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Works (20)

Pairwise learning to rank by neural networks revisited: reconstruction, theoretical analysis and practical performance

Machine Learning
2025-04 | Journal article
DOI: 10.1007/s10994-024-06644-6
Contributors: Marius Köppel; Alexander Segner; Martin Wagener; Lukas Pensel; Andreas Karwath; Stefan Kramer
Source: check_circle
Crossref

Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform

AAAI2023 Artificial Intelligence for Education
2023 | Conference paper
Contributors: Klausmann, Tim; Köppel, Marius; Schunk, Daniel; Zipperle, Isabell
Source: Self-asserted source
Marius Köppel

Data Flow in the Mu3e DAQ

IEEE Transactions on Nuclear Science
2023 | Journal article
DOI: 10.1109/TNS.2023.3276470
Contributors: Marius Köppel
Source: check_circle
Crossref

Google Topics als Ausweg aus dem Cookie-Dilemma?—Rechtliche Anforderungen an die technische Alternative zur individualisierten Werbung im Internet

Computer und Recht
2023 | Journal article
Contributors: Muttach, Jan-Philipp; Köppel, Marius; Hornung, Gerrit
Source: Self-asserted source
Marius Köppel

Invariant representations with stochastically quantized neural networks

Proceedings of the AAAI Conference on Artificial Intelligence
2023 | Conference paper
Contributors: Cerrato, Mattia; Köppel, Marius; Esposito, Roberto; Kramer, Stefan
Source: Self-asserted source
Marius Köppel

The Case for Correctability in Fair Machine Learning

EWAF 2023 European Workshop on Algorithmic Fairness
2023 | Conference paper
Contributors: Cerrato, Mattia; Coronel, Alesia Vallenas; Köppel, Marius
Source: Self-asserted source
Marius Köppel

Fair Interpretable Representation Learning with Correction Vectors

arXiv preprint arXiv:2202.03078
2022 | Journal article
Contributors: Cerrato, Mattia; Coronel, Alesia Vallenas; Köppel, Marius; Segner, Alexander; Esposito, Roberto; Kramer, Stefan
Source: Self-asserted source
Marius Köppel

Learning to rank Higgs boson candidates

Scientific reports
2022 | Journal article
Contributors: Köppel, Marius; Segner, Alexander; Wagener, Martin; Pensel, Lukas; Karwath, Andreas; Schmitt, Christian; Kramer, Stefan
Source: Self-asserted source
Marius Köppel

Mu3e Integration Run 2021

The 22nd International Workshop on Neutrinos from Accelerators
2022 | Conference paper
Contributors: Köppel, Marius
Source: Self-asserted source
Marius Köppel

Ranking Creative Language Characteristics in Small Data Scenarios

International Conference on Computational Creativity (ICCC)
2022 | Conference paper
Contributors: Siekiera, Julia; Köppel, Marius; Simpson, Edwin; Stowe, Kevin; Gurevych, Iryna; Kramer, Stefan
Source: Self-asserted source
Marius Köppel

Fair Group-Shared Representations with Normalizing Flows

ICLR-21 Workshop on Responsible AI
2021 | Conference paper
Contributors: Cerrato, Mattia; Köppel, Marius; Segner, Alexander; Kramer, Stefan
Source: Self-asserted source
Marius Köppel

Fair Interpretable Learning via Correction Vectors

ICLR-21 Workshop on Responsible AI
2021 | Conference paper
Contributors: Cerrato, Mattia; Köppel, Marius; Segner, Alexander; Kramer, Stefan
Source: Self-asserted source
Marius Köppel

Technical design of the phase I Mu3e experiment

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
2021 | Journal article
Contributors: Arndt, K; Augustin, H; Baesso, P; Berger, N; Berg, F; Betancourt, C; Bortoletto, D; Bravar, A; Briggl, K; Bruch, D vom et al.
Source: Self-asserted source
Marius Köppel

The Mu3e Data Acquisition

IEEE Transactions on Nuclear Science
2021 | Journal article
Contributors: Augustin, Heiko; Berger, Niklaus; Bravar, Alessandro; Briggl, Konrad; Chenm, Huangshan; Corrodi, Simon; Dittmeier, Sebastian; Gayther, Ben; Gerritzen, Lukas; Gottschalk, Dirk et al.
Source: Self-asserted source
Marius Köppel

Fair pairwise learning to rank

2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)
2020 | Conference paper
Contributors: Cerrato, Mattia; Köppel, Marius; Segner, Alexander; Esposito, Roberto; Kramer, Stefan
Source: Self-asserted source
Marius Köppel

Pairwise learning to rank by neural networks revisited: Reconstruction, theoretical analysis and practical performance

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16--20, 2019, Proceedings, Part III
2020 | Conference paper
Contributors: Köppel, Marius; Segner, Alexander; Wagener, Martin; Pensel, Lukas; Karwath, Andreas; Kramer, Stefan
Source: Self-asserted source
Marius Köppel

Data Flow in the Mu3e Filter Farm

https://www.psi.ch/en/media/54381/download
2019 | Other
Contributors: Köppel, Marius
Source: Self-asserted source
Marius Köppel

Performance of the large scale HV-CMOS pixel sensor MuPix8

Journal of Instrumentation
2019 | Journal article
Contributors: Augustin, H; Berger, N; Blattgerste, C; Dittmeier, S; Ehrler, F; Grzesik, C; Hammerich, J; Herkert, A; Huth, L; Immig, D et al.
Source: Self-asserted source
Marius Köppel

Studien zu Jetenergiekorrekturen von Subjets bei der Suche nach Higgs-Produktion in Assoziation mit einem Top-Quark-Paar

2016 | Dissertation or Thesis
Contributors: Köppel, Marius
Source: Self-asserted source
Marius Köppel

Daten und Sicherheit

Journal article
Contributors: Muttach, Jan-Philipp; Köppel, Marius; Hornung, Gerrit
Source: Self-asserted source
Marius Köppel
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