--- _id: '45886' author: - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: Steffen full_name: Becker, Steffen last_name: Becker - first_name: Matthias full_name: Becker, Matthias last_name: Becker - first_name: Cedric full_name: Richter, Cedric id: '50003' last_name: Richter - first_name: Arnab full_name: Sharma, Arnab id: '67200' last_name: Sharma citation: ama: 'Wehrheim H, Hüllermeier E, Becker S, Becker M, Richter C, Sharma A. Composition Analysis in Unknown Contexts. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:105-123. doi:10.5281/zenodo.8068510' apa: Wehrheim, H., Hüllermeier, E., Becker, S., Becker, M., Richter, C., & Sharma, A. (2023). Composition Analysis in Unknown Contexts. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 105–123). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068510 bibtex: '@inbook{Wehrheim_Hüllermeier_Becker_Becker_Richter_Sharma_2023, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Composition Analysis in Unknown Contexts}, volume={412}, DOI={10.5281/zenodo.8068510}, booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Wehrheim, Heike and Hüllermeier, Eyke and Becker, Steffen and Becker, Matthias and Richter, Cedric and Sharma, Arnab}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, pages={105–123}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }' chicago: 'Wehrheim, Heike, Eyke Hüllermeier, Steffen Becker, Matthias Becker, Cedric Richter, and Arnab Sharma. “Composition Analysis in Unknown Contexts.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:105–23. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068510.' ieee: 'H. Wehrheim, E. Hüllermeier, S. Becker, M. Becker, C. Richter, and A. Sharma, “Composition Analysis in Unknown Contexts,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 105–123.' mla: Wehrheim, Heike, et al. “Composition Analysis in Unknown Contexts.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 105–23, doi:10.5281/zenodo.8068510. short: 'H. Wehrheim, E. Hüllermeier, S. Becker, M. Becker, C. Richter, A. Sharma, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 105–123.' date_created: 2023-07-07T07:56:08Z date_updated: 2023-07-07T11:19:40Z ddc: - '004' department: - _id: '7' doi: 10.5281/zenodo.8068510 editor: - first_name: Claus-Jochen full_name: Haake, Claus-Jochen last_name: Haake - first_name: Friedhelm full_name: Meyer auf der Heide, Friedhelm last_name: Meyer auf der Heide - first_name: Marco full_name: Platzner, Marco last_name: Platzner - first_name: Henning full_name: Wachsmuth, Henning last_name: Wachsmuth - first_name: Heike full_name: Wehrheim, Heike last_name: Wehrheim file: - access_level: open_access content_type: application/pdf creator: florida date_created: 2023-07-07T07:55:57Z date_updated: 2023-07-07T11:19:40Z file_id: '45887' file_name: B3-Chapter-SFB-Buch-Final.pdf file_size: 370888 relation: main_file file_date_updated: 2023-07-07T11:19:40Z has_accepted_license: '1' intvolume: ' 412' language: - iso: eng oa: '1' page: 105-123 place: Paderborn project: - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '11' name: 'SFB 901 - B3: SFB 901 - Subproject B3' publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets publisher: Heinz Nixdorf Institut, Universität Paderborn series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts status: public title: Composition Analysis in Unknown Contexts type: book_chapter user_id: '477' volume: 412 year: '2023' ... --- _id: '45911' abstract: - lang: eng text: "Label noise poses an important challenge in machine learning, especially in\r\ndeep learning, in which large models with high expressive power dominate the\r\nfield. Models of that kind are prone to memorizing incorrect labels, thereby\r\nharming generalization performance. Many methods have been proposed to address\r\nthis problem, including robust loss functions and more complex label correction\r\napproaches. Robust loss functions are appealing due to their simplicity, but\r\ntypically lack flexibility, while label correction usually adds substantial\r\ncomplexity to the training setup. In this paper, we suggest to address the\r\nshortcomings of both methodologies by \"ambiguating\" the target information,\r\nadding additional, complementary candidate labels in case the learner is not\r\nsufficiently convinced of the observed training label. More precisely, we\r\nleverage the framework of so-called superset learning to construct set-valued\r\ntargets based on a confidence threshold, which deliver imprecise yet more\r\nreliable beliefs about the ground-truth, effectively helping the learner to\r\nsuppress the memorization effect. In an extensive empirical evaluation, our\r\nmethod demonstrates favorable learning behavior on synthetic and real-world\r\nnoise, confirming the effectiveness in detecting and correcting erroneous\r\ntraining labels." author: - first_name: Julian full_name: Lienen, Julian id: '44040' last_name: Lienen - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Lienen J, Hüllermeier E. Mitigating Label Noise through Data Ambiguation. arXiv:230513764. Published online 2023. apa: Lienen, J., & Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764. bibtex: '@article{Lienen_Hüllermeier_2023, title={Mitigating Label Noise through Data Ambiguation}, journal={arXiv:2305.13764}, author={Lienen, Julian and Hüllermeier, Eyke}, year={2023} }' chicago: Lienen, Julian, and Eyke Hüllermeier. “Mitigating Label Noise through Data Ambiguation.” ArXiv:2305.13764, 2023. ieee: J. Lienen and E. Hüllermeier, “Mitigating Label Noise through Data Ambiguation,” arXiv:2305.13764. 2023. mla: Lienen, Julian, and Eyke Hüllermeier. “Mitigating Label Noise through Data Ambiguation.” ArXiv:2305.13764, 2023. short: J. Lienen, E. Hüllermeier, ArXiv:2305.13764 (2023). date_created: 2023-07-09T11:25:48Z date_updated: 2023-07-09T11:26:21Z external_id: arxiv: - '2305.13764' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2305.13764 oa: '1' publication: arXiv:2305.13764 status: public title: Mitigating Label Noise through Data Ambiguation type: preprint user_id: '44040' year: '2023' ... --- _id: '45880' author: - first_name: Alina full_name: Elrich, Alina id: '28948' last_name: Elrich - first_name: Daniel full_name: Kaimann, Daniel id: '18949' last_name: Kaimann - first_name: René full_name: Fahr, René id: '111' last_name: Fahr - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch - first_name: Behnud full_name: Mir Djawadi, Behnud id: '26032' last_name: Mir Djawadi orcid: 0000-0002-6271-5912 - first_name: Michelle full_name: Müller, Michelle id: '50286' last_name: Müller - first_name: Martin full_name: Poniatowski, Martin id: '32441' last_name: Poniatowski - first_name: Sabrina full_name: Schäfers, Sabrina id: '38794' last_name: Schäfers - first_name: Bernd full_name: Frick, Bernd id: '16019' last_name: Frick citation: ama: 'Elrich A, Kaimann D, Fahr R, et al. Empirical Analysis in Markets for OTF Services. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:45-64. doi:10.5281/zenodo.8068430' apa: Elrich, A., Kaimann, D., Fahr, R., Kundisch, D., Mir Djawadi, B., Müller, M., Poniatowski, M., Schäfers, S., & Frick, B. (2023). Empirical Analysis in Markets for OTF Services. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 45–64). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068430 bibtex: '@inbook{Elrich_Kaimann_Fahr_Kundisch_Mir Djawadi_Müller_Poniatowski_Schäfers_Frick_2023, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Empirical Analysis in Markets for OTF Services}, volume={412}, DOI={10.5281/zenodo.8068430}, booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Elrich, Alina and Kaimann, Daniel and Fahr, René and Kundisch, Dennis and Mir Djawadi, Behnud and Müller, Michelle and Poniatowski, Martin and Schäfers, Sabrina and Frick, Bernd}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, pages={45–64}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }' chicago: 'Elrich, Alina, Daniel Kaimann, René Fahr, Dennis Kundisch, Behnud Mir Djawadi, Michelle Müller, Martin Poniatowski, Sabrina Schäfers, and Bernd Frick. “Empirical Analysis in Markets for OTF Services.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:45–64. