David Holzmüller
Scholar

David Holzmüller

Google Scholar ID: pIT7A7QAAAAJ
Postdoc, INRIA
Deep LearningMachine LearningTabular DataUncertainty Quantification
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
465
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
32
list available
Contact
No contact links provided.
Publications
6 items
A Variational Estimator for $L_p$ Calibration Errors
2026
Cited
0
TabICLv2: A better, faster, scalable, and open tabular foundation model
2026
Cited
1
Conditional Coverage Diagnostics for Conformal Prediction
2025
Cited
0
Structured Matrix Scaling for Multi-Class Calibration
2025
Cited
0
xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
2025
Cited
0
Beyond ReLU: How Activations Affect Neural Kernels and Random Wide Networks
2025
Cited
0
Resume (English only)
Co-authors
32 total
Ingo Steinwart
Ingo Steinwart
University of Stuttgart
Co-author 2
Co-author 2
Co-author 3
Co-author 3
Mathias Niepert
Mathias Niepert
University of Stuttgart & NEC Labs Europe
Co-author 5
Co-author 5
Marine Le Morvan
Marine Le Morvan
Research scientist, INRIA Saclay
Jingang QU
Jingang QU
Centre Inria de Saclay, SODA
Gaël Varoquaux
Gaël Varoquaux
Research director, INRIA