Scholar
Robert Bamler
Google Scholar ID: LwvdNAgAAAAJ
University of Tübingen, Germany
scalable Bayesian inference
deep probabilistic models
neural compression
decentralized 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
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
Co-authors
8 total
Stephan Mandt
Associate Professor, University of California, Irvine
Fabian Jirasek
Laboratory of Engineering Themodynamics (LTD), RPTU Kaiserslautern
Hans Hasse
University of Kaiserslautern
Marius Kloft
Professor, RPTU Kaiserslautern-Landau
Rodrigo Augusto da Silva Alves
Head of Research (Recombee) / Assistant Professor (CTU in Prague)
Robert A. Vandermeulen
Independent Researcher
Cheng Zhang
GenAI, Meta, ex-Microsoft Research
Erik B. Sudderth
Professor of Computer Science, UC Irvine
