David Rügamer
Scholar

David Rügamer

Google Scholar ID: _DYguksAAAAJ
Professor at LMU Munich, PI at Munich Center for Machine Learning
Deep LearningUncertainty QuantificationOptimizationStatistics
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Citations & Impact
All-time
Citations
1,619
 
H-index
23
 
i10-index
43
 
Publications
20
 
Co-authors
22
list available
Contact
Emaildavid.ruegamer@stat.uni-muenchen.deGitHubOpen ↗LinkedInOpen ↗
Publications
12 items
On the Construction and Implications of Low-Loss Valleys in LoRA-based Bayesian Inference
2026
Cited
0
On the Epistemic Uncertainty of Overparametrized Neural Networks
2026
Cited
0
Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning
2026
Cited
0
bde: A Python Package for Bayesian Deep Ensembles via MILE
2026
Cited
0
Rethinking Intrinsic Dimension Estimation in Neural Representations
2026
Cited
0
Towards E-Value Based Stopping Rules for Bayesian Deep Ensembles
2026
Cited
0
On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors
2026
Cited
0
Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities
2026
Cited
0
Resume (English only)
Co-authors
22 total
Bernd Bischl
Bernd Bischl
Chair of Statistical Learning and Data Science, LMU Munich
Sonja Greven
Sonja Greven
Chair of Statistics, Humboldt-Universität zu Berlin
Christopher Mutschler
Christopher Mutschler
Division Director Positioning and Networks, Fraunhofer IIS
Thomas Kneib
Thomas Kneib
Chair of Statistics, Georg-August-University Göttingen
Tim G. J. Rudner
Tim G. J. Rudner
Assistant Professor of Statistical Sciences, University of Toronto
Vincent Fortuin
Vincent Fortuin
Principal Investigator, Helmholtz AI & TU Munich
Co-author 7
Co-author 7
Mohammad Emtiyaz Khan
Mohammad Emtiyaz Khan
Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo