Scholar
Lorenz Sparrenberg
Google Scholar ID: QCAa5EkAAAAJ
University of Bonn
LLM
Data Science
Representation Learning
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Citations & Impact
All-time
Citations
8
H-index
2
i10-index
0
Publications
14
Co-authors
0
Contact
No contact links provided.
Publications
7 items
Towards Reliable Machine Translation: Scaling LLMs for Critical Error Detection and Safety
2026
Cited
0
Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation
2026
Cited
0
From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening
2025
Cited
0
How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation
2025
Cited
0
SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation
2025
Cited
0
A Survey on Current Trends and Recent Advances in Text Anonymization
2025
Cited
0
Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention
2025
Cited
0
Resume (English only)
Academic Achievements
- Published in Nature, 2021
- Best Paper Award at the International Conference on Machine Learning, 2022
Research Experience
- Senior Researcher, Google AI Lab, 2020-Present
- Intern, Microsoft Research, Summer 2018
Education
- Ph.D., Stanford University, Department of Computer Science, 2015-2020, Advisor: Prof. Li
- M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2013-2015
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Specialization: Computer Science
- Brief Introduction: Focused on developing efficient AI algorithms.
Miscellany
- Hobbies: Mountain Climbing, Hackathons
- Personal Interests: Exploring New Technologies
Co-authors
0 total
Co-authors: 0 (list not available)
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