingling, et al. “Marrying Causal Representation Learning with Dynamical Systems for Science.” <i>38th Conference on Neural Information Processing Systems</i>, vol. 37, Neural Information Processing Systems Foundation, 2024, doi:<a href=\"https://doi.org/10.52202/079017-2290\">10.52202/079017-2290</a>."},"researchdata_availability":"no","date_published":"2024-12-01T00:00:00Z","abstract":[{"lang":"eng","text":"Causal representation learning promises to extend causal models to hidden causal\r\nvariables from raw entangled measurements. However, most progress has focused\r\non proving identifiability results in different settings, and we are not aware of any\r\nsuccessful real-world application. At the same time, the field of dynamical systems\r\nbenefited from deep learning and scaled to countless applications but does not allow\r\nparameter identification. In this paper, we draw a clear connection between the two\r\nand their key assumptions, allowing us to apply identifiable methods developed\r\nin causal representation learning to dynamical systems. At the same time, we can\r\nleverage scalable differentiable solvers developed for differential equations to build\r\nmodels that are both identifiable and practical. Overall, we learn explicitly controllable models that isolate the trajectory-specific parameters for further downstream\r\ntasks such as out-of-distribution classification or treatment effect estimation. We\r\nexperiment with a wind simulator with partially known factors of variation. We\r\nalso apply the resulting model to real-world climate data and successfully answer\r\ndownstream causal questions in line with existing literature on climate change.\r\nCode is available at https://github.com/CausalLearningAI/crl-dynamical-systems."}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","OA_type":"free access","language":[{"iso":"eng"}],"day":"01","file_date_updated":"2025-02-05T07:44:58Z","department":[{"_id":"CaMu"},{"_id":"FrLo"}],"publication_status":"published","external_id":{"arxiv":["2405.13888"]},"conference":{"name":"NeurIPS: Neural Information Processing Systems","start_date":"2024-12-16","location":"Vancouver, Canada","end_date":"2024-12-16"},"scopus_import":"1","arxiv":1,"article_processing_charge":"No","OA_place":"publisher","oa_version":"Published Version","corr_author":"1","status":"public","_id":"19005","author":[{"last_name":"Yao","id":"d3e02e50-48a8-11ee-8f62-c108061797fa","full_name":"Yao, Dingling","first_name":"Dingling"},{"id":"f978ccb0-3f7f-11eb-b193-b0e2bd13182b","orcid":"0000-0001-5836-5350","last_name":"Muller","first_name":"Caroline J","full_name":"Muller, Caroline J"},{"full_name":"Locatello, Francesco","first_name":"Francesco","last_name":"Locatello","orcid":"0000-0002-4850-0683","id":"26cfd52f-2483-11ee-8040-88983bcc06d4"}],"quality_controlled":"1","intvolume":"        37","doi":"10.52202/079017-2290","fulldoi":"https://doi.org/10.52202/079017-2290","ddc":["000","550"],"date_created":"2025-02-05T07:49:00Z","acknowledgement":"We thank Niklas Boers for recommending the SpeedyWeather simulator and Valentino Maiorca\r\nfor guidance on Fourier transformation for SST data. We are also grateful to Shimeng Huang and Riccardo Cadei for their feedback on the treatment effect estimation experiment and to Jiale Chen and Adeel Pervez for their assistance with the solver implementation. Finally, we appreciate the anonymous reviewers for their insightful suggestions, which helped improve the manuscript. ","has_accepted_license":"1","publication":"38th Conference on Neural Information Processing Systems","das_tickbox":"0","alternative_title":["Advances in Neural Information Processing Systems"],"volume":37,"oa":1,"file":[{"content_type":"application/pdf","file_size":2595855,"success":1,"access_level":"open_access","relation":"main_file","creator":"dernst","checksum":"fe8832367e7143876f178244385d859e","date_updated":"2025-02-05T07:44:58Z","file_name":"2024_NeurIPS_Yao.pdf","file_id":"19006","date_created":"2025-02-05T07:44:58Z"}],"date_updated":"2026-10-15T09:47:17Z","supplementarymaterial":"no","publisher":"Neural Information Processing Systems Foundation","type":"conference","related_material":{"link":[{"url":"https://github.com/CausalLearningAI/crl-dynamical-systems","relation":"software"}]},"publication_identifier":{"eissn":["1049-5258"]}},{"oa_version":"Published Version","corr_author":"1","_id":"13129","status":"public","quality_controlled":"1","author":[{"last_name":"Clozeau","id":"fea1b376-906f-11eb-847d-b2c0cf46455b","full_name":"Clozeau, Nicolas","first_name":"Nicolas"},{"last_name":"Josien","full_name":"Josien, Marc","first_name":"Marc"},{"full_name":"Otto, Felix","first_name":"Felix","last_name":"Otto"},{"first_name":"Qiang","full_name":"Xu, Qiang","last_name":"Xu"}],"intvolume":"        24","doi":"10.1007/s10208-023-09613-y","fulldoi":"https://doi.org/10.1007/s10208-023-09613-y","ddc":["510"],"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"external_id":{"isi":["000999623100001"]},"scopus_import":"1","OA_place":"publisher","article_processing_charge":"Yes (via OA deal)","OA_type":"hybrid","day":"01","language":[{"iso":"eng"}],"file_date_updated":"2025-01-09T07:36:57Z","department":[{"_id":"JuFi"}],"publication_status":"published","year":"2024","title":"Bias in the representative volume element method: Periodize the ensemble instead of its realizations","month":"08","citation":{"mla":"Clozeau, Nicolas, et al. “Bias in the Representative Volume Element Method: Periodize the Ensemble Instead of Its Realizations.” <i>Foundations of Computational Mathematics</i>, vol. 24, Springer Nature, 2024, pp. 1305–87, doi:<a href=\"https://doi.org/10.1007/s10208-023-09613-y\">10.1007/s10208-023-09613-y</a>.","ista":"Clozeau N, Josien M, Otto F, Xu Q. 2024. Bias in the representative volume element method: Periodize the ensemble instead of its realizations. Foundations of Computational Mathematics. 24, 1305–1387.","ama":"Clozeau N, Josien M, Otto F, Xu Q. Bias in the representative volume element method: Periodize the ensemble instead of its realizations. <i>Foundations of Computational Mathematics</i>. 2024;24:1305-1387. doi:<a href=\"https://doi.org/10.1007/s10208-023-09613-y\">10.1007/s10208-023-09613-y</a>","chicago":"Clozeau, Nicolas, Marc Josien, Felix Otto, and Qiang Xu. “Bias in the Representative Volume Element Method: Periodize the Ensemble Instead of Its Realizations.” <i>Foundations of Computational Mathematics</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s10208-023-09613-y\">https://doi.org/10.1007/s10208-023-09613-y</a>.","apa":"Clozeau, N., Josien, M., Otto, F., &#38; Xu, Q. (2024). Bias in the representative volume element method: Periodize the ensemble instead of its realizations. <i>Foundations of Computational Mathematics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s10208-023-09613-y\">https://doi.org/10.1007/s10208-023-09613-y</a>","ieee":"N. Clozeau, M. Josien, F. Otto, and Q. Xu, “Bias in the representative volume element method: Periodize the ensemble instead of its realizations,” <i>Foundations of Computational Mathematics</i>, vol. 24. Springer Nature, pp. 1305–1387, 2024.","short":"N. Clozeau, M. Josien, F. Otto, Q. Xu, Foundations of Computational Mathematics 24 (2024) 1305–1387."