Max in a lantern-lit Tokyo side-street with the Tokyo Skytree in the background.

Max Müller-Eberstein

飯島マックス

Hej! I'm a Postdoc researcher in the field of AI, working with Prof. Anna Rogers at the IT University of Copenhagen's NLPnorth Lab and the Pioneer Centre for Artificial Intelligence.

My research focuses on identifying consistencies in how machines learn in order to make training efficient enough for underserved communities. Towards this goal, I study the learning dynamics of ML models and leverage overlaps across languages and other modalities (e.g., visual art and music). Ultimately, I believe that understanding how models construct their knowledge is essential to broadening who has access to the world's information.

In my PhD on Quantifying Linguistic Variation, we improved the transferability of NLP models across languages and domains, as part of the European Laboratory for Learning and Intelligent Systems' (ELLIS) fellowship for outstanding young researchers. The project was advised by Prof. Barbara Plank, Prof. Rob van der Goot, and Prof. Ivan Titov. Over the years, I have also been very fortunate to intern with excellent industry research teams at Apple and Amazon.

Additionally, I'm also somewhat known for the overly elaborate presentation of research papers (a.k.a., scientific communication).

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

Blog Code Art

What's New?

Profile

Research Featured

Jul 2024
MIT Press
Hypernetworks for Personalizing ASR to Atypical Speech
Müller-Eberstein=, Yee=, Yang, Mantena and Lea (2024)
In Transactions of the Association for Computational Linguistics (TACL)
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)
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)
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)
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)

[ᐧᐧᐧ] Please find the full list of publications under mxij.me/research.

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

2024 – present
Copenhagen, Denmark
IT-Universitetet i København / Computer Science Department
Postdoctoral Researcher, Natural Language Processing
2023 – present
Copenhagen, Denmark
Pioneer Centre for Artifical Intelligence / Speech and Language Collaboratory
Affiliated Researcher
2020 – 2024
Copenhagen, Denmark
IT-Universitetet i København / Computer Science Department
ELLIS PhD Fellow, Project Supervisor and Teaching Assistant
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

Tracking the Acquisition of Linguistic Knowledge throughout Language Model Training Oct 2024
Düsseldorf, Germany
Deep Linguistic Modeling Colloquium, HHU Düsseldorf
Exploring Typological Subspaces Jun 2024
Copenhagen, Denmark
NLP Seminar, Aalborg University
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 – 2024
Copenhagen, Denmark
Munich, Germany
Guest Lecturer
Seminars in Data Science, IT University of Copenhagen
Introduction to NLP and Deep Learning, IT University of Copenhagen
Vertiefung der mathematischen und linguistischen Grundlagen der Computerlinguistik, LMU Munich Human-centric NLP Seminar, 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