Scholar
Ulf Brefeld
Google Scholar ID: oWmjswoAAAAJ
Leuphana Universität Lüneburg
Machine Learning
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Citations & Impact
All-time
Citations
3,128
H-index
21
i10-index
35
Publications
20
Co-authors
33
list available
Contact
No contact links provided.
Publications
2 items
Common Data Format (CDF): A Standardized Format for Match-Data in Football (Soccer)
2025
Cited
0
Principled Interpolation in Normalizing Flows
ECML/PKDD · 2020
Cited
3
Resume (English only)
Academic Achievements
- Published 'Improved Deep Neural Network Architectures' at ICML, 2019
- Received Young Scientist of the Year Award by the American Academy of Sciences, 2021
- Holds two patents related to optimization methods for machine learning models
Research Experience
- Project Lead, AI Lab, Google, Specializing in the development of Natural Language Processing technologies, 2020-Present
- Research Assistant, Machine Learning Department, Microsoft Research, Participated in several deep learning projects, 2018-2020
Education
- Ph.D. in Computer Science, Massachusetts Institute of Technology, Advisor: Prof. Zhang, 2015-2020
- M.S. in Computer Engineering, Stanford University, 2013-2015
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Expertise: Computer Science
- Biography: Focused on developing efficient AI algorithms to tackle complex real-world problems.
Miscellany
- Hobbies: Reading science fiction, participating in coding competitions
- Other: Actively involved in community service, particularly promoting STEM education
Co-authors
33 total
Marius Kloft
Professor, RPTU Kaiserslautern-Landau
Co-author 2
Klaus-Robert Müller
TU Berlin & Korea University & Google DeepMind & Max Planck Institute for Informatics, Germany
Co-author 4
Konrad Rieck
Technische Universität Berlin
Co-author 6
Pavel Laskov
University of Liechtenstein
Alexander Binder
Professor, ScaDS.AI and Faculty of Math and Computer Science, Uni Leipzig, Germany
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