Scholar
Manuel Haussmann
Google Scholar ID: YXBAT4wAAAAJ
Syddansk Universitet
Citations & Impact
Citations
402
H-index
10
i10-index
11
Publications
20
Co-authors
27
list available
Publications
Resume (English only)
Academic Achievements
- Published 'Deep Exploration with PAC-Bayes' at ECAI 2025, proposing a novel actor-critic algorithm using PAC-Bayesian bounds.
- Published 'Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning' at NeurIPS 2024.
- Published 'High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders' at ICLR 2025.
- Published 'Latent variable model for high-dimensional point process with structured missingness' at ICML 2024.
- Published 'Latent mixed-effect models for high-dimensional longitudinal data' in TMLR 2025.
- Multiple preprints on arXiv covering reinforcement learning, Bayesian optimization, and uncertainty modeling.
- Developed ObjectRL, an object-oriented reinforcement learning codebase (2025).
Background
- Research focus is on Bayesian probabilistic machine learning with applications ranging from physics over health data to reinforcement learning.
- Serves as an Action Editor for Transactions on Machine Learning Research (TMLR).
- Reviewer for major ML conferences including AAAI, AISTATS, ICLR, ICML, and NeurIPS.
- Member of the ICBINB initiative.
- On the academic job market starting June 2026 and open to collaborations.