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068430.' ieee: 'A. Elrich et al., “Empirical Analysis in Markets for OTF Services,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 45–64.' mla: Elrich, Alina, et al. “Empirical Analysis in Markets for OTF Services.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 45–64, doi:10.5281/zenodo.8068430. short: 'A. Elrich, D. Kaimann, R. Fahr, D. Kundisch, B. Mir Djawadi, M. Müller, M. Poniatowski, S. Schäfers, B. Frick, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 45–64.' date_created: 2023-07-07T07:15:06Z date_updated: 2023-07-12T07:25:55Z ddc: - '004' department: - _id: '19' doi: 10.5281/zenodo.8068430 editor: - first_name: Claus-Jochen full_name: Haake, Claus-Jochen last_name: Haake - first_name: Friedhelm full_name: Meyer auf der Heide, Friedhelm last_name: Meyer auf der Heide - first_name: Marco full_name: Platzner, Marco last_name: Platzner - first_name: Henning full_name: Wachsmuth, Henning last_name: Wachsmuth - first_name: Heike full_name: Wehrheim, Heike last_name: Wehrheim file: - access_level: open_access content_type: application/pdf creator: florida date_created: 2023-07-07T07:14:49Z date_updated: 2023-07-07T11:22:39Z file_id: '45881' file_name: A4-Chapter-SFB-Buch-Final.pdf file_size: 513106 relation: main_file file_date_updated: 2023-07-07T11:22:39Z has_accepted_license: '1' intvolume: ' 412' language: - iso: eng oa: '1' page: 45-64 place: Paderborn project: - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '2' name: 'SFB 901 - A: SFB 901 - Project Area A' - _id: '8' grant_number: '160364472' name: 'SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen (Subproject A4)' publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets publisher: Heinz Nixdorf Institut, Universität Paderborn series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts status: public title: Empirical Analysis in Markets for OTF Services type: book_chapter user_id: '15504' volume: 412 year: '2023' ... --- _id: '45786' abstract: - lang: eng text: Intending to counteract Klein’s second discontinuity in teacher education, we explored and applied the innovation of “interface ePortfolio” in the context of a geometry course for preservice teachers (PSTs). The tool offers the possibility of implementing the design principle of profession orientation. In the article, we theoretically clarify what we understand by this principle and locate our innovative concept against this theoretical background. We empirically investigate the extent to which counteraction against the second discontinuity is successful by analyzing reflection texts created in the interface ePortfolio, focusing on PSTs’ perspectives. Our qualitative content analysis shows that most of them perceive the innovation as helpful in the intended sense and indicates that the course concept, in general, and the interface ePortfolio, in particular, have helped establish relevant links between the course content and their later work as teachers. article_type: original author: - first_name: Max full_name: Hoffmann, Max id: '32202' last_name: Hoffmann orcid: 0000-0002-6964-7123 - first_name: Rolf full_name: Biehler, Rolf id: '16274' last_name: Biehler citation: ama: Hoffmann M, Biehler R. Implementing profession orientation as a design principle for overcoming Klein’s second discontinuity – preservice teacher’s perspectives on interface activities in the context of a geometry course. ZDM – Mathematics Education. Published online 2023. doi:10.1007/s11858-023-01505-3 apa: Hoffmann, M., & Biehler, R. (2023). Implementing profession orientation as a design principle for overcoming Klein’s second discontinuity – preservice teacher’s perspectives on interface activities in the context of a geometry course. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-023-01505-3 bibtex: '@article{Hoffmann_Biehler_2023, title={Implementing profession orientation as a design principle for overcoming Klein’s second discontinuity – preservice teacher’s perspectives on interface activities in the context of a geometry course}, DOI={10.1007/s11858-023-01505-3}, journal={ZDM – Mathematics Education}, publisher={Springer}, author={Hoffmann, Max and Biehler, Rolf}, year={2023} }' chicago: Hoffmann, Max, and Rolf Biehler. “Implementing Profession Orientation as a Design Principle for Overcoming Klein’s Second Discontinuity – Preservice Teacher’s Perspectives on Interface Activities in the Context of a Geometry Course.” ZDM – Mathematics Education, 2023. https://doi.org/10.1007/s11858-023-01505-3. ieee: 'M. Hoffmann and R. Biehler, “Implementing profession orientation as a design principle for overcoming Klein’s second discontinuity – preservice teacher’s perspectives on interface activities in the context of a geometry course,” ZDM – Mathematics Education, 2023, doi: 10.1007/s11858-023-01505-3.' mla: Hoffmann, Max, and Rolf Biehler. “Implementing Profession Orientation as a Design Principle for Overcoming Klein’s Second Discontinuity – Preservice Teacher’s Perspectives on Interface Activities in the Context of a Geometry Course.” ZDM – Mathematics Education, Springer, 2023, doi:10.1007/s11858-023-01505-3. short: M. Hoffmann, R. Biehler, ZDM – Mathematics Education (2023). date_created: 2023-06-27T11:45:25Z date_updated: 2023-07-13T09:41:20Z ddc: - '510' - '370' department: - _id: '97' - _id: '643' doi: 10.1007/s11858-023-01505-3 file: - access_level: closed content_type: application/pdf creator: maxh date_created: 2023-07-13T09:40:02Z date_updated: 2023-07-13T09:40:02Z file_id: '46041' file_name: s11858-023-01505-3.pdf file_size: 1460246 relation: main_file success: 1 file_date_updated: 2023-07-13T09:40:02Z has_accepted_license: '1' keyword: - General Mathematics - Education language: - iso: eng main_file_link: - open_access: '1' url: https://link.springer.com/article/10.1007/s11858-023-01505-3 oa: '1' publication: ZDM – Mathematics Education publication_identifier: issn: - 1863-9690 - 1863-9704 publication_status: published publisher: Springer quality_controlled: '1' status: public title: Implementing profession orientation as a design principle for overcoming Klein’s second discontinuity – preservice teacher’s perspectives on interface activities in the context of a geometry course type: journal_article user_id: '32202' year: '2023' ... --- _id: '45816' article_number: '103832' author: - first_name: Peter full_name: Dieter, Peter id: '88592' last_name: Dieter - first_name: Miriam full_name: Stumpe, Miriam id: '64135' last_name: Stumpe - first_name: Marlin Wolf full_name: Ulmer, Marlin Wolf last_name: Ulmer - first_name: Guido full_name: Schryen, Guido id: '72850' last_name: Schryen citation: ama: Dieter P, Stumpe M, Ulmer MW, Schryen G. Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing. Transportation Research Part D. 2023;121. apa: Dieter, P., Stumpe, M., Ulmer, M. W., & Schryen, G. (2023). Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing. Transportation Research Part D, 121, Article 103832. bibtex: '@article{Dieter_Stumpe_Ulmer_Schryen_2023, title={Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing}, volume={121}, number={103832}, journal={Transportation Research Part D}, author={Dieter, Peter and Stumpe, Miriam and Ulmer, Marlin Wolf and Schryen, Guido}, year={2023} }' chicago: Dieter, Peter, Miriam Stumpe, Marlin Wolf Ulmer, and Guido Schryen. “Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing.” Transportation Research Part D 121 (2023). ieee: P. Dieter, M. Stumpe, M. W. Ulmer, and G. Schryen, “Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing,” Transportation Research Part D, vol. 121, Art. no. 103832, 2023. mla: Dieter, Peter, et al. “Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing.” Transportation Research Part D, vol. 121, 103832, 2023. short: P. Dieter, M. Stumpe, M.W. Ulmer, G. Schryen, Transportation Research Part D 121 (2023). date_created: 2023-06-30T09:40:40Z date_updated: 2023-07-13T19:24:01Z ddc: - '000' department: - _id: '277' file: - access_level: open_access content_type: application/pdf creator: mateskam date_created: 2023-06-30T09:35:54Z date_updated: 2023-06-30T09:35:54Z file_id: '45817' file_name: Dynamic_TRS_with_meeting_points_Final.pdf file_size: 7635511 relation: main_file file_date_updated: 2023-06-30T09:35:54Z has_accepted_license: '1' intvolume: ' 121' language: - iso: eng oa: '1' publication: Transportation Research Part D status: public title: Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing type: journal_article user_id: '72850' volume: 121 year: '2023' ... --- _id: '46102' author: - first_name: Jonas full_name: Leineweber, Jonas id: '45701' last_name: Leineweber orcid: 0000-0001-8616-3051 citation: ama: 'Leineweber J. Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum. H-Soz-Kult; 2023.' apa: 'Leineweber, J. (2023). Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum. H-Soz-Kult.' bibtex: '@book{Leineweber_2023, title={Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum}, publisher={H-Soz-Kult}, author={Leineweber, Jonas}, year={2023} }' chicago: 'Leineweber, Jonas. Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum. H-Soz-Kult, 2023.' ieee: 'J. Leineweber, Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum. H-Soz-Kult, 2023.' mla: 'Leineweber, Jonas. Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum. H-Soz-Kult, 2023.' short: 'J. Leineweber, Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum, H-Soz-Kult, 2023.' date_created: 2023-07-20T09:24:25Z date_updated: 2023-07-20T09:44:28Z department: - _id: '443' language: - iso: ger main_file_link: - open_access: '1' url: www.hsozkult.de/conferencereport/id/fdkn-137626 oa: '1' publication_status: published publisher: H-Soz-Kult status: public title: 'Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum' type: report user_id: '45701' year: '2023' ... --- _id: '46154' author: - first_name: Thomas full_name: Janzen, Thomas id: '89329' last_name: Janzen - first_name: Stephan full_name: Gabel, Stephan last_name: Gabel - first_name: Martha full_name: Gampert, Martha last_name: Gampert - first_name: Frauke full_name: Matz, Frauke last_name: Matz - first_name: Julia full_name: Reckermann, Julia last_name: Reckermann citation: ama: 'Janzen T, Gabel S, Gampert M, Matz F, Reckermann J. Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik. In: Mrohs L, Hess M, Lindner K, Schlüter J, Overhage S, eds. Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen. University of Bamberg Press; 2023:151-154.' apa: 'Janzen, T., Gabel, S., Gampert, M., Matz, F., & Reckermann, J. (2023). Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik. In L. Mrohs, M. Hess, K. Lindner, J. Schlüter, & S. Overhage (Eds.), Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen (pp. 151–154). University of Bamberg Press.' bibtex: '@inbook{Janzen_Gabel_Gampert_Matz_Reckermann_2023, place={Bamberg}, title={Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik}, booktitle={Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen}, publisher={University of Bamberg Press}, author={Janzen, Thomas and Gabel, Stephan and Gampert, Martha and Matz, Frauke and Reckermann, Julia}, editor={Mrohs, Lorenz and Hess, Miriam and Lindner, Konstantin and Schlüter, Julia and Overhage, Sven}, year={2023}, pages={151–154} }' chicago: 'Janzen, Thomas, Stephan Gabel, Martha Gampert, Frauke Matz, and Julia Reckermann. “Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik.” In Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen, edited by Lorenz Mrohs, Miriam Hess, Konstantin Lindner, Julia Schlüter, and Sven Overhage, 151–54. Bamberg: University of Bamberg Press, 2023.' ieee: 'T. Janzen, S. Gabel, M. Gampert, F. Matz, and J. Reckermann, “Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik,” in Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen, L. Mrohs, M. Hess, K. Lindner, J. Schlüter, and S. Overhage, Eds. Bamberg: University of Bamberg Press, 2023, pp. 151–154.' mla: 'Janzen, Thomas, et al. “Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik.” Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen, edited by Lorenz Mrohs et al., University of Bamberg Press, 2023, pp. 151–54.' short: 'T. Janzen, S. Gabel, M. Gampert, F. Matz, J. Reckermann, in: L. Mrohs, M. Hess, K. Lindner, J. Schlüter, S. Overhage (Eds.), Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen, University of Bamberg Press, Bamberg, 2023, pp. 151–154.' date_created: 2023-07-26T07:43:00Z date_updated: 2023-07-26T07:43:35Z editor: - first_name: Lorenz full_name: Mrohs, Lorenz last_name: Mrohs - first_name: Miriam full_name: Hess, Miriam last_name: Hess - first_name: Konstantin full_name: Lindner, Konstantin last_name: Lindner - first_name: Julia full_name: Schlüter, Julia last_name: Schlüter - first_name: Sven full_name: Overhage, Sven last_name: Overhage language: - iso: ger main_file_link: - open_access: '1' url: https://fis.uni-bamberg.de/server/api/core/bitstreams/66b34f39-efd1-4755-9b4a-d528853441fd/content oa: '1' page: 151-154 place: Bamberg publication: Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen publication_identifier: unknown: - 978-3-86309-887-2 publisher: University of Bamberg Press status: public title: 'Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik' type: book_chapter user_id: '89329' year: '2023' ... --- _id: '38041' abstract: - lang: eng text: "While FPGA accelerator boards and their respective high-level design tools are maturing, there is still a lack of multi-FPGA applications, libraries, and not least, benchmarks and reference implementations towards sustained HPC usage of these devices. As in the early days of GPUs in HPC, for workloads that can reasonably be decoupled into loosely coupled working sets, multi-accelerator support can be achieved by using standard communication interfaces like MPI on the host side. However, for performance and productivity, some applications can profit from a tighter coupling of the accelerators. FPGAs offer unique opportunities here when extending the dataflow characteristics to their communication interfaces.\r\n \ In this work, we extend the HPCC FPGA benchmark suite by multi-FPGA support and three missing benchmarks that particularly characterize or stress inter-device communication: b_eff, PTRANS, and LINPACK. With all benchmarks implemented for current boards with Intel and Xilinx FPGAs, we established a baseline for multi-FPGA performance. Additionally, for the communication-centric benchmarks, we explored the potential of direct FPGA-to-FPGA communication with a circuit-switched inter-FPGA network that is currently only available for one of the boards. The evaluation with parallel execution on up to 26 FPGA boards makes use of one of the largest academic FPGA installations." author: - first_name: Marius full_name: Meyer, Marius id: '40778' last_name: Meyer - first_name: Tobias full_name: Kenter, Tobias id: '3145' last_name: Kenter - first_name: Christian full_name: Plessl, Christian id: '16153' last_name: Plessl orcid: 0000-0001-5728-9982 citation: ama: Meyer M, Kenter T, Plessl C. Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions on Reconfigurable Technology and Systems. Published online 2023. doi:10.1145/3576200 apa: Meyer, M., Kenter, T., & Plessl, C. (2023). Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions on Reconfigurable Technology and Systems. https://doi.org/10.1145/3576200 bibtex: '@article{Meyer_Kenter_Plessl_2023, title={Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks}, DOI={10.1145/3576200}, journal={ACM Transactions on Reconfigurable Technology and Systems}, publisher={Association for Computing Machinery (ACM)}, author={Meyer, Marius and Kenter, Tobias and Plessl, Christian}, year={2023} }' chicago: Meyer, Marius, Tobias Kenter, and Christian Plessl. “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks.” ACM Transactions on Reconfigurable Technology and Systems, 2023. https://doi.org/10.1145/3576200. ieee: 'M. Meyer, T. Kenter, and C. Plessl, “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks,” ACM Transactions on Reconfigurable Technology and Systems, 2023, doi: 10.1145/3576200.' mla: Meyer, Marius, et al. “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks.” ACM Transactions on Reconfigurable Technology and Systems, Association for Computing Machinery (ACM), 2023, doi:10.1145/3576200. short: M. Meyer, T. Kenter, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (2023). date_created: 2023-01-23T08:40:42Z date_updated: 2023-07-28T08:02:05Z