Scholar
Jed Guzelkabaagac
Google Scholar ID: leZriSMAAAAJ
MSc Student, Technical University of Munich
Citations & Impact
Citations
0
H-index
0
i10-index
0
Publications
1
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Publications: ICML 2025 Spotlight paper 'Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting'
- - Awards: Academic Excellence, M.Sc. GPA 1.2 (top 2% of cohort) at Technical University of Munich
- - Scholarships: Konrad Zuse School of Excellence in Reliable AI (2023–25), University of Alberta Research Experience Stipend (2025)
Research Experience
- - Research Projects: Spanning robustness, generative models, uncertainty estimation, and scientific ML
- - International Research Experience: Across the UK, Germany, and Canada, including a UARE placement at the University of Alberta
Education
- - Degree: M.Sc. (Mathematics in Data Science)
- - University: Technical University of Munich
- - Time: 2023–25
- - Advisor: Konrad Zuse School of Excellence in Reliable AI
Background
- - Research Interests: Mathematics and foundations of machine learning, with an emphasis on generative models, robustness, and graph-based learning
- - Professional Field: Mathematics in Data Science
- - Introduction: MSc student in Mathematics in Data Science at Technical University of Munich, and a research scholar with the Konrad Zuse School of Excellence in Reliable AI (relAI)
Miscellany
- - Personal Interests: Not explicitly mentioned
Co-authors