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
Publications
27 items
Hierarchical Bayesian Quadrature
2026
Cited
0
Scalable Bayesian Inference for Nonlinear Conservation Laws
2026
Cited
0
Conditioning Gaussian Processes on Almost Anything
2026
Cited
0
Learning POMDP World Models from Observations with Language-Model Priors
2026
Cited
0
Muon is Not That Special: Random or Inverted Spectra Work Just as Well
2026
Cited
0
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
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Resume
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
14 total
Agustinus Kristiadi
Assistant Professor, Western University
Frank Schneider
Postdoctoral Researcher, University of Tübingen
Bernhard Schölkopf
Director, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH
Michael A Osborne
Professor of Machine Learning, University of Oxford
Runa Eschenhagen
PhD student, University of Cambridge
Stefan Schaal
Robotics, Machine Learning, AI, Neuroscience
Nicholas Krämer
Technical University of Denmark
Marvin Pförtner
University of Tübingen