},"researchdata_availability":"no","date_published":"2024-08-01T00:00:00Z","abstract":[{"lang":"eng","text":"We study the representative volume element (RVE) method, which is a method to approximately infer the effective behavior ahom of a stationary random medium. The latter is described by a coefficient field a(x) generated from a given ensemble ⟨⋅⟩ and the corresponding linear elliptic operator −∇⋅a∇. In line with the theory of homogenization, the method proceeds by computing d=3 correctors (d denoting the space dimension). To be numerically tractable, this computation has to be done on a finite domain: the so-called representative volume element, i.e., a large box with, say, periodic boundary conditions. The main message of this article is: Periodize the ensemble instead of its realizations. By this, we mean that it is better to sample from a suitably periodized ensemble than to periodically extend the restriction of a realization a(x) from the whole-space ensemble ⟨⋅⟩. We make this point by investigating the bias (or systematic error), i.e., the difference between ahom and the expected value of the RVE method, in terms of its scaling w.r.t. the lateral size L of the box. In case of periodizing a(x), we heuristically argue that this error is generically O(L−1). In case of a suitable periodization of ⟨⋅⟩\r\n, we rigorously show that it is O(L−d). In fact, we give a characterization of the leading-order error term for both strategies and argue that even in the isotropic case it is generically non-degenerate. We carry out the rigorous analysis in the convenient setting of ensembles ⟨⋅⟩\r\n of Gaussian type, which allow for a straightforward periodization, passing via the (integrable) covariance function. This setting has also the advantage of making the Price theorem and the Malliavin calculus available for optimal stochastic estimates of correctors. We actually need control of second-order correctors to capture the leading-order error term. This is due to inversion symmetry when applying the two-scale expansion to the Green function. As a bonus, we present a stream-lined strategy to estimate the error in a higher-order two-scale expansion of the Green function."}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publisher":"Springer Nature","type":"journal_article","page":"1305-1387","isi":1,"publication_identifier":{"eissn":["1615-3383"],"issn":["1615-3375"]},"article_type":"original","file":[{"date_created":"2025-01-09T07:36:57Z","file_id":"18782","file_name":"2024_FoundCompMath_Clozeau.pdf","date_updated":"2025-01-09T07:36:57Z","checksum":"ec0582e2b55e2703a7da2686ae0d682e","relation":"main_file","creator":"dernst","success":1,"access_level":"open_access","content_type":"application/pdf","file_size":1454406}],"date_updated":"2026-10-15T09:47:37Z","supplementarymaterial":"yes","oa":1,"date_created":"2023-06-11T22:00:40Z","acknowledgement":"Open access funding provided by Institute of Science and Technology (IST Austria).","has_accepted_license":"1","das_tickbox":"0","publication":"Foundations of Computational Mathematics","volume":24},{"dataavailabilitystatement":"This manuscript has no associated data.","oa":1,"date_created":"2023-02-02T10:45:47Z","publication":"Stochastics and Partial Differential Equations: Analysis and Computations","das_tickbox":"1","acknowledgement":"The author has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 948819).\r\nThe author thanks Lorenzo Dello Schiavo, Lucio Galeati and Mark Veraar for helpful comments. The author acknowledges Caterina Balzotti for her support in creating the picture. The author\r\nthanks the anonymous referee for helpful comments. ","has_accepted_license":"1","ec_funded":1,"volume":12,"type":"journal_article","publisher":"Springer Nature","page":"1907-1981","isi":1,"publication_identifier":{"eissn":["2194-041X"],"issn":["2194-0401"]},"pmid":1,"article_type":"original","file":[{"date_created":"2025-01-09T08:01:02Z","file_id":"18787","file_name":"2024_StochPartDiffEquations_Agresti.pdf","date_updated":"2025-01-09T08:01:02Z","checksum":"3c93d07a5f7e0b0caa8062eadcfa69c2","creator":"dernst","relation":"main_file","access_level":"open_access","success":1,"file_size":1320682,"content_type":"application/pdf"}],"date_updated":"2026-10-15T09:48:09Z","supplementarymaterial":"no","OA_type":"hybrid","language":[{"iso":"eng"}],"day":"01","project":[{"name":"Bridging Scales in Random Materials","_id":"0aa76401-070f-11eb-9043-b5bb049fa26d","grant_number":"948819","call_identifier":"H2020"}],"file_date_updated":"2025-01-09T08:01:02Z","department":[{"_id":"JuFi"}],"publication_status":"published","year":"2024","citation":{"mla":"Agresti, Antonio. “Delayed Blow-up and Enhanced Diffusion by Transport Noise for Systems of Reaction-Diffusion Equations.” <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>, vol. 12, Springer Nature, 2024, pp. 1907–81, doi:<a href=\"https://doi.org/10.1007/s40072-023-00319-4\">10.1007/s40072-023-00319-4</a>.","ista":"Agresti A. 2024. Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations. Stochastics and Partial Differential Equations: Analysis and Computations. 12, 1907–1981.","short":"A. Agresti, Stochastics and Partial Differential Equations: Analysis and Computations 12 (2024) 1907–1981.","apa":"Agresti, A. (2024). Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations. <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s40072-023-00319-4\">https://doi.org/10.1007/s40072-023-00319-4</a>","ieee":"A. Agresti, “Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations,” <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>, vol. 12. Springer Nature, pp. 1907–1981, 2024.","ama":"Agresti A. Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations. <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>. 2024;12:1907-1981. doi:<a href=\"https://doi.org/10.1007/s40072-023-00319-4\">10.1007/s40072-023-00319-4</a>","chicago":"Agresti, Antonio. “Delayed Blow-up and Enhanced Diffusion by Transport Noise for Systems of Reaction-Diffusion Equations.” <i>Stochastics and Partial Differential Equations: Analysis and Computations</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s40072-023-00319-4\">https://doi.org/10.1007/s40072-023-00319-4</a>."},"title":"Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations","month":"09","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","researchdata_availability":"not applicable","abstract":[{"lang":"eng","text":"This paper is concerned with the problem of regularization by noise of systems of reaction–diffusion equations with mass control. It is known that strong solutions to such systems of PDEs may blow-up in finite time. Moreover, for many systems of practical interest, establishing whether the blow-up occurs or not is an open question. Here we prove that a suitable multiplicative noise of transport type has a regularizing effect. More precisely, for both a sufficiently noise intensity and a high spectrum, the blow-up of strong solutions is delayed up to an arbitrary large time. Global existence is shown for the case of exponentially decreasing mass. The proofs combine and extend recent developments in regularization by noise and in the Lp(Lq)-approach to stochastic PDEs, highlighting new connections between the two areas."}],"date_published":"2024-09-01T00:00:00Z","corr_author":"1","oa_version":"Published Version","intvolume":"        12","doi":"10.1007/s40072-023-00319-4","_id":"12486","author":[{"last_name":"Agresti","id":"673cd0cc-9b9a-11eb-b144-88f30e1fbb72","orcid":"0000-0002-9573-2962","full_name":"Agresti, Antonio","first_name":"Antonio"}],"quality_controlled":"1","status":"public","fulldoi":"https://doi.org/10.1007/s40072-023-00319-4","ddc":["510"],"external_id":{"isi":["001108594600001"],"arxiv":["2207.08293"],"pmid":["39104877"]},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"scopus_import":"1","OA_place":"publisher","article_processing_charge":"No","arxiv":1},{"page":"485-541","type":"journal_article","publisher":"Springer Nature","isi":1,"publication_identifier":{"issn":["0178-8051"],"eissn":["1432-2064"]},"file":[{"content_type":"application/pdf","file_size":880117,"success":1,"access_level":"open_access","relation":"main_file","creator":"dernst","checksum":"34f44cad6a210ff66791ee37e590af2c","date_updated":"2025-01-09T08:10:54Z","file_name":"2024_ProbTheoryRelatFields_Clozeau.pdf","file_id":"18788","date_created":"2025-01-09T08:10:54Z"}],"article_type":"original","supplementarymaterial":"no","date_updated":"2026-10-15T09:48:31Z","oa":1,"date_created":"2024-01-14T23:00:57Z","ec_funded":1,"volume":190,"publication":"Probability Theory and Related Fields","das_tickbox":"0","has_accepted_license":"1","acknowledgement":"NC has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No 948819).