Scholar
Robert Bamler
Google Scholar ID: LwvdNAgAAAAJ
University of Tübingen, Germany
Citations & Impact
Citations
1,135
H-index
16
i10-index
20
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Representative publications include deep-learning model compression, image compression with deep-learning models, improvements to black box variational inference (BBVI), and its applications to natural sciences and time series models. Specific papers include: 'Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding', 'Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling', etc.
Research Experience
- Was a postdoctoral scholar in the statistical machine learning group of UC Irvine led by Stephan Mandt; was a machine learning researcher at Disney Research (a part of Walt Disney Imagineering) in Pittsburgh and Los Angeles; was a professor of data science and machine learning at the University of Tübingen, Germany; about to start a new position in the MPEG-AI team at Nokia in Munich.
Education
- Received his PhD in theoretical statistical and quantum physics from the University of Cologne in 2016, advised by Achim Rosch and with support from German Telekom Foundation.
Background
- Machine-learning researcher working on AI infrastructure (specifically model compression) and machine-learning methods for video compression.
