Robert Bamler
Scholar

Robert Bamler

Google Scholar ID: LwvdNAgAAAAJ
University of Tübingen, Germany
scalable Bayesian inferencedeep probabilistic modelsneural compressiondecentralized machine learning
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Citations & Impact
All-time
Citations
1,588
 
H-index
18
 
i10-index
20
 
Publications
20
 
Co-authors
17
list available
Contact
No contact links provided.
Publications
6 items
Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling
2025
Cited
0
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding
2025
Cited
0
Verbalized Machine Learning: Revisiting Machine Learning with Language Models
arXiv.org · 2024
Cited
5
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks
arXiv.org · 2024
Cited
2
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
arXiv.org · 2024
Cited
3
On the Challenges and Opportunities in Generative AI
arXiv.org · 2024
Cited
12
Resume (English only)
Co-authors
17 total
Stephan Mandt
Stephan Mandt
Associate Professor, University of California, Irvine
Fabian Jirasek
Fabian Jirasek
Laboratory of Engineering Themodynamics (LTD), RPTU Kaiserslautern
Co-author 3
Co-author 3
Co-author 4
Co-author 4
Hans Hasse
Hans Hasse
University of Kaiserslautern
Marius Kloft
Marius Kloft
Professor, RPTU Kaiserslautern-Landau
Co-author 7
Co-author 7
Co-author 8
Co-author 8