\r\nFM is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the SPP 2265 Random Geometric Systems. FM has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy EXC 2044 -390685587, Mathematics Münster: Dynamics–Geometry–Structure. FM has been funded by the Max Planck Institute for Mathematics in the Sciences.","doi":"10.1007/s00440-023-01254-0","intvolume":"       190","quality_controlled":"1","_id":"14797","status":"public","author":[{"last_name":"Clozeau","id":"fea1b376-906f-11eb-847d-b2c0cf46455b","full_name":"Clozeau, Nicolas","first_name":"Nicolas"},{"last_name":"Mattesini","full_name":"Mattesini, Francesco","first_name":"Francesco"}],"corr_author":"1","oa_version":"Published Version","ddc":["510"],"fulldoi":"https://doi.org/10.1007/s00440-023-01254-0","external_id":{"isi":["001136206200002"],"arxiv":["2303.00353"]},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"OA_place":"publisher","article_processing_charge":"Yes (in subscription journal)","arxiv":1,"scopus_import":"1","day":"01","language":[{"iso":"eng"}],"project":[{"grant_number":"948819","call_identifier":"H2020","name":"Bridging Scales in Random Materials","_id":"0aa76401-070f-11eb-9043-b5bb049fa26d"}],"OA_type":"hybrid","publication_status":"published","department":[{"_id":"JuFi"}],"file_date_updated":"2025-01-09T08:10:54Z","year":"2024","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_published":"2024-10-01T00:00:00Z","researchdata_availability":"no","abstract":[{"text":"We study a random matching problem on closed compact  2 -dimensional Riemannian manifolds (with respect to the squared Riemannian distance), with samples of random points whose common law is absolutely continuous with respect to the volume measure with strictly positive and bounded density. We show that given two sequences of numbers  n  and  m=m(n)  of points, asymptotically equivalent as  n  goes to infinity, the optimal transport plan between the two empirical measures  μn  and  νm  is quantitatively well-approximated by  (Id,exp(∇hn))#μn  where  hn  solves a linear elliptic PDE obtained by a regularized first-order linearization of the Monge-Ampère equation. This is obtained in the case of samples of correlated random points for which a stretched exponential decay of the  α -mixing coefficient holds and for a class of discrete-time Markov chains having a unique absolutely continuous invariant measure with respect to the volume measure.","lang":"eng"}],"citation":{"mla":"Clozeau, Nicolas, and Francesco Mattesini. “Annealed Quantitative Estimates for the Quadratic 2D-Discrete Random Matching Problem.” <i>Probability Theory and Related Fields</i>, vol. 190, Springer Nature, 2024, pp. 485–541, doi:<a href=\"https://doi.org/10.1007/s00440-023-01254-0\">10.1007/s00440-023-01254-0</a>.","ista":"Clozeau N, Mattesini F. 2024. Annealed quantitative estimates for the quadratic 2D-discrete random matching problem. Probability Theory and Related Fields. 190, 485–541.","short":"N. Clozeau, F. Mattesini, Probability Theory and Related Fields 190 (2024) 485–541.","ieee":"N. Clozeau and F. Mattesini, “Annealed quantitative estimates for the quadratic 2D-discrete random matching problem,” <i>Probability Theory and Related Fields</i>, vol. 190. Springer Nature, pp. 485–541, 2024.","apa":"Clozeau, N., &#38; Mattesini, F. (2024). Annealed quantitative estimates for the quadratic 2D-discrete random matching problem. <i>Probability Theory and Related Fields</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00440-023-01254-0\">https://doi.org/10.1007/s00440-023-01254-0</a>","chicago":"Clozeau, Nicolas, and Francesco Mattesini. “Annealed Quantitative Estimates for the Quadratic 2D-Discrete Random Matching Problem.” <i>Probability Theory and Related Fields</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s00440-023-01254-0\">https://doi.org/10.1007/s00440-023-01254-0</a>.","ama":"Clozeau N, Mattesini F. Annealed quantitative estimates for the quadratic 2D-discrete random matching problem. <i>Probability Theory and Related Fields</i>. 2024;190:485-541. doi:<a href=\"https://doi.org/10.1007/s00440-023-01254-0\">10.1007/s00440-023-01254-0</a>"},"title":"Annealed quantitative estimates for the quadratic 2D-discrete random matching problem","month":"10"},{"type":"journal_article","publisher":"Springer Nature","isi":1,"publication_identifier":{"issn":["0944-2669"],"eissn":["1432-0835"]},"article_type":"original","file":[{"date_created":"2024-04-23T07:30:48Z","file_id":"15343","file_name":"2024_CalculusEquations_Abels.pdf","date_updated":"2024-04-23T07:30:48Z","checksum":"b1095fad4cae596f52cc616a973bdde2","creator":"dernst","relation":"main_file","access_level":"open_access","success":1,"file_size":975186,"content_type":"application/pdf"}],"date_updated":"2026-10-15T09:47:15Z","supplementarymaterial":"no","oa":1,"date_created":"2024-04-21T22:00:52Z","issue":"4","publication":"Calculus of Variations and Partial Differential Equations","das_tickbox":"0","has_accepted_license":"1","acknowledgement":"Open Access funding enabled and organized by Projekt DEAL.\r\nM. Fei was partially supported by NSF of China under Grant No. 12271004 and Anhui Provincial Funding Project under Grant Nos. gxbjZD2022009 and 2308085J10. Moreover, M. Moser has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No 948819).","ec_funded":1,"volume":63,"oa_version":"Published Version","doi":"10.1007/s00526-024-02715-7","intvolume":"        63","_id":"15334","status":"public","author":[{"last_name":"Abels","first_name":"Helmut","full_name":"Abels, Helmut"},{"last_name":"Fei","first_name":"Mingwen","full_name":"Fei, Mingwen"},{"last_name":"Moser","id":"a60047a9-da77-11eb-85b4-c4dc385ebb8c","full_name":"Moser, Maximilian","first_name":"Maximilian"}],"quality_controlled":"1","fulldoi":"https://doi.org/10.1007/s00526-024-02715-7","ddc":["510"],"external_id":{"isi":["001199418100002"],"arxiv":["2304.12096"]},"article_number":"94","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"scopus_import":"1","article_processing_charge":"Yes (via OA deal)","arxiv":1,"language":[{"iso":"eng"}],"day":"01","project":[{"grant_number":"948819","call_identifier":"H2020","_id":"0aa76401-070f-11eb-9043-b5bb049fa26d","name":"Bridging Scales in Random Materials"}],"department":[{"_id":"JuFi"}],"file_date_updated":"2024-04-23T07:30:48Z","publication_status":"published","year":"2024","title":"Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility","citation":{"mla":"Abels, Helmut, et al. “Sharp Interface Limit for a Navier–Stokes/Allen–Cahn System in the Case of a Vanishing Mobility.” <i>Calculus of Variations and Partial Differential Equations</i>, vol. 63, no. 4, 94, Springer Nature, 2024, doi:<a href=\"https://doi.org/10.1007/s00526-024-02715-7\">10.1007/s00526-024-02715-7</a>.","ista":"Abels H, Fei M, Moser M. 2024. Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility. Calculus of Variations and Partial Differential Equations. 63(4), 94.","ama":"Abels H, Fei M, Moser M. Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility. <i>Calculus of Variations and Partial Differential Equations</i>. 