Scholar
David Holzmüller
Google Scholar ID: pIT7A7QAAAAJ
Postdoc, INRIA
Deep Learning
Machine Learning
Tabular Data
Uncertainty Quantification
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Citations & Impact
All-time
Citations
465
H-index
12
i10-index
14
Publications
20
Co-authors
32
list available
Publications
11 items
Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization
2026
Cited
0
Beyond IID: How General Are Tabular Foundation Models, Really?
2026
Cited
0
CalArena: A Large-Scale Post-Hoc Calibration Benchmark
2026
Cited
0
STRABLE: Benchmarking Tabular Machine Learning with Strings
2026
Cited
0
MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
2026
Cited
0
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
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Co-authors
15 total
Ingo Steinwart
University of Stuttgart
Johannes Kästner
University of Stuttgart
Mathias Niepert
University of Stuttgart & NEC Labs Europe
Marine Le Morvan
Research scientist, INRIA Saclay
Jingang QU
Centre Inria de Saclay, SODA
Gaël Varoquaux
Research director, INRIA
Francis Bach
Inria - Ecole Normale Supérieure
Henrik Christiansen
NEC Laboratories Europe