department: - _id: '27' - _id: '518' doi: 10.1145/3576200 keyword: - General Computer Science language: - iso: eng main_file_link: - open_access: '1' url: https://dl.acm.org/doi/10.1145/3576200 oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901' - _id: '14' grant_number: '160364472' name: 'SFB 901 - C2: SFB 901 - Subproject C2' publication: ACM Transactions on Reconfigurable Technology and Systems publication_identifier: issn: - 1936-7406 - 1936-7414 publication_status: published publisher: Association for Computing Machinery (ACM) quality_controlled: '1' status: public title: Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks type: journal_article user_id: '24135' year: '2023' ... --- _id: '45893' author: - first_name: Tim full_name: Hansmeier, Tim id: '49992' last_name: Hansmeier orcid: 0000-0003-1377-3339 - first_name: Tobias full_name: Kenter, Tobias id: '3145' last_name: Kenter - first_name: Marius full_name: Meyer, Marius id: '40778' last_name: Meyer - first_name: Heinrich full_name: Riebler, Heinrich id: '8961' last_name: Riebler - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner - first_name: Christian full_name: Plessl, Christian id: '16153' last_name: Plessl orcid: 0000-0001-5728-9982 citation: ama: 'Hansmeier T, Kenter T, Meyer M, Riebler H, Platzner M, Plessl C. Compute Centers I: Heterogeneous Execution Environments. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:165-182. doi:10.5281/zenodo.8068642' apa: 'Hansmeier, T., Kenter, T., Meyer, M., Riebler, H., Platzner, M., & Plessl, C. (2023). Compute Centers I: Heterogeneous Execution Environments. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 165–182). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068642' bibtex: '@inbook{Hansmeier_Kenter_Meyer_Riebler_Platzner_Plessl_2023, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Compute Centers I: Heterogeneous Execution Environments}, volume={412}, DOI={10.5281/zenodo.8068642}, booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Hansmeier, Tim and Kenter, Tobias and Meyer, Marius and Riebler, Heinrich and Platzner, Marco and Plessl, Christian}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, pages={165–182}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }' chicago: 'Hansmeier, Tim, Tobias Kenter, Marius Meyer, Heinrich Riebler, Marco Platzner, and Christian Plessl. “Compute Centers I: Heterogeneous Execution Environments.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:165–82. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068642.' ieee: 'T. Hansmeier, T. Kenter, M. Meyer, H. Riebler, M. Platzner, and C. Plessl, “Compute Centers I: Heterogeneous Execution Environments,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 165–182.' mla: 'Hansmeier, Tim, et al. “Compute Centers I: Heterogeneous Execution Environments.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 165–82, doi:10.5281/zenodo.8068642.' short: 'T. Hansmeier, T. Kenter, M. Meyer, H. Riebler, M. Platzner, C. Plessl, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 165–182.' date_created: 2023-07-07T08:15:45Z date_updated: 2023-07-28T09:38:14Z ddc: - '004' department: - _id: '7' - _id: '27' - _id: '518' doi: 10.5281/zenodo.8068642 editor: - first_name: Claus-Jochen full_name: Haake, Claus-Jochen last_name: Haake - first_name: Friedhelm full_name: Meyer auf der Heide, Friedhelm last_name: Meyer auf der Heide - first_name: Marco full_name: Platzner, Marco last_name: Platzner - first_name: Henning full_name: Wachsmuth, Henning last_name: Wachsmuth - first_name: Heike full_name: Wehrheim, Heike last_name: Wehrheim file: - access_level: open_access content_type: application/pdf creator: florida date_created: 2023-07-07T08:15:35Z date_updated: 2023-07-07T11:17:33Z file_id: '45894' file_name: C2-Chapter-SFB-Buch-Final.pdf file_size: 2288788 relation: main_file file_date_updated: 2023-07-07T11:17:33Z has_accepted_license: '1' intvolume: ' 412' language: - iso: eng oa: '1' page: 165-182 place: Paderborn project: - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '14' grant_number: '160364472' name: 'SFB 901 - C2: SFB 901 - On-The-Fly Compute Centers I: Heterogene Ausführungsumgebungen (Subproject C2)' publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets publisher: Heinz Nixdorf Institut, Universität Paderborn series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts status: public title: 'Compute Centers I: Heterogeneous Execution Environments' type: book_chapter user_id: '3145' volume: 412 year: '2023' ... --- _id: '46190' author: - first_name: Jan-Oliver full_name: Opdenhövel, Jan-Oliver last_name: Opdenhövel - first_name: Christian full_name: Plessl, Christian id: '16153' last_name: Plessl orcid: 0000-0001-5728-9982 - first_name: Tobias full_name: Kenter, Tobias id: '3145' last_name: Kenter citation: ama: 'Opdenhövel J-O, Plessl C, Kenter T. Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation. In: Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ACM; 2023. doi:10.1145/3597031.3597050' apa: Opdenhövel, J.-O., Plessl, C., & Kenter, T. (2023). Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation. Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. https://doi.org/10.1145/3597031.3597050 bibtex: '@inproceedings{Opdenhövel_Plessl_Kenter_2023, title={Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation}, DOI={10.1145/3597031.3597050}, booktitle={Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies}, publisher={ACM}, author={Opdenhövel, Jan-Oliver and Plessl, Christian and Kenter, Tobias}, year={2023} }' chicago: Opdenhövel, Jan-Oliver, Christian Plessl, and Tobias Kenter. “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation.” In Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ACM, 2023. https://doi.org/10.1145/3597031.3597050. ieee: 'J.-O. Opdenhövel, C. Plessl, and T. Kenter, “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation,” 2023, doi: 10.1145/3597031.3597050.' mla: Opdenhövel, Jan-Oliver, et al. “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation.” Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2023, doi:10.1145/3597031.3597050. short: 'J.-O. Opdenhövel, C. Plessl, T. Kenter, in: Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2023.' date_created: 2023-07-28T09:49:23Z date_updated: 2023-07-28T09:58:06Z department: - _id: '27' - _id: '518' doi: 10.1145/3597031.3597050 language: - iso: eng main_file_link: - open_access: '1' url: https://dl.acm.org/doi/pdf/10.1145/3597031.3597050 oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies publication_status: published publisher: ACM quality_controlled: '1' status: public title: Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation type: conference user_id: '3145' year: '2023' ... --- _id: '46188' author: - first_name: Jennifer full_name: Faj, Jennifer id: '78722' last_name: Faj - first_name: Tobias full_name: Kenter, Tobias id: '3145' last_name: Kenter - first_name: Sara full_name: Faghih-Naini, Sara last_name: Faghih-Naini - first_name: Christian full_name: Plessl, Christian id: '16153' last_name: Plessl orcid: 0000-0001-5728-9982 - first_name: Vadym full_name: Aizinger, Vadym last_name: Aizinger citation: ama: 'Faj J, Kenter T, Faghih-Naini S, Plessl C, Aizinger V. Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes. In: Proceedings of the Platform for Advanced Scientific Computing Conference. ACM; 2023. doi:10.1145/3592979.3593407' apa: Faj, J., Kenter, T., Faghih-Naini, S., Plessl, C., & Aizinger, V. (2023). Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes. Proceedings of the Platform for Advanced Scientific Computing Conference. https://doi.org/10.1145/3592979.3593407 bibtex: '@inproceedings{Faj_Kenter_Faghih-Naini_Plessl_Aizinger_2023, title={Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes}, DOI={10.1145/3592979.3593407}, booktitle={Proceedings of the Platform for Advanced Scientific Computing Conference}, publisher={ACM}, author={Faj, Jennifer and Kenter, Tobias and Faghih-Naini, Sara and Plessl, Christian and Aizinger, Vadym}, year={2023} }' chicago: Faj, Jennifer, Tobias Kenter, Sara Faghih-Naini, Christian Plessl, and Vadym Aizinger. “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes.” In Proceedings of the Platform for Advanced Scientific Computing Conference. ACM, 2023. https://doi.org/10.1145/3592979.3593407. ieee: 'J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, and V. Aizinger, “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes,” 2023, doi: 10.1145/3592979.3593407.' mla: Faj, Jennifer, et al. “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes.” Proceedings of the Platform for Advanced Scientific Computing Conference, ACM, 2023, doi:10.1145/3592979.3593407. short: 'J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, V. Aizinger, in: Proceedings of the Platform for Advanced Scientific Computing Conference, ACM, 2023.' date_created: 2023-07-28T09:42:14Z date_updated: 2023-07-28T09:48:19Z department: - _id: '27' - _id: '518' doi: 10.1145/3592979.3593407 language: - iso: eng main_file_link: - open_access: '1' url: https://dl.acm.org/doi/pdf/10.1145/3592979.3593407 oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: Proceedings of the Platform for Advanced Scientific Computing Conference publication_status: published publisher: ACM quality_controlled: '1' status: public title: Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes type: conference user_id: '3145' year: '2023' ... --- _id: '46189' author: - first_name: Charles full_name: Prouveur, Charles last_name: Prouveur - first_name: Matthieu full_name: Haefele, Matthieu last_name: Haefele - first_name: Tobias full_name: Kenter, Tobias id: '3145' last_name: Kenter - first_name: Nils full_name: Voss, Nils last_name: Voss citation: ama: 'Prouveur C, Haefele M, Kenter T, Voss N. FPGA Acceleration for HPC Supercapacitor Simulations. In: Proceedings of the Platform for Advanced Scientific Computing Conference. ACM; 2023. doi:10.1145/3592979.3593419' apa: Prouveur, C., Haefele, M., Kenter, T., & Voss, N. (2023). FPGA Acceleration for HPC Supercapacitor Simulations. Proceedings of the Platform for Advanced Scientific Computing Conference. https://doi.org/10.1145/3592979.3593419 bibtex: '@inproceedings{Prouveur_Haefele_Kenter_Voss_2023, title={FPGA Acceleration for HPC Supercapacitor Simulations}, DOI={10.1145/3592979.3593419}, booktitle={Proceedings of the Platform for Advanced Scientific Computing Conference}, publisher={ACM}, author={Prouveur, Charles and Haefele, Matthieu and Kenter, Tobias and Voss, Nils}, year={2023} }' chicago: Prouveur, Charles, Matthieu Haefele, Tobias Kenter, and Nils Voss. “FPGA Acceleration for HPC Supercapacitor Simulations.” In Proceedings of the Platform for Advanced Scientific Computing Conference. ACM, 2023. https://doi.org/10.1145/3592979.3593419. ieee: 'C. Prouveur, M. Haefele, T. Kenter, and N. Voss, “FPGA Acceleration for HPC Supercapacitor Simulations,” 2023, doi: 10.1145/3592979.3593419.' mla: Prouveur, Charles, et al. “FPGA Acceleration for HPC Supercapacitor Simulations.” Proceedings of the Platform for Advanced Scientific Computing Conference, ACM, 2023, doi:10.1145/3592979.3593419. short: 'C. Prouveur, M. Haefele, T. Kenter, N. Voss, in: Proceedings of the Platform for Advanced Scientific Computing Conference, ACM, 2023.' date_created: 2023-07-28T09:46:25Z date_updated: 2023-07-28T09:58:16Z department: - _id: '27' - _id: '518' doi: 10.1145/3592979.3593419 language: - iso: eng main_file_link: - open_access: '1' url: https://dl.acm.org/doi/pdf/10.1145/3592979.3593419 oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: Proceedings of the Platform for Advanced Scientific Computing Conference publication_status: published publisher: ACM quality_controlled: '1' status: public title: FPGA Acceleration for HPC Supercapacitor Simulations type: conference user_id: '3145' year: '2023' ... --- _id: '46243' author: - first_name: Caglar full_name: Demir, Caglar id: '43817' last_name: Demir - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille last_name: Ngonga Ngomo citation: ama: Demir C, Ngonga Ngomo A-C. Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras. ECML-PKDD. Published online 2023. apa: Demir, C., & Ngonga Ngomo, A.-C. (2023). Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras. ECML-PKDD. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Torino. bibtex: '@article{Demir_Ngonga Ngomo_2023, title={Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras}, journal={ECML-PKDD}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }' chicago: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras.” ECML-PKDD, 2023. ieee: C. Demir and A.-C. Ngonga Ngomo, “Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras,” ECML-PKDD, 2023. mla: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras.” ECML-PKDD, 2023. short: C. Demir, A.-C. Ngonga Ngomo, ECML-PKDD (2023). conference: location: Torino name: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases date_created: 2023-08-01T09:12:06Z date_updated: 2023-08-01T09:22:40Z ddc: - '000' file: - access_level: open_access content_type: application/pdf creator: cdemir date_created: 2023-08-01T09:11:59Z date_updated: 2023-08-01T09:11:59Z file_id: '46244' file_name: public.pdf file_size: 408352 relation: main_file file_date_updated: 2023-08-01T09:11:59Z has_accepted_license: '1' language: - iso: eng oa: '1' project: - _id: '407' grant_number: '101070305' name: 'ENEXA: Efficient Explainable Learning on Knowledge Graphs' - _id: '410' name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale' - _id: '285' grant_number: NW21-059D name: 'SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems' publication: ECML-PKDD status: public title: Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras type: journal_article user_id: '43817' year: '2023' ... --- _id: '46251' author: - first_name: Caglar full_name: Demir, Caglar id: '43817' last_name: Demir - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille last_name: Ngonga Ngomo citation: ama: Demir C, Ngonga Ngomo A-C. Neuro-Symbolic Class Expression Learning. International Joint Conference on Artificial Intelligence. Published online 2023. apa: Demir, C., & Ngonga Ngomo, A.-C. (2023). Neuro-Symbolic Class Expression Learning. International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence IJCAI 2023, Macau. bibtex: '@article{Demir_Ngonga Ngomo_2023, title={Neuro-Symbolic Class Expression Learning}, journal={International Joint Conference on Artificial Intelligence}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }' chicago: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression Learning.” International Joint Conference on Artificial Intelligence, 2023. ieee: C. Demir and A.-C. Ngonga Ngomo, “Neuro-Symbolic Class Expression Learning,” International Joint Conference on Artificial Intelligence, 2023. mla: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression Learning.” International Joint Conference on Artificial Intelligence, 2023. short: C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023). conference: location: Macau name: International Joint Conference on Artificial Intelligence IJCAI 2023 date_created: 2023-08-01T09:30:37Z date_updated: 2023-08-01T09:44:30Z ddc: - '000' department: - _id: '574' file: - access_level: open_access content_type: application/pdf creator: cdemir date_created: 2023-08-01T09:30:35Z date_updated: 2023-08-01T09:30:35Z file_id: '46252' file_name: public.pdf file_size: 340865 relation: main_file file_date_updated: 2023-08-01T09:30:35Z has_accepted_license: '1' language: - iso: eng oa: '1' project: - _id: '407' grant_number: '101070305' name: 'ENEXA: Efficient Explainable Learning on Knowledge Graphs' - _id: '410' name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale' - _id: '285' grant_number: NW21-059D name: 'SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems' publication: International Joint Conference on Artificial Intelligence status: public title: Neuro-Symbolic Class Expression Learning type: journal_article user_id: '43817' year: '2023' ... --- _id: '45361' abstract: - lang: eng text: The non-orthogonal local submatrix method applied to electronic structure–based molecular dynamics simulations is shown to exceed 1.1 EFLOP/s in FP16/FP32-mixed floating-point arithmetic when using 4400 NVIDIA A100 GPUs of the Perlmutter system. This is enabled by a modification of the original method that pushes the sustained fraction of the peak performance to about 80%. Example calculations are performed for SARS-CoV-2 spike proteins with up to 83 million atoms. article_number: '109434202311776' article_type: original author: - first_name: Robert full_name: Schade, Robert id: '75963' last_name: Schade orcid: 0000-0002-6268-539 - first_name: Tobias full_name: Kenter, Tobias id: '3145' last_name: Kenter - first_name: Hossam full_name: Elgabarty, Hossam id: '60250' last_name: Elgabarty orcid: 0000-0002-4945-1481 - first_name: Michael full_name: Lass, Michael id: '24135' last_name: Lass orcid: 0000-0002-5708-7632 - first_name: Thomas full_name: Kühne, Thomas id: '49079' last_name: Kühne - first_name: Christian full_name: Plessl, Christian id: '16153' last_name: Plessl orcid: 0000-0001-5728-9982 citation: ama: Schade R, Kenter T, Elgabarty H, Lass M, Kühne T, Plessl C. Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications. Published online 2023. doi:10.1177/10943420231177631 apa: Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., & Plessl, C. (2023). Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications, Article 109434202311776. https://doi.org/10.1177/10943420231177631 bibtex: '@article{Schade_Kenter_Elgabarty_Lass_Kühne_Plessl_2023, title={Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics}, DOI={10.1177/10943420231177631}, number={109434202311776}, journal={The International Journal of High Performance Computing Applications}, publisher={SAGE Publications}, author={Schade, Robert and Kenter, Tobias and Elgabarty, Hossam and Lass, Michael and Kühne, Thomas and Plessl, Christian}, year={2023} }' chicago: Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas Kühne, and Christian Plessl. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.” The International Journal of High Performance Computing Applications, 2023. https://doi.org/10.1177/10943420231177631. ieee: 'R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, and C. Plessl, “Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics,” The International Journal of High Performance Computing Applications, Art. no. 109434202311776, 2023, doi: 10.1177/10943420231177631.' mla: Schade, Robert, et al. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.” The International Journal of High Performance Computing Applications, 109434202311776, SAGE Publications, 2023, doi:10.1177/10943420231177631. short: R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023). date_created: 2023-05-30T09:19:09Z date_updated: 2023-08-02T15:04:53Z department: - _id: '27' - _id: '518' doi: 10.1177/10943420231177631 keyword: - Hardware and Architecture - Theoretical Computer Science - Software language: - iso: eng main_file_link: - open_access: '1' url: https://journals.sagepub.com/doi/10.1177/10943420231177631 oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: The International Journal of High Performance Computing Applications publication_identifier: issn: - 1094-3420 - 1741-2846 publication_status: published publisher: SAGE Publications quality_controlled: '1' status: public title: Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics type: journal_article user_id: '75963' year: '2023' ... --- _id: '45780' author: - first_name: Alexander full_name: Tornede, Alexander id: '38209' last_name: Tornede citation: ama: 'Tornede A. Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions.; 2023. doi:10.17619/UNIPB/1-1780 ' apa: 'Tornede, A. (2023). Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions. https://doi.org/10.17619/UNIPB/1-1780 ' bibtex: '@book{Tornede_2023, title={Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions}, DOI={10.17619/UNIPB/1-1780 }, author={Tornede, Alexander}, year={2023} }' chicago: 'Tornede, Alexander. Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023. https://doi.org/10.17619/UNIPB/1-1780 .' ieee: 'A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions. 2023.' mla: 'Tornede, Alexander. Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions. 2023, doi:10.17619/UNIPB/1-1780 .' short: 'A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.' date_created: 2023-06-27T05:20:14Z date_updated: 2023-08-04T06:01:49Z ddc: - '006' department: - _id: '355' doi: '10.17619/UNIPB/1-1780 ' file: - access_level: open_access content_type: application/pdf creator: ahetzer date_created: 2023-07-24T08:40:35Z date_updated: 2023-07-24T08:42:01Z file_id: '46118' file_name: dissertation_alexander_tornede_final_publishing_compressed.pdf file_size: 4300633 relation: main_file title: ' Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions' file_date_updated: 2023-07-24T08:42:01Z has_accepted_license: '1' language: - iso: eng oa: '1' project: - _id: '10' grant_number: '160364472' name: 'SFB 901 - B2: Konfiguration und Bewertung (B02)' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' status: public supervisor: - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier title: 'Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions' type: dissertation user_id: '15504' year: '2023' ... --- _id: '42163' abstract: - lang: eng text: 'The article shows how to learn models of dynamical systems from data which are governed by an unknown variational PDE. Rather than employing reduction techniques, we learn a discrete field theory governed by a discrete Lagrangian density $L_d$ that is modelled as a neural network. Careful regularisation of the loss function for training $L_d$ is necessary to obtain a field theory that is suitable for numerical computations: we derive a regularisation term which optimises the solvability of the discrete Euler--Lagrange equations. Secondly, we develop a method to find solutions to machine learned discrete field theories which constitute travelling waves of the underlying continuous PDE.' author: - first_name: Christian full_name: Offen, Christian id: '85279' last_name: Offen orcid: 0000-0002-5940-8057 - first_name: Sina full_name: Ober-Blöbaum, Sina id: '16494' last_name: Ober-Blöbaum citation: ama: 'Offen C, Ober-Blöbaum S. Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves. In: Nielsen F, Barbaresco F, eds. Geometric Science of Information. Vol 14071. Lecture Notes in Computer Science (LNCS). Springer, Cham.; 2023:569-579. doi:10.1007/978-3-031-38271-0_57' apa: Offen, C., & Ober-Blöbaum, S. (2023). Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves. In F. Nielsen & F. Barbaresco (Eds.), Geometric Science of Information (Vol. 14071, pp. 569–579). Springer, Cham. https://doi.org/10.1007/978-3-031-38271-0_57 bibtex: '@inproceedings{Offen_Ober-Blöbaum_2023, series={Lecture Notes in Computer Science (LNCS)}, title={Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves}, volume={14071}, DOI={10.1007/978-3-031-38271-0_57}, booktitle={Geometric Science of Information}, publisher={Springer, Cham.}, author={Offen, Christian and Ober-Blöbaum, Sina}, editor={Nielsen, F and Barbaresco, F}, year={2023}, pages={569–579}, collection={Lecture Notes in Computer Science (LNCS)} }' chicago: Offen, Christian, and Sina Ober-Blöbaum. “Learning Discrete Lagrangians for Variational PDEs from Data and Detection of Travelling Waves.” In Geometric Science of Information, edited by F Nielsen and F Barbaresco, 14071:569–79. Lecture Notes in Computer Science (LNCS). Springer, Cham., 2023. https://doi.org/10.1007/978-3-031-38271-0_57. ieee: 'C. Offen and S. Ober-Blöbaum, “Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves,” in Geometric Science of Information, Saint-Malo, Palais du Grand Large, France, 2023, vol. 14071, pp. 569–579, doi: 10.1007/978-3-031-38271-0_57.' mla: Offen, Christian, and Sina Ober-Blöbaum. “Learning Discrete Lagrangians for Variational PDEs from Data and Detection of Travelling Waves.” Geometric Science of Information, edited by F Nielsen and F Barbaresco, vol. 14071, Springer, Cham., 2023, pp. 569–79, doi:10.1007/978-3-031-38271-0_57. short: 'C. Offen, S. Ober-Blöbaum, in: F. Nielsen, F. Barbaresco (Eds.), Geometric Science of Information, Springer, Cham., 2023, pp. 569–579.' conference: end_date: 2023-09-01 location: Saint-Malo, Palais du Grand Large, France name: ' GSI''23 6th International Conference on Geometric Science of Information' start_date: 2023-08-30 date_created: 2023-02-16T11:32:48Z date_updated: 