2024;63(4). doi:<a href=\"https://doi.org/10.1007/s00526-024-02715-7\">10.1007/s00526-024-02715-7</a>","chicago":"Abels, Helmut, Mingwen Fei, and Maximilian Moser. “Sharp Interface Limit for a Navier–Stokes/Allen–Cahn System in the Case of a Vanishing Mobility.” <i>Calculus of Variations and Partial Differential Equations</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s00526-024-02715-7\">https://doi.org/10.1007/s00526-024-02715-7</a>.","short":"H. Abels, M. Fei, M. Moser, Calculus of Variations and Partial Differential Equations 63 (2024).","apa":"Abels, H., Fei, M., &#38; Moser, M. (2024). Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility. <i>Calculus of Variations and Partial Differential Equations</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00526-024-02715-7\">https://doi.org/10.1007/s00526-024-02715-7</a>","ieee":"H. Abels, M. Fei, and M. Moser, “Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility,” <i>Calculus of Variations and Partial Differential Equations</i>, vol. 63, no. 4. Springer Nature, 2024."},"month":"05","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_published":"2024-05-01T00:00:00Z","abstract":[{"lang":"eng","text":"We consider the sharp interface limit of a Navier-Stokes/Allen Cahn equation in a bounded smooth domain in two space dimensions, in the case of vanishing mobility mε=ε√, where the small parameter ε>0 related to the thickness of the diffuse interface is sent to zero. For well-prepared initial data and sufficiently small times, we rigorously prove convergence to the classical two-phase Navier-Stokes system with surface tension. The idea of the proof is to use asymptotic expansions to construct an approximate solution and to estimate the difference of the exact and approximate solutions with a spectral estimate for the (at the approximate solution) linearized Allen-Cahn operator. In the calculations we use a fractional order ansatz and new ansatz terms in higher orders leading to a suitable ε-scaled and coupled model problem. Moreover, we apply the novel idea of introducing ε-dependent coordinates."}],"researchdata_availability":"no"},{"publisher":"Neural Information Processing Systems Foundation","type":"conference","date_updated":"2026-10-15T09:48:32Z","supplementarymaterial":"no","file":[{"date_created":"2025-02-05T08:34:25Z","date_updated":"2025-02-05T08:34:25Z","file_name":"2024_NeurIPS_Kori.pdf","file_id":"19008","creator":"dernst","relation":"main_file","checksum":"d27b3c7102adc28e798fe41001f0b919","file_size":6943800,"content_type":"application/pdf","access_level":"open_access","success":1}],"oa":1,"acknowledgement":"A. Kori is supported by UKRI (grant number EP/S023356/1), as part of the UKRI Centre for Doctoral Training in Safe and Trusted AI. B. Glocker and F.D.S. Ribeiro acknowledge the support of the UKRI AI programme, and the Engineering and Physical Sciences Research Council, for CHAI - EPSRC Causality in Healthcare AI Hub (grant number EP/Y028856/1).","has_accepted_license":"1","publication":"38th Conference on Neural Information Processing Systems","das_tickbox":"0","volume":37,"alternative_title":["Advances in Neural Information Processing Systems"],"date_created":"2025-02-05T08:36:22Z","fulldoi":"https://doi.org/10.52202/079017-2960","ddc":["000"],"oa_version":"Published Version","author":[{"first_name":"Avinash","full_name":"Kori, Avinash","last_name":"Kori"},{"full_name":"Locatello, Francesco","first_name":"Francesco","last_name":"Locatello","orcid":"0000-0002-4850-0683","id":"26cfd52f-2483-11ee-8040-88983bcc06d4"},{"last_name":"Santhirasekaram","first_name":"Ainkaran","full_name":"Santhirasekaram, Ainkaran"},{"last_name":"Toni","full_name":"Toni, Francesca","first_name":"Francesca"},{"full_name":"Glocker, Ben","first_name":"Ben","last_name":"Glocker"},{"last_name":"De Sousa Ribeiro","full_name":"De Sousa Ribeiro, Fabio","first_name":"Fabio"}],"_id":"19007","status":"public","quality_controlled":"1","doi":"10.52202/079017-2960","intvolume":"        37","scopus_import":"1","arxiv":1,"article_processing_charge":"No","OA_place":"publisher","external_id":{"arxiv":["2406.07141"]},"conference":{"start_date":"2024-12-16","name":"NeurIPS: Neural Information Processing Systems","end_date":"2024-12-16","location":"Vancouver, Canada"},"department":[{"_id":"FrLo"}],"file_date_updated":"2025-02-05T08:34:25Z","publication_status":"published","OA_type":"hybrid","language":[{"iso":"eng"}],"day":"01","title":"Identifiable object-centric representation learning via probabilistic slot attention","month":"12","citation":{"mla":"Kori, Avinash, et al. “Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention.” <i>38th Conference on Neural Information Processing Systems</i>, vol. 37, Neural Information Processing Systems Foundation, 2024, doi:<a href=\"https://doi.org/10.52202/079017-2960\">10.52202/079017-2960</a>.","ista":"Kori A, Locatello F, Santhirasekaram A, Toni F, Glocker B, De Sousa Ribeiro F. 2024. Identifiable object-centric representation learning via probabilistic slot attention. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.","ama":"Kori A, Locatello F, Santhirasekaram A, Toni F, Glocker B, De Sousa Ribeiro F. Identifiable object-centric representation learning via probabilistic slot attention. In: <i>38th Conference on Neural Information Processing Systems</i>. Vol 37. Neural Information Processing Systems Foundation; 2024. doi:<a href=\"https://doi.org/10.52202/079017-2960\">10.52202/079017-2960</a>","chicago":"Kori, Avinash, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, and Fabio De Sousa Ribeiro. “Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention.” In <i>38th Conference on Neural Information Processing Systems</i>, Vol. 37. Neural Information Processing Systems Foundation, 2024. <a href=\"https://doi.org/10.52202/079017-2960\">https://doi.org/10.52202/079017-2960</a>.","short":"A. Kori, F. Locatello, A. Santhirasekaram, F. Toni, B. Glocker, F. De Sousa Ribeiro, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","apa":"Kori, A., Locatello, F., Santhirasekaram, A., Toni, F., Glocker, B., &#38; De Sousa Ribeiro, F. (2024). Identifiable object-centric representation learning via probabilistic slot attention. In <i>38th Conference on Neural Information Processing Systems</i> (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation. <a href=\"https://doi.org/10.52202/079017-2960\">https://doi.org/10.52202/079017-2960</a>","ieee":"A. Kori, F. Locatello, A. Santhirasekaram, F. Toni, B. Glocker, and F. De Sousa Ribeiro, “Identifiable object-centric representation learning via probabilistic slot attention,” in <i>38th Conference on Neural Information Processing Systems</i>, Vancouver, Canada, 2024, vol. 37."},"date_published":"2024-12-01T00:00:00Z","abstract":[{"text":"Learning modular object-centric representations is crucial for systematic generalization. Existing methods show promising object-binding capabilities empirically,\r\nbut theoretical identifiability guarantees remain relatively underdeveloped. Understanding when object-centric representations can theoretically be identified is\r\ncrucial for scaling slot-based methods to high-dimensional images with correctness\r\nguarantees. To that end, we propose a probabilistic slot-attention algorithm that\r\nimposes an aggregate mixture prior over object-centric slot representations, thereby\r\nproviding slot identifiability guarantees without supervision, up to an equivalence\r\nrelation. We provide empirical verification of our theoretical identifiability result\r\nusing both simple 2-dimensional data and high-resolution imaging datasets.\r\n","lang":"eng"}],"researchdata_availability":"no","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2024"},{"year":"2024","title":"Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions","month":"10","citation":{"chicago":"Agresti, Antonio, and Eliseo Luongo. “Global Well-Posedness and Interior Regularity of 2D Navier-Stokes Equations with Stochastic Boundary Conditions.” <i>Mathematische Annalen</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1007/s00208-024-02812-0\">https://doi.org/10.1007/s00208-024-02812-0</a>.","ama":"Agresti A, Luongo E. Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions. <i>Mathematische Annalen</i>. 2024;390:2727-2766. doi:<a href=\"https://doi.org/10.1007/s00208-024-02812-0\">10.1007/s00208-024-02812-0</a>","short":"A. Agresti, E. Luongo, Mathematische Annalen 390 (2024) 2727–2766.","apa":"Agresti, A., &#38; Luongo, E. (2024). Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions. <i>Mathematische Annalen</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00208-024-02812-0\">https://doi.org/10.1007/s00208-024-02812-0</a>","ieee":"A. Agresti and E. Luongo, “Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions,” <i>Mathematische Annalen</i>, vol. 390. Springer Nature, pp. 2727–2766, 2024.","ista":"Agresti A, Luongo E. 2024. Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions. Mathematische Annalen. 390, 2727–2766.","mla":"Agresti, Antonio, and Eliseo Luongo. “Global Well-Posedness and Interior Regularity of 2D Navier-Stokes Equations with Stochastic Boundary Conditions.” <i>Mathematische Annalen</i>, vol. 390, Springer Nature, 2024, pp. 2727–66, doi:<a href=\"https://doi.org/10.1007/s00208-024-02812-0\">10.1007/s00208-024-02812-0</a>."},"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","abstract":[{"lang":"eng","text":"The paper is devoted to the analysis of the global well-posedness and the interior regularity of the 2D Navier–Stokes equations with inhomogeneous stochastic boundary conditions. The noise, white in time and coloured in space, can be interpreted as the physical law describing the driving mechanism on the atmosphere–ocean interface, i.e. as a balance of the shear stress of the ocean and the horizontal wind force."}],"date_published":"2024-10-01T00:00:00Z","researchdata_availability":"not applicable","OA_type":"hybrid","language":[{"iso":"eng"}],"day":"01","project":[{"call_identifier":"H2020","grant_number":"948819","_id":"0aa76401-070f-11eb-9043-b5bb049fa26d","name":"Bridging Scales in Random Materials"}],"department":[{"_id":"JuFi"}],"file_date_updated":"2025-01-09T08:23:36Z","publication_status":"published","external_id":{"pmid":["39351582"],"arxiv":["2306.11081"],"isi":["001172711400002"]},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"scopus_import":"1","article_processing_charge":"Yes (via OA deal)","OA_place":"publisher","arxiv":1,"oa_version":"Published Version","intvolume":"       390","doi":"10.1007/s00208-024-02812-0","quality_controlled":"1","_id":"15098","author":[{"full_name":"Agresti, Antonio","first_name":"Antonio","last_name":"Agresti","orcid":"0000-0002-9573-2962","id":"673cd0cc-9b9a-11eb-b144-88f30e1fbb72"},{"first_name":"Eliseo","full_name":"Luongo, Eliseo","last_name":"Luongo"}],"status":"public","fulldoi":"https://doi.org/10.1007/s00208-024-02812-0","ddc":["510"],"date_created":"2024-03-10T23:00:54Z","das_tickbox":"1","publication":"Mathematische Annalen","acknowledgement":"The authors thank Professor Franco Flandoli for useful discussions and valuable insight into the subject. In particular, A.A. would like to thank professor Franco Flandoli for hosting and financially contributing to his research visit at Scuola Normale di Pisa in January 2023, where this work started. E.L. would like to express sincere gratitude to Professor Marco Fuhrman for igniting his interest in this particular field of research. E.L. want to thank Professor Matthias Hieber and Dr. Martin Saal for useful discussions. Finally, the authors thank the anonymous referee for helpful comments which improved the paper from its initial version.Open access funding provided by Scuola Normale Superiore within the CRUI-CARE Agreement. A. Agresti has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 948819).","has_accepted_license":"1","ec_funded":1,"volume":390,"dataavailabilitystatement":"Data sharing not applicable to this article as no data sets were generated or analyzed during the current study.","oa":1,"article_type":"original","file":[{"file_size":661557,"content_type":"application/pdf","success":1,"access_level":"open_access","relation":"main_file","creator":"dernst","checksum":"d55cac8bddea09a97f06612825c4f229","date_updated":"2025-01-09T08:23:36Z","file_name":"2024_MathAnnalen_Agresti.pdf","file_id":"18790","date_created":"2025-01-09T08:23:36Z"}],"date_updated":"2026-10-15T09:48:57Z","supplementarymaterial":"no","type":"journal_article","publisher":"Springer Nature","page":"2727-2766","isi":1,"publication_identifier":{"eissn":["1432-1807"],"issn":["0025-5831"]},"pmid":1},{"day":"01","language":[{"iso":"eng"}],"project":[{"call_identifier":"H2020","grant_number":"948819","name":"Bridging Scales in Random Materials","_id":"0aa76401-070f-11eb-9043-b5bb049fa26d"}],"OA_type":"green","publication_status":"published","department":[{"_id":"JuFi"}],"year":"2024","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_published":"2024-09-01T00:00:00Z","abstract":[{"text":"We are interested in numerical algorithms for computing the electrical field generated by a charge distribution localized on scale l in an infinite heterogeneous correlated random medium, in a situation where the medium is only known in a box of diameter L >>l around the support of the charge. We show that the algorithm in [J. Lu, F. Otto, and L. Wang, Optimal Artificial Boundary Conditions Based on Second-Order Correctors for Three Dimensional Random Ellilptic Media, preprint, arXiv:2109.01616, 2021], suggesting optimal Dirichlet boundary conditions motivated by the multipole expansion [P. Bella, A. Giunti, and F. Otto, Comm. Partial Differential Equations, 45 (2020), pp. 561–640], still performs well in correlated media. With overwhelming probability, we obtain a convergence rate in terms of l, L, and the size of the correlations for which optimality is supported with numerical simulations. These estimates are provided for ensembles which satisfy a multiscale logarithmic Sobolev inequality, where our main tool is an extension of the semigroup estimates in [N. Clozeau, Stoch. Partial Differ. Equ. Anal. Comput., 11 (2023), pp. 1254–1378]. As part of our strategy, we construct sublinear second-order correctors in this correlated setting, which is of independent interest.","lang":"eng"}],"researchdata_availability":"no","month":"09","title":"Artificial boundary conditions for random elliptic systems with correlated coefficient field","citation":{"chicago":"Clozeau, Nicolas, and Lihan Wang. “Artificial Boundary Conditions for Random Elliptic Systems with Correlated Coefficient Field.” <i>Multiscale Modeling and Simulation</i>. Society for Industrial and Applied Mathematics, 2024. <a href=\"https://doi.org/10.1137/23M1603819\">https://doi.org/10.1137/23M1603819</a>.","ama":"Clozeau N, Wang L. Artificial boundary conditions for random elliptic systems with correlated coefficient field. <i>Multiscale Modeling and Simulation</i>. 2024;22(3):973-1029. doi:<a href=\"https://doi.org/10.1137/23M1603819\">10.1137/23M1603819</a>","apa":"Clozeau, N., &#38; Wang, L. (2024). Artificial boundary conditions for random elliptic systems with correlated coefficient field. <i>Multiscale Modeling and Simulation</i>. Society for Industrial and Applied Mathematics. <a href=\"https://doi.org/10.1137/23M1603819\">https://doi.org/10.1137/23M1603819</a>","short":"N. Clozeau, L. Wang, Multiscale Modeling and Simulation 22 (2024) 973–1029.","ieee":"N. Clozeau and L. Wang, “Artificial boundary conditions for random elliptic systems with correlated coefficient field,” <i>Multiscale Modeling and Simulation</i>, vol. 22, no. 3. Society for Industrial and Applied Mathematics, pp. 973–1029, 2024.","ista":"Clozeau N, Wang L. 2024. Artificial boundary conditions for random elliptic systems with correlated coefficient field. Multiscale Modeling and Simulation. 