Scholar
Emanuel Sommer
Google Scholar ID: qa2P1tYAAAAJ
PhD Candidate @ muniq.ai lab | Department of Statistics, LMU Munich
(Bayesian) Deep Learning
Uncertainty Quantification
Statistics
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Citations & Impact
All-time
Citations
19
H-index
3
i10-index
0
Publications
8
Co-authors
15
list available
Publications
9 items
Guiding Posterior Exploration with Optimizer-Derived Geometry
2026
Cited
0
On the Construction and Implications of Low-Loss Valleys in LoRA-based Bayesian Inference
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
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
Can Microcanonical Langevin Dynamics Leverage Mini-Batch Gradient Noise?
2026
Cited
0
Paths and Ambient Spaces in Neural Loss Landscapes
2025
Cited
0
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Co-authors
14 total
David Rügamer
Professor at LMU Munich, PI at Munich Center for Machine Learning
Bernd Bischl
Chair of Statistical Learning and Data Science, LMU Munich
Theodore Papamarkou
Founder & CEO, PolyShape
Lisa Wimmer
PhD student @LMU Munich | Munich Center for Machine Learning (MCML) | relAI Konrad Zuse School
Ludwig Bothmann
Postdoctoral Researcher, LMU Munich
Claudia Czado
Associate Professor for Applied Mathematical Statistics
Jakob Robnik
Graduate student at UC Berkeley
Uros Seljak
Professor of Physics, UC Berkeley