2023-08-10T08:34:04Z ddc: - '510' department: - _id: '636' doi: 10.1007/978-3-031-38271-0_57 editor: - first_name: F full_name: Nielsen, F last_name: Nielsen - first_name: F full_name: Barbaresco, F last_name: Barbaresco external_id: arxiv: - '2302.08232 ' file: - access_level: open_access content_type: application/pdf creator: coffen date_created: 2023-08-02T12:04:17Z date_updated: 2023-08-02T12:04:17Z description: |- The article shows how to learn models of dynamical systems from data which are governed by an unknown variational PDE. Rather than employing reduction techniques, we learn a discrete field theory governed by a discrete Lagrangian density Ld that is modelled as a neural network. Careful regularisation of the loss function for training Ld is necessary to obtain a field theory that is suitable for numerical computations: we derive a regularisation term which optimises the solvability of the discrete Euler–Lagrange equations. Secondly, we develop a method to find solutions to machine learned discrete field theories which constitute travelling waves of the underlying continuous PDE. file_id: '46273' file_name: LDensityLearning.pdf file_size: 1938962 relation: main_file title: Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves file_date_updated: 2023-08-02T12:04:17Z has_accepted_license: '1' intvolume: ' 14071' keyword: - System identification - discrete Lagrangians - travelling waves language: - iso: eng oa: '1' page: 569-579 publication: Geometric Science of Information publication_identifier: eisbn: - 978-3-031-38271-0 publication_status: published publisher: Springer, Cham. quality_controlled: '1' related_material: link: - description: GitHub relation: software url: https://github.com/Christian-Offen/LagrangianDensityML series_title: Lecture Notes in Computer Science (LNCS) status: public title: Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves type: conference user_id: '85279' volume: 14071 year: '2023' ... --- _id: '29240' abstract: - lang: eng text: "The principle of least action is one of the most fundamental physical principle. It says that among all possible motions connecting two points in a phase space, the system will exhibit those motions which extremise an action functional. Many qualitative features of dynamical systems, such as the presence of conservation laws and energy balance equations, are related to the existence of an action functional. Incorporating variational structure into learning algorithms for dynamical systems is, therefore, crucial in order to make sure that the learned model shares important features with the exact physical system. In this paper we show how to incorporate variational principles into trajectory predictions of learned dynamical systems. The novelty of this work is that (1) our technique relies only on discrete position data of observed trajectories. Velocities or conjugate momenta do not need to be observed or approximated and no prior knowledge about the form of the variational principle is assumed. Instead, they are recovered using backward error analysis. (2) Moreover, our technique compensates discretisation errors when trajectories are computed from the learned system. This is important when moderate to large step-sizes are used and high accuracy is required. For this,\r\nwe introduce and rigorously analyse the concept of inverse modified Lagrangians by developing an inverse version of variational backward error analysis. (3) Finally, we introduce a method to perform system identification from position observations only, based on variational backward error analysis." article_type: original author: - first_name: Sina full_name: Ober-Blöbaum, Sina id: '16494' last_name: Ober-Blöbaum - first_name: Christian full_name: Offen, Christian id: '85279' last_name: Offen orcid: 0000-0002-5940-8057 citation: ama: Ober-Blöbaum S, Offen C. Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics. 2023;421:114780. doi:10.1016/j.cam.2022.114780 apa: Ober-Blöbaum, S., & Offen, C. (2023). Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics, 421, 114780. https://doi.org/10.1016/j.cam.2022.114780 bibtex: '@article{Ober-Blöbaum_Offen_2023, title={Variational Learning of Euler–Lagrange Dynamics from Data}, volume={421}, DOI={10.1016/j.cam.2022.114780}, journal={Journal of Computational and Applied Mathematics}, publisher={Elsevier}, author={Ober-Blöbaum, Sina and Offen, Christian}, year={2023}, pages={114780} }' chicago: 'Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” Journal of Computational and Applied Mathematics 421 (2023): 114780. https://doi.org/10.1016/j.cam.2022.114780.' ieee: 'S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics from Data,” Journal of Computational and Applied Mathematics, vol. 421, p. 114780, 2023, doi: 10.1016/j.cam.2022.114780.' mla: Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” Journal of Computational and Applied Mathematics, vol. 421, Elsevier, 2023, p. 114780, doi:10.1016/j.cam.2022.114780. short: S. Ober-Blöbaum, C. Offen, Journal of Computational and Applied Mathematics 421 (2023) 114780. date_created: 2022-01-11T13:24:00Z date_updated: 2023-08-10T08:42:39Z ddc: - '510' department: - _id: '636' doi: 10.1016/j.cam.2022.114780 external_id: arxiv: - '2112.12619' file: - access_level: open_access content_type: application/pdf creator: coffen date_created: 2022-06-28T15:25:50Z date_updated: 2022-06-28T15:25:50Z description: |- The principle of least action is one of the most fundamental physical principle. It says that among all possible motions connecting two points in a phase space, the system will exhibit those motions which extremise an action functional. Many qualitative features of dynamical systems, such as the presence of conservation laws and energy balance equa- tions, are related to the existence of an action functional. Incorporating variational structure into learning algorithms for dynamical systems is, therefore, crucial in order to make sure that the learned model shares important features with the exact physical system. In this paper we show how to incorporate variational principles into trajectory predic- tions of learned dynamical systems. The novelty of this work is that (1) our technique relies only on discrete position data of observed trajectories. Velocities or conjugate momenta do not need to be observed or approximated and no prior knowledge about the form of the variational principle is assumed. Instead, they are recovered using backward error analysis. (2) Moreover, our technique compensates discretisation errors when trajectories are computed from the learned system. This is important when moderate to large step-sizes are used and high accuracy is required. For this, we introduce and rigorously analyse the concept of inverse modified Lagrangians by developing an inverse version of variational backward error analysis. (3) Finally, we introduce a method to perform system identification from position observations only, based on variational backward error analysis. file_id: '32274' file_name: ShadowLagrangian_revision1_journal_style_arxiv.pdf file_size: 3640770 relation: main_file title: Variational Learning of Euler–Lagrange Dynamics from Data file_date_updated: 2022-06-28T15:25:50Z has_accepted_license: '1' intvolume: ' 421' keyword: - Lagrangian learning - variational backward error analysis - modified Lagrangian - variational integrators - physics informed learning language: - iso: eng oa: '1' page: '114780' publication: Journal of Computational and Applied Mathematics publication_identifier: issn: - 0377-0427 publication_status: epub_ahead publisher: Elsevier quality_controlled: '1' related_material: link: - relation: software url: https://github.com/Christian-Offen/LagrangianShadowIntegration status: public title: Variational Learning of Euler–Lagrange Dynamics from Data type: journal_article user_id: '85279' volume: 421 year: '2023' ... --- _id: '29236' abstract: - lang: eng text: The numerical solution of an ordinary differential equation can be interpreted as the exact solution of a nearby modified equation. Investigating the behaviour of numerical solutions by analysing the modified equation is known as backward error analysis. If the original and modified equation share structural properties, then the exact and approximate solution share geometric features such as the existence of conserved quantities. Conjugate symplectic methods preserve a modified symplectic form and a modified Hamiltonian when applied to a Hamiltonian system. We show how a blended version of variational and symplectic techniques can be used to compute modified symplectic and Hamiltonian structures. In contrast to other approaches, our backward error analysis method does not rely on an ansatz but computes the structures systematically, provided that a variational formulation of the method is known. The technique is illustrated on the example of symmetric linear multistep methods with matrix coefficients. article_type: original author: - first_name: Robert full_name: McLachlan, Robert last_name: McLachlan - first_name: Christian full_name: Offen, Christian id: '85279' last_name: Offen orcid: 0000-0002-5940-8057 citation: ama: McLachlan R, Offen C. Backward error analysis for conjugate symplectic methods. Journal of Geometric Mechanics. 