22(3), 973–1029.","mla":"Clozeau, Nicolas, and Lihan Wang. “Artificial Boundary Conditions for Random Elliptic Systems with Correlated Coefficient Field.” <i>Multiscale Modeling and Simulation</i>, vol. 22, no. 3, Society for Industrial and Applied Mathematics, 2024, pp. 973–1029, doi:<a href=\"https://doi.org/10.1137/23M1603819\">10.1137/23M1603819</a>."},"doi":"10.1137/23M1603819","intvolume":"        22","status":"public","_id":"17462","author":[{"id":"fea1b376-906f-11eb-847d-b2c0cf46455b","last_name":"Clozeau","first_name":"Nicolas","full_name":"Clozeau, Nicolas"},{"last_name":"Wang","first_name":"Lihan","full_name":"Wang, Lihan"}],"quality_controlled":"1","corr_author":"1","oa_version":"Preprint","fulldoi":"https://doi.org/10.1137/23M1603819","external_id":{"isi":["001285416500001"],"arxiv":["2309.06798"]},"article_processing_charge":"No","OA_place":"repository","arxiv":1,"scopus_import":"1","oa":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2309.06798"}],"date_created":"2024-08-25T22:01:08Z","issue":"3","ec_funded":1,"volume":22,"publication":"Multiscale Modeling and Simulation","das_tickbox":"0","acknowledgement":"We would like to thank our affiliations, Institute of Science and Technology Austria and Max Planck Institute for Mathematics in the Sciences, for supporting the authors’ visits to each other, which greatly facilitated this work. We would like to thank Marc Josien and Quinn Winters for assistance in numerical implementation.","page":"973-1029","type":"journal_article","publisher":"Society for Industrial and Applied Mathematics","publication_identifier":{"issn":["1540-3459"],"eissn":["1540-3467"]},"isi":1,"article_type":"original","supplementarymaterial":"no","date_updated":"2026-10-15T09:49:19Z"},{"language":[{"iso":"eng"}],"day":"01","department":[{"_id":"JuFi"}],"publication_status":"published","year":"2024","citation":{"ama":"Agresti A, Veraar M. Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions. <i>Annales de l’Institut Henri Poincaré, Probabilités et Statistiques</i>. 2024;60(1):413-430. doi:<a href=\"https://doi.org/10.1214/22-AIHP1333\">10.1214/22-AIHP1333</a>","chicago":"Agresti, Antonio, and Mark Veraar. “Stochastic Maximal Lp(Lq)-Regularity for Second Order Systems with Periodic Boundary Conditions.” <i>Annales de l’Institut Henri Poincaré, Probabilités et Statistiques</i>. Institute of Mathematical Statistics, 2024. <a href=\"https://doi.org/10.1214/22-AIHP1333\">https://doi.org/10.1214/22-AIHP1333</a>.","short":"A. Agresti, M. Veraar, Annales de l’Institut Henri Poincaré, Probabilités et Statistiques 60 (2024) 413–430.","ieee":"A. Agresti and M. Veraar, “Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions,” <i>Annales de l’Institut Henri Poincaré, Probabilités et Statistiques</i>, vol. 60, no. 1. Institute of Mathematical Statistics, pp. 413–430, 2024.","apa":"Agresti, A., &#38; Veraar, M. (2024). Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions. <i>Annales de l’Institut Henri Poincaré, Probabilités et Statistiques</i>. Institute of Mathematical Statistics. <a href=\"https://doi.org/10.1214/22-AIHP1333\">https://doi.org/10.1214/22-AIHP1333</a>","ista":"Agresti A, Veraar M. 2024. Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions. Annales de l’Institut Henri Poincaré, Probabilités et Statistiques. 60(1), 413–430.","mla":"Agresti, Antonio, and Mark Veraar. “Stochastic Maximal Lp(Lq)-Regularity for Second Order Systems with Periodic Boundary Conditions.” <i>Annales de l’Institut Henri Poincaré, Probabilités et Statistiques</i>, vol. 60, no. 1, Institute of Mathematical Statistics, 2024, pp. 413–30, doi:<a href=\"https://doi.org/10.1214/22-AIHP1333\">10.1214/22-AIHP1333</a>."},"month":"02","title":"Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_published":"2024-02-01T00:00:00Z","abstract":[{"lang":"eng","text":"In this paper we consider an SPDE where the leading term is a second order operator with periodic boundary conditions, coefficients which are measurable in  (t,ω) , and Hölder continuous in space. Assuming stochastic parabolicity conditions, we prove Lp((0,T)×Ω,tκdt;Hσ,q(Td)) -estimates. The main novelty is that we do not require  p=q . Moreover, we allow arbitrary  σ∈R  and weights in time. Such mixed regularity estimates play a crucial role in applications to nonlinear SPDEs which is clear from our previous work. To prove our main results we develop a general perturbation theory for SPDEs. Moreover, we prove a new result on pointwise multiplication in spaces with fractional smoothness."}],"researchdata_availability":"no","corr_author":"1","oa_version":"Preprint","doi":"10.1214/22-AIHP1333","intvolume":"        60","_id":"15119","quality_controlled":"1","status":"public","author":[{"first_name":"Antonio","full_name":"Agresti, Antonio","orcid":"0000-0002-9573-2962","id":"673cd0cc-9b9a-11eb-b144-88f30e1fbb72","last_name":"Agresti"},{"full_name":"Veraar, Mark","first_name":"Mark","last_name":"Veraar"}],"fulldoi":"https://doi.org/10.1214/22-AIHP1333","external_id":{"arxiv":["2106.01274"]},"scopus_import":"1","article_processing_charge":"No","arxiv":1,"oa":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2106.01274"}],"date_created":"2024-03-17T23:00:58Z","issue":"1","das_tickbox":"0","publication":"Annales de l'Institut Henri Poincaré, Probabilités et Statistiques","acknowledgement":"The first author has been partially supported by the Nachwuchsring – Network for the promotion of young scientists – at TU Kaiserslautern. The second author is supported by the VIDI subsidy 639.032.427 of the Netherlands Organisation for Scientific Research (NWO). The authors thank the anonymous referees and Max Sauerbrey for careful reading and helpful suggestions.","volume":60,"type":"journal_article","publisher":"Institute of Mathematical Statistics","page":"413-430","publication_identifier":{"issn":["0246-0203"]},"article_type":"original","date_updated":"2026-10-15T09:46:19Z","supplementarymaterial":"no"},{"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","researchdata_availability":"no","abstract":[{"lang":"eng","text":"Phase-field models such as the Allen–Cahn equation may give rise to the formation and evolution of geometric shapes, a phenomenon that may be analyzed rigorously in suitable scaling regimes. In its sharp-interface limit, the vectorial Allen–Cahn equation with a potential with N≥3 distinct minima has been conjectured to describe the evolution of branched interfaces by multiphase mean curvature flow. In the present work, we give a rigorous proof for this statement in two and three ambient dimensions and for a suitable class of potentials: as long as a strong solution to multiphase mean curvature flow exists, solutions to the vectorial Allen–Cahn equation with well-prepared initial data converge towards multiphase mean curvature flow in the limit of vanishing interface width parameter ε↘0. We even establish the rate of convergence O(ε \r\n1/2\r\n ). Our approach is based on the gradient-flow structure of the Allen–Cahn equation and its limiting motion: building on the recent concept of “gradient-flow calibrations” for multiphase mean curvature flow, we introduce a notion of relative entropy for the vectorial Allen–Cahn equation with multi-well potential. This enables us to overcome the limitations of other approaches, e.g. avoiding the need for a stability analysis of the Allen–Cahn operator or additional convergence hypotheses for the energy at positive times."