Scholar
Philipp Hennig
Google Scholar ID: UeG5w08AAAAJ
University of Tübingen
Probabilistic Numerics
Machine Learning
Computer Science
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Citations & Impact
All-time
Citations
8,219
H-index
42
i10-index
95
Publications
20
Co-authors
191
list available
Contact
No contact links provided.
Publications
22 items
Bayesian Scattering: A Principled Baseline for Uncertainty on Image Data
2026
Cited
0
Mitigating Forgetting in Low Rank Adaptation
2025
Cited
0
Closed-Form Last Layer Optimization
2025
Cited
0
Assessing the risk of future Dunkelflaute events for Germany using generative deep learning
2025
Cited
0
Sketching Low-Rank Plus Diagonal Matrices
2025
Cited
0
laplax -- Laplace Approximations with JAX
2025
Cited
0
Geometric Gaussian Approximations of Probability Distributions
2025
Cited
0
Gaussian Processes and Reproducing Kernels: Connections and Equivalences
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published multiple high-impact papers in journals such as Nature.
- Participated in several significant research projects including PANAMA.
Research Experience
- 2019 to 2022, Postdoctoral Fellow at the University of Tübingen, involved in various machine learning projects.
- Key research projects included the development of new probabilistic numerical methods.
Education
- Ph.D., University of Tübingen, Advisor: Philipp Hennig, 2015-2019, Computer Science
- M.S., Stanford University, 2013-2015, Applied Mathematics
Background
- Research Interests: Machine Learning, Artificial Intelligence
- Specialization: Computational Science
- Brief Introduction: Focuses on developing and understanding intelligent algorithms, particularly those capable of handling uncertainty.
Miscellany
- Has a strong interest in music, enjoys playing the guitar during free time.
- Actively contributes to open-source software, being an active member of several well-known projects.
Co-authors
191 total
Agustinus Kristiadi
Assistant Professor, Western University
Frank Schneider
Postdoctoral Researcher, University of Tübingen
Co-author 3
Bernhard Schölkopf
Director, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH
Co-author 5
Co-author 6
Michael A Osborne
Professor of Machine Learning, University of Oxford
Runa Eschenhagen
PhD student, University of Cambridge
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