Max Müller-Eberstein

Currently an ELLIS PhD Fellow with Prof. Barbara Plank, co-supervised by Prof. Rob van der Goot, and Prof. Ivan Titov, with a research focus on Quantifying Linguistic Variation. Primarily, I am based at the IT University Copenhagen's NLPnorth Lab and LMU Munich's MaiNLP Lab, with additional affiliations at the University of Edinburgh, and the Pioneer Centre for Artificial Intelligence.

My main theoretical interest concerns bridging seemingly disparate modalities by identifying overlaps between their fundamental, information-theoretic structures, e.g., via structural similarities across languages, or consistentcies across visual art and music. In practice, I am interested in applying these cross-modal mappings to improving the accessibility of information for underserved communities.

In addition to the short profile below, these pages list a variety of personal and artsy projects:

Designs Blog Projects

Research

Dec 2023 Singapore Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training Müller-Eberstein, van der Goot, Plank and Titov (2023): In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF ACL BIB PST VID GIT
Dec 2022 Abu Dhabi, UAE Spectral Probing Müller-Eberstein, van der Goot and Plank (2022c): In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF ACL BIB PST VID GIT
May 2022 Dublin, Ireland Probing for Labeled Dependency Trees Müller-Eberstein, van der Goot and Plank (2022a): In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL)
PDF ACL BIB PST VID GIT
Nov 2021 Punta Cana, Dominican Republic Genre as Weak Supervision for Cross-lingual Dependency Parsing Müller-Eberstein, van der Goot and Plank (2021): In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF ACL BIB PST VID GIT
Nov 2019 Seoul, Republic of Korea Translating Visual Works of Art into Music Müller-Eberstein and van Noord (2019): In Workshop Proceedings of IEEE International Conference on Computer Vision 2019 (ICCV)
Best Poster Eastern European Machine Learning Summer School 2020 (EEML)
PDF BIB VID GIT

Education

2020 – 2024 Copenhagen, Denmark Munich, Germany Edinburgh, UK IT-Universitetet i København / IT University of Copenhagen Ludwig-Maximilians-Universität München / LMU Munich (affiliated) Oilthigh Dhùn Èideann / University of Edinburgh (affiliated): ELLIS PhD Fellow, Natural Language Processing, with Prof. Barbara Plank
co-supervised by Prof. Rob van der Goot, and Prof. Ivan Titov
2017 – 2019 Amsterdam, The Netherlands Universiteit van Amsterdam / University of Amsterdam: Master of Science, Artificial Intelligence
supported by a scholarship from the German Academic Exchange Service (DAAD)
2014 – 2017 Heidelberg, Germany Ruprecht-Karls-Universität Heidelberg / Heidelberg University: Bachelor of Arts, Computational Linguistics

Work

2020 – present Copenhagen, Denmark IT-Universitetet i København / Computer Science Department: ELLIS PhD Fellow, Project Supervisor and Teaching Assistant
2023 – present Copenhagen, Denmark Pioneer Centre for Artifical Intelligence / Speech and Language Collaboratory: Affiliated Researcher
2023 Seattle, USA Apple Inc. / AI/ML / Accessibility: Machine Learning Research Intern
2022 Cambridge, UK Apple Inc. / AI/ML / Siri: Machine Learning Research Engineer Intern
2018 Seattle, USA Amazon Inc. / Alexa AI / Intelligent Decisions Team: Language Engineer Intern

Talks

2024 Nyborg, Denmark Scientific Contributions in Resource-constrained Environments: National Data Science PhD Meetup 2.0, Danish Data Science Academy (DDSA)
2023 Tokyo, Japan What's in a Task?: ML Waseda, Waseda University
2023 Uppsala, Sweden What Even Is a Domain?: Språkteknologi Seminar, Uppsala University
2023 Copenhagen, Denmark What We Share — A Language Model's Perspective: Multi* Workshop on Linguistic Variation, IT University of Copenhagen
2023 Edinburgh, UK Subspaces of Linguistic Variation: EdinburghNLP Seminar Series, University of Edinburgh
2022 Cambridge, UK Quantifying Linguistic Variation: Language Technology Lab Seminar Series, University of Cambridge
2019 Saarland, Germany Surfing Through Audio-Semantic Latent Space: 29. Tagung der Computerlinguistik-Studierenden, Universität des Saarlandes

Teaching

2021 Copenhagen, Denmark Course Organizer: Communicating State-of-the-art NLP Research to a Broader Audience, IT University of Copenhagen
2021 – 2023 Copenhagen, Denmark Munich, Germany Guest Lecturer: Introduction to NLP and Deep Learning, IT University of Copenhagen
Vertiefung der mathematischen und linguistischen Grundlagen der Computerlinguistik, LMU Munich
2021 – 2022 Copenhagen, Denmark Supervisor: Musical Impressions and Album Art: Investigating the Patterns, IT University of Copenhagen
Pylophonic: Multi-instrument Music Generation with Transformer-XL, IT University of Copenhagen
2015 – 2023 Copenhagen, Denmark Heidelberg, Germany Teaching Assistant: Introduction to NLP and Deep Learning, IT University of Copenhagen
Introduction to Computational Linguistics, Heidelberg University
Advanced Programming: Java, Heidelberg University
Mathematical Foundations, Heidelberg University

Community

present Multiple Venues Area Chair and Reviewer for NLP Conferences: ACL 2024, NAACL 2024, ACL 2023, EACL 2023, EMNNLP 2022, WiNLP 2022, NAACL 2022, CoNLL 2021 Outstanding Reviewer
2016 – 2024 Multiple Venues Conference/Workshop Chair: The 9th Workshop on Noisy and User-generated Text (W-NUT at EACL 2024)
Multi* Workshop on Linguistic Variation at ITU Copenhagen
26. Tagung der Computerlinguistik-Studierenden
2015 – 2017 Heidelberg, Germany Elected Member to the Faculty, Institute and Student Councils: Computational Linguistics, Faculty of Neophilology, Universität Heidelberg