Scholar
Runa Eschenhagen
Google Scholar ID: Ribmq4oAAAAJ
PhD student, University of Cambridge
Citations & Impact
Citations
1,231
H-index
12
i10-index
13
Publications
20
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as NeurIPS and ICML, including 'Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner' and 'Better Hessians Matter: Studying the Impact of Curvature Approximations in Influence Functions'. Received the Qualcomm Innovation Fellowship.
Research Experience
- Interned twice at Meta (FAIR in New York and AI & Systems Co-Design in Menlo Park), collaborating with Aaron Defazio and Hao-Jun Michael Shi. Also worked as an external research collaborator at Meta Superintelligence Labs (Infrastructure Optimizations).
Education
- Obtained an MSc in Machine Learning from the University of Tübingen and a BSc in Cognitive Science from the University of Osnabrück. Supervised by Richard Turner during her PhD.
Background
- A PhD student in the Machine Learning Group at the University of Cambridge, with a broad interest in better understanding and improving deep learning. Currently working on neural network training algorithms and dynamics.