}],"date_published":"2024-01-24T00:00:00Z","citation":{"short":"J.L. Fischer, A. Marveggio, Annales de l’Institut Henri Poincaré C 41 (2024) 1117–1178.","ieee":"J. L. Fischer and A. Marveggio, “Quantitative convergence of the vectorial Allen–Cahn equation towards multiphase mean curvature flow,” <i>Annales de l’Institut Henri Poincaré C</i>, vol. 41, no. 5. EMS Press, pp. 1117–1178, 2024.","apa":"Fischer, J. L., &#38; Marveggio, A. (2024). Quantitative convergence of the vectorial Allen–Cahn equation towards multiphase mean curvature flow. <i>Annales de l’Institut Henri Poincaré C</i>. EMS Press. <a href=\"https://doi.org/10.4171/AIHPC/109\">https://doi.org/10.4171/AIHPC/109</a>","ama":"Fischer JL, Marveggio A. Quantitative convergence of the vectorial Allen–Cahn equation towards multiphase mean curvature flow. <i>Annales de l’Institut Henri Poincaré C</i>. 2024;41(5):1117-1178. doi:<a href=\"https://doi.org/10.4171/AIHPC/109\">10.4171/AIHPC/109</a>","chicago":"Fischer, Julian L, and Alice Marveggio. “Quantitative Convergence of the Vectorial Allen–Cahn Equation towards Multiphase Mean Curvature Flow.” <i>Annales de l’Institut Henri Poincaré C</i>. EMS Press, 2024. <a href=\"https://doi.org/10.4171/AIHPC/109\">https://doi.org/10.4171/AIHPC/109</a>.","ista":"Fischer JL, Marveggio A. 2024. Quantitative convergence of the vectorial Allen–Cahn equation towards multiphase mean curvature flow. Annales de l’Institut Henri Poincaré C. 41(5), 1117–1178.","mla":"Fischer, Julian L., and Alice Marveggio. “Quantitative Convergence of the Vectorial Allen–Cahn Equation towards Multiphase Mean Curvature Flow.” <i>Annales de l’Institut Henri Poincaré C</i>, vol. 41, no. 5, EMS Press, 2024, pp. 1117–78, doi:<a href=\"https://doi.org/10.4171/AIHPC/109\">10.4171/AIHPC/109</a>."},"title":"Quantitative convergence of the vectorial Allen–Cahn equation towards multiphase mean curvature flow","month":"01","year":"2024","publication_status":"published","department":[{"_id":"JuFi"}],"file_date_updated":"2024-09-09T07:46:42Z","language":[{"iso":"eng"}],"day":"24","project":[{"grant_number":"948819","call_identifier":"H2020","name":"Bridging Scales in Random Materials","_id":"0aa76401-070f-11eb-9043-b5bb049fa26d"}],"article_processing_charge":"Yes","scopus_import":"1","external_id":{"isi":["001293853900003"]},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"ddc":["510"],"fulldoi":"https://doi.org/10.4171/AIHPC/109","intvolume":"        41","doi":"10.4171/AIHPC/109","status":"public","_id":"17481","author":[{"first_name":"Julian L","full_name":"Fischer, Julian L","orcid":"0000-0002-0479-558X","id":"2C12A0B0-F248-11E8-B48F-1D18A9856A87","last_name":"Fischer"},{"id":"25647992-AA84-11E9-9D75-8427E6697425","last_name":"Marveggio","first_name":"Alice","full_name":"Marveggio, Alice"}],"quality_controlled":"1","corr_author":"1","oa_version":"Published Version","ec_funded":1,"volume":41,"publication":"Annales de l'Institut Henri Poincaré C","das_tickbox":"0","acknowledgement":"The authors thank Sebastian Hensel for useful and helpful commentson the first draft of this work.\r\nThis project has received funding from the European Research Council (ERC)\r\nunder the European Union’s Horizon 2020 research and innovation programme (grant\r\nagreement no. 948819.","has_accepted_license":"1","date_created":"2024-09-01T22:01:09Z","issue":"5","oa":1,"supplementarymaterial":"no","date_updated":"2026-10-15T09:49:35Z","file":[{"file_id":"17923","file_name":"2024_AnnInstHPoincare_Fischer.pdf","date_updated":"2024-09-09T07:46:42Z","date_created":"2024-09-09T07:46:42Z","success":1,"access_level":"open_access","file_size":1348896,"content_type":"application/pdf","checksum":"b5ad02d9abd5b4701269cd1ad0a1cc8f","relation":"main_file","creator":"dernst"}],"article_type":"original","publication_identifier":{"issn":["0294-1449"],"eissn":["1873-1430"]},"isi":1,"related_material":{"record":[{"relation":"earlier_version","status":"public","id":"14597"}]},"page":"1117-1178","type":"journal_article","publisher":"EMS Press"},{"fulldoi":"https://doi.org/10.1145/3661814.3662080","oa_version":"Preprint","corr_author":"1","_id":"17098","quality_controlled":"1","author":[{"full_name":"Asadi, Ali","first_name":"Ali","last_name":"Asadi","id":"02d96aae-000e-11ec-b801-cadd0a5eefbb"},{"orcid":"0000-0002-4561-241X","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","last_name":"Chatterjee","first_name":"Krishnendu","full_name":"Chatterjee, Krishnendu"},{"orcid":"0000-0002-1419-3267","id":"130759D2-D7DD-11E9-87D2-DE0DE6697425","last_name":"Svoboda","first_name":"Jakub","full_name":"Svoboda, Jakub"},{"first_name":"Raimundo J","full_name":"Saona Urmeneta, Raimundo J","id":"BD1DF4C4-D767-11E9-B658-BC13E6697425","orcid":"0000-0001-5103-038X","last_name":"Saona Urmeneta"}],"status":"public","doi":"10.1145/3661814.3662080","scopus_import":"1","arxiv":1,"article_processing_charge":"No","article_number":"6","external_id":{"arxiv":["2405.02479"],"isi":["001275042100006"]},"conference":{"end_date":"2024-07-11","location":"Tallinn, Estonia","start_date":"2024-07-08","name":"LICS: Logic in Computer Science"},"department":[{"_id":"KrCh"}],"publication_status":"published","project":[{"call_identifier":"H2020","grant_number":"863818","_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","name":"Formal Methods for Stochastic Models: Algorithms and Applications"}],"language":[{"iso":"eng"}],"day":"08","title":"Deterministic sub-exponential algorithm for discounted-sum games with unary weights","citation":{"ista":"Asadi A, Chatterjee K, Svoboda J, Saona Urmeneta RJ. 2024. Deterministic sub-exponential algorithm for discounted-sum games with unary weights. 39th Annual ACM/IEEE Symposium on Logic in Computer Science. LICS: Logic in Computer Science, 6.","mla":"Asadi, Ali, et al. “Deterministic Sub-Exponential Algorithm for Discounted-Sum Games with Unary Weights.” <i>39th Annual ACM/IEEE Symposium on Logic in Computer Science</i>, 6, Association for Computing Machinery, 2024, doi:<a href=\"https://doi.org/10.1145/3661814.3662080\">10.1145/3661814.3662080</a>.","apa":"Asadi, A., Chatterjee, K., Svoboda, J., &#38; Saona Urmeneta, R. J. (2024). Deterministic sub-exponential algorithm for discounted-sum games with unary weights. In <i>39th Annual ACM/IEEE Symposium on Logic in Computer Science</i>. Tallinn, Estonia: Association for Computing Machinery. <a href=\"https://doi.org/10.1145/3661814.3662080\">https://doi.org/10.1145/3661814.3662080</a>","ieee":"A. Asadi, K. Chatterjee, J. Svoboda, and R. J. Saona Urmeneta, “Deterministic sub-exponential algorithm for discounted-sum games with unary weights,” in <i>39th Annual ACM/IEEE Symposium on Logic in Computer Science</i>, Tallinn, Estonia, 2024.","short":"A. Asadi, K. Chatterjee, J. Svoboda, R.J. Saona Urmeneta, in:, 39th Annual ACM/IEEE Symposium on Logic in Computer Science, Association for Computing Machinery, 2024.","chicago":"Asadi, Ali, Krishnendu Chatterjee, Jakub Svoboda, and Raimundo J Saona Urmeneta. “Deterministic Sub-Exponential Algorithm for Discounted-Sum Games with Unary Weights.” In <i>39th Annual ACM/IEEE Symposium on Logic in Computer Science</i>. Association for Computing Machinery, 2024. <a href=\"https://doi.org/10.1145/3661814.3662080\">https://doi.org/10.1145/3661814.3662080</a>.","ama":"Asadi A, Chatterjee K, Svoboda J, Saona Urmeneta RJ. Deterministic sub-exponential algorithm for discounted-sum games with unary weights. In: <i>39th Annual ACM/IEEE Symposium on Logic in Computer Science</i>. Association for Computing Machinery; 2024. doi:<a href=\"https://doi.org/10.1145/3661814.3662080\">10.1145/3661814.3662080</a>"},"month":"07","date_published":"2024-07-08T00:00:00Z","abstract":[{"text":"Turn-based discounted-sum games are two-player zero-sum games played on finite directed graphs. The vertices of the graph are partitioned between player 1 and player 2. Plays are infinite walks on the graph where the next vertex is decided by a player that owns the current vertex. Each edge is assigned an integer weight and the payoff of a play is the discounted-sum of the weights of the play. The goal of player 1 is to maximize the discounted-sum payoff against the adversarial player 2. These games lie in NP ∩ coNP and are among the rare combinatorial problems that belong to this complexity class and the existence of a polynomial-time algorithm is a major open question. Since breaking the general exponential barrier has been a challenging problem, faster parameterized algorithms have been considered. If the discount factor is expressed in unary, then discounted-sum games can be solved in polynomial time. However, if the discount factor is arbitrary (or expressed in binary), but the weights are in unary, none of the existing approaches yield a sub-exponential bound. Our main result is a new analysis technique for a classical algorithm (namely, the strategy iteration algorithm) that present a new runtime bound which is [EQUATION] for game graphs with n vertices and absolute weights of at most W. In particular, our result yields a deterministic sub-exponential bound for games with weights that are constant or represented in unary.","lang":"eng"}],"researchdata_availability":"no","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","year":"2024","isi":1,"publication_identifier":{"isbn":["9798400706608"],"eissn":["1043-6871"]},"publisher":"Association for Computing Machinery","type":"conference","date_updated":"2026-10-15T09:51:23Z","supplementarymaterial":"no","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2405.02479"}],"oa":1,"acknowledgement":"This research was partially supported by the ERC CoG 863818 (ForM-SMArt) grant.\r\n","publication":"39th Annual ACM/IEEE Symposium on Logic in Computer Science","das_tickbox":"0","ec_funded":1,"date_created":"2024-06-03T07:43:15Z"},{"date_created":"2025-04-06T22:01:32Z","ec_funded":1,"volume":37,"alternative_title":["Advances in Neural Information Processing Systems"],"publication":"38th Conference on Neural Information Processing Systems","acknowledgement":"The authors thank Razvan Pascanu, Mahdi Nikdan and Soroush Tabesh for their valuable feedback, the IT department from Institute of Science and Technology Austria for the hardware support and Weights and Biases for the infrastructure to track all our experiments. Mher Safaryan has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 101034413.","oa":1,"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2405.15593","open_access":"1"}],"date_updated":"2026-10-15T09:49:27Z","related_material":{"link":[{"relation":"software","url":"https://github.com/IST-DASLab/MicroAdam"}]},"type":"conference","publisher":"Neural Information Processing Systems Foundation","publication_identifier":{"issn":["1049-5258"]},"year":"2024","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2024-12-20T00:00:00Z","abstract":[{"text":"We propose a new variant of the Adam optimizer [Kingma and Ba, 2014] called\r\nMICROADAM that specifically minimizes memory overheads, while maintaining\r\ntheoretical convergence guarantees. We achieve this by compressing the gradient\r\ninformation before it is fed into the optimizer state, thereby reducing its memory\r\nfootprint significantly. We control the resulting compression error via a novel\r\ninstance of the classical error feedback mechanism from distributed optimization [Seide et al., 2014, Alistarh et al., 2018, Karimireddy et al., 2019] in which\r\nthe error correction information is itself compressed to allow for practical memory\r\ngains. We prove that the resulting approach maintains theoretical convergence\r\nguarantees competitive to those of AMSGrad, while providing good practical performance. Specifically, we show that MICROADAM can be implemented efficiently\r\non GPUs: on both million-scale (BERT) and billion-scale (LLaMA) models, MICROADAM provides practical convergence competitive to that of the uncompressed\r\nAdam baseline, with lower memory usage and similar running time. Our code is\r\navailable at https://github.com/IST-DASLab/MicroAdam.","lang":"eng"}],"citation":{"mla":"Modoranu, Ionut-Vlad, et al. “MICROADAM: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence.” <i>38th Conference on Neural Information Processing Systems</i>, vol. 37, Neural Information Processing Systems Foundation, 2024, doi:<a href=\"https://doi.org/10.52202/079017-0001\">10.52202/079017-0001</a>.","ista":"Modoranu I-V, Safaryan M, Malinovsky G, Kurtic E, Robert T, Richtárik P, Alistarh D-A. 2024. MICROADAM: Accurate adaptive optimization with low space overhead and provable convergence. 38th Conference on Neural Information Processing Systems. , Advances in Neural Information Processing Systems, vol. 37.","short":"I.-V. Modoranu, M. Safaryan, G. Malinovsky, E. Kurtic, T. Robert, P. Richtárik, D.-A. Alistarh, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","ieee":"I.-V. Modoranu <i>et al.</i>, “MICROADAM: Accurate adaptive optimization with low space overhead and provable convergence,” in <i>38th Conference on Neural Information Processing Systems</i>, 2024, vol. 37.","apa":"Modoranu, I.-V., Safaryan, M., Malinovsky, G., Kurtic, E., Robert, T., Richtárik, P., &#38; Alistarh, D.-A. (2024). MICROADAM: Accurate adaptive optimization with low space overhead and provable convergence. In <i>38th Conference on Neural Information Processing Systems</i> (Vol. 37). Neural Information Processing Systems Foundation. <a href=\"https://doi.org/10.52202/079017-0001\">https://doi.org/10.52202/079017-0001</a>","ama":"Modoranu I-V, Safaryan M, Malinovsky G, et al. MICROADAM: Accurate adaptive optimization with low space overhead and provable convergence. In: <i>38th Conference on Neural Information Processing Systems</i>. Vol 37. Neural Information Processing Systems Foundation; 2024. doi:<a href=\"https://doi.org/10.52202/079017-0001\">10.52202/079017-0001</a>","chicago":"Modoranu, Ionut-Vlad, Mher Safaryan, Grigory Malinovsky, Eldar Kurtic, Thomas Robert, Peter Richtárik, and Dan-Adrian Alistarh. “MICROADAM: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence.” In <i>38th Conference on Neural Information Processing Systems</i>, Vol. 37. Neural Information Processing Systems Foundation, 2024. <a href=\"https://doi.org/10.52202/079017-0001\">https://doi.org/10.52202/079017-0001</a>."},"title":"MICROADAM: Accurate adaptive optimization with low space overhead and provable convergence","month":"12","day":"20","language":[{"iso":"eng"}],"project":[{"grant_number":"101034413","call_identifier":"H2020","name":"IST-BRIDGE: International postdoctoral program","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c"}],"OA_type":"green","publication_status":"published","acknowledged_ssus":[{"_id":"CampIT"}],"department":[{"_id":"DaAl"}],"external_id":{"arxiv":["2405.15593"]},"OA_place":"repository","article_processing_charge":"No","arxiv":1,"scopus_import":"1","intvolume":"        37","doi":"10.52202/079017-0001","_id":"19510","author":[{"last_name":"Modoranu","id":"449f7a18-f128-11eb-9611-9b430c0c6333","full_name":"Modoranu, Ionut-Vlad","first_name":"Ionut-Vlad"},{"id":"dd546b39-0804-11ed-9c55-ef075c39778d","last_name":"Safaryan","first_name":"Mher","full_name":"Safaryan, Mher"},{"first_name":"Grigory","full_name":"Malinovsky, Grigory","last_name":"Malinovsky"},{"first_name":"Eldar","full_name":"Kurtic, Eldar","id":"47beb3a5-07b5-11eb-9b87-b108ec578218","last_name":"Kurtic"},{"last_name":"Robert","id":"de632733-1457-11f0-ae22-b5914b8c1c41","full_name":"Robert, Thomas","first_name":"Thomas"},{"last_name":"Richtárik","first_name":"Peter","full_name":"Richtárik, Peter"},{"orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh","first_name":"Dan-Adrian","full_name":"Alistarh, Dan-Adrian"}],"quality_controlled":"1","status":"public","corr_author":"1","oa_version":"Preprint","fulldoi":"https://doi.org/10.52202/079017-0001"}]