Marius Köppel

Postdoc, ETHZ - ETH Zurich

Joined

February 2021

Names

Marius Köppel (Preferred)

Emails

****@uni-mainz.de (Confirmed)

****@koeppel123.de (Confirmed)

****@phys.ethz.ch (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Postdoc

ETHZ - ETH Zurich (ethz.ch)

2024 – Present

PhD student

University of Mainz (uni-mainz.de)

2019 – 2024

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

10 Years of Fair Representations: Challenges and Opportunities
Mattia Cerrato, Marius Köppel, Philipp Wolf, Stefan Kramer
- CoRR 2024
- Readers: Everyone
Google Topics as a way out of the cookie dilemma?
Marius Köppel, Jan-Philipp Muttach, Gerrit Hornung
- CoRR 2024
- Readers: Everyone
Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform
Tim Klausmann, Marius Köppel, Daniel Schunk, Isabell Zipperle
- CoRR 2024
- Readers: Everyone
Google Topics als Ausweg aus dem Cookie-Dilemma? - Rechtliche Anforderungen an die technische Alternative zur individualisierten Werbung im Internet
Jan-Philipp Muttach, Marius Köppel, Gerrit Hornung
- Comput. und Recht 2023
- Readers: Everyone
The Case for Correctability in Fair Machine Learning
Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel
- EWAF 2023
- Readers: Everyone
Invariant Representations with Stochastically Quantized Neural Networks
Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer
- AAAI 2023
- Readers: Everyone
Ranking Creative Language Characteristics in Small Data Scenarios
Julia Siekiera, Marius Köppel, Edwin Simpson, Kevin Stowe, Iryna Gurevych, Stefan Kramer
- 2022 (modified: 20 Apr 2023)
- ICCC 2022
- Readers: Everyone
Fair Group-Shared Representations with Normalizing Flows
Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer
- 2022 (modified: 20 Apr 2023)
- CoRR 2022
- Readers: Everyone
Fair Interpretable Representation Learning with Correction Vectors
Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer
- 2022 (modified: 20 Apr 2023)
- CoRR 2022
- Readers: Everyone
Fair Interpretable Learning via Correction Vectors
Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer
- 2022 (modified: 20 Apr 2023)
- CoRR 2022
- Readers: Everyone

View all 15 publications