2023;15(1):98-115. doi:10.3934/jgm.2023005 apa: McLachlan, R., & Offen, C. (2023). Backward error analysis for conjugate symplectic methods. Journal of Geometric Mechanics, 15(1), 98–115. https://doi.org/10.3934/jgm.2023005 bibtex: '@article{McLachlan_Offen_2023, title={Backward error analysis for conjugate symplectic methods}, volume={15}, DOI={10.3934/jgm.2023005}, number={1}, journal={Journal of Geometric Mechanics}, publisher={AIMS Press}, author={McLachlan, Robert and Offen, Christian}, year={2023}, pages={98–115} }' chicago: 'McLachlan, Robert, and Christian Offen. “Backward Error Analysis for Conjugate Symplectic Methods.” Journal of Geometric Mechanics 15, no. 1 (2023): 98–115. https://doi.org/10.3934/jgm.2023005.' ieee: 'R. McLachlan and C. Offen, “Backward error analysis for conjugate symplectic methods,” Journal of Geometric Mechanics, vol. 15, no. 1, pp. 98–115, 2023, doi: 10.3934/jgm.2023005.' mla: McLachlan, Robert, and Christian Offen. “Backward Error Analysis for Conjugate Symplectic Methods.” Journal of Geometric Mechanics, vol. 15, no. 1, AIMS Press, 2023, pp. 98–115, doi:10.3934/jgm.2023005. short: R. McLachlan, C. Offen, Journal of Geometric Mechanics 15 (2023) 98–115. date_created: 2022-01-11T12:48:39Z date_updated: 2023-08-10T08:40:30Z ddc: - '510' department: - _id: '636' doi: 10.3934/jgm.2023005 external_id: arxiv: - '2201.03911' file: - access_level: open_access content_type: application/pdf creator: coffen date_created: 2022-08-12T16:48:59Z date_updated: 2022-08-12T16:48:59Z description: The numerical solution of an ordinary differential equation can be interpreted as the exact solution of a nearby modified equation. Investigating the behaviour of numerical solutions by analysing the modified equation is known as backward error analysis. If the original and modified equation share structural properties, then the exact and approximate solution share geometric features such as the existence of conserved quantities. Conjugate symplectic methods preserve a modified symplectic form and a modified Hamiltonian when applied to a Hamiltonian system. We show how a blended version of variational and symplectic techniques can be used to compute modified symplectic and Hamiltonian structures. In contrast to other approaches, our backward error analysis method does not rely on an ansatz but computes the structures systematically, provided that a variational formulation of the method is known. The technique is illustrated on the example of symmetric linear multistep methods with matrix coefficients. file_id: '32801' file_name: BEA_MultiStep_Matrix.pdf file_size: 827030 relation: main_file title: Backward error analysis for conjugate symplectic methods file_date_updated: 2022-08-12T16:48:59Z has_accepted_license: '1' intvolume: ' 15' issue: '1' keyword: - variational integrators - backward error analysis - Euler--Lagrange equations - multistep methods - conjugate symplectic methods language: - iso: eng oa: '1' page: 98-115 publication: Journal of Geometric Mechanics publication_status: published publisher: AIMS Press quality_controlled: '1' related_material: link: - relation: software url: https://github.com/Christian-Offen/BEAConjugateSymplectic status: public title: Backward error analysis for conjugate symplectic methods type: journal_article user_id: '85279' volume: 15 year: '2023' ... --- _id: '37654' abstract: - lang: eng text: "Recently, Hamiltonian neural networks (HNN) have been introduced to incorporate prior physical knowledge when\r\nlearning the dynamical equations of Hamiltonian systems. Hereby, the symplectic system structure is preserved despite\r\nthe data-driven modeling approach. However, preserving symmetries requires additional attention. In this research, we\r\nenhance the HNN with a Lie algebra framework to detect and embed symmetries in the neural network. This approach\r\nallows to simultaneously learn the symmetry group action and the total energy of the system. As illustrating examples,\r\na pendulum on a cart and a two-body problem from astrodynamics are considered." article_number: '063115' article_type: original author: - first_name: Eva full_name: Dierkes, Eva last_name: Dierkes - first_name: Christian full_name: Offen, Christian id: '85279' last_name: Offen orcid: 0000-0002-5940-8057 - first_name: Sina full_name: Ober-Blöbaum, Sina id: '16494' last_name: Ober-Blöbaum - first_name: Kathrin full_name: Flaßkamp, Kathrin last_name: Flaßkamp citation: ama: Dierkes E, Offen C, Ober-Blöbaum S, Flaßkamp K. Hamiltonian Neural Networks with Automatic Symmetry Detection. Chaos. 2023;33(6). doi:10.1063/5.0142969 apa: Dierkes, E., Offen, C., Ober-Blöbaum, S., & Flaßkamp, K. (2023). Hamiltonian Neural Networks with Automatic Symmetry Detection. Chaos, 33(6), Article 063115. https://doi.org/10.1063/5.0142969 bibtex: '@article{Dierkes_Offen_Ober-Blöbaum_Flaßkamp_2023, title={Hamiltonian Neural Networks with Automatic Symmetry Detection}, volume={33}, DOI={10.1063/5.0142969}, number={6063115}, journal={Chaos}, publisher={AIP Publishing}, author={Dierkes, Eva and Offen, Christian and Ober-Blöbaum, Sina and Flaßkamp, Kathrin}, year={2023} }' chicago: Dierkes, Eva, Christian Offen, Sina Ober-Blöbaum, and Kathrin Flaßkamp. “Hamiltonian Neural Networks with Automatic Symmetry Detection.” Chaos 33, no. 6 (2023). https://doi.org/10.1063/5.0142969. ieee: 'E. Dierkes, C. Offen, S. Ober-Blöbaum, and K. Flaßkamp, “Hamiltonian Neural Networks with Automatic Symmetry Detection,” Chaos, vol. 33, no. 6, Art. no. 063115, 2023, doi: 10.1063/5.0142969.' mla: Dierkes, Eva, et al. “Hamiltonian Neural Networks with Automatic Symmetry Detection.” Chaos, vol. 33, no. 6, 063115, AIP Publishing, 2023, doi:10.1063/5.0142969. short: E. Dierkes, C. Offen, S. Ober-Blöbaum, K. Flaßkamp, Chaos 33 (2023). date_created: 2023-01-20T09:10:06Z date_updated: 2023-08-10T08:37:01Z ddc: - '510' department: - _id: '636' doi: 10.1063/5.0142969 external_id: arxiv: - '2301.07928' file: - access_level: open_access content_type: application/pdf creator: coffen date_created: 2023-04-26T16:20:56Z date_updated: 2023-04-26T16:20:56Z description: |- Incorporating physical system knowledge into data-driven system identification has been shown to be beneficial. The approach presented in this article combines learning of an energy-conserving model from data with detecting a Lie group representation of the unknown system symmetry. The proposed approach can improve the learned model and reveal underlying symmetry simultaneously. file_id: '44205' file_name: JournalPaper_main.pdf file_size: 5200111 relation: main_file title: Hamiltonian Neural Networks with Automatic Symmetry Detection file_date_updated: 2023-04-26T16:20:56Z has_accepted_license: '1' intvolume: ' 33' issue: '6' language: - iso: eng oa: '1' publication: Chaos publication_identifier: issn: - 1054-1500 publication_status: published publisher: AIP Publishing related_material: link: - description: GitHub relation: software url: https://github.com/eva-dierkes/HNN_withSymmetries status: public title: Hamiltonian Neural Networks with Automatic Symmetry Detection type: journal_article user_id: '85279' volume: 33 year: '2023' ...