Scholar
Maximilian Stubbemann
Google Scholar ID: jnaEhVQAAAAJ
Information Systems and Machine Learning Lab, University of Hildesheim, Germany
Citations & Impact
Citations
82
H-index
5
i10-index
2
Publications
20
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- STADE: Standard Deviation as a Pruning Metric, Arxiv, 2025
- Physiome-ODE: A Benchmark for Irregularly Sampled Time Sereis Forecasting based on Biological ODEs, ICLR, 2025
- A Cross-Domain Benchmark for Active Learning, Neural Information Processing Systems, 2024
- Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting, ECML PKDD 2024
- Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training, arXiv:2404.06966, 2024
- ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing, arXiv:2403.03812, 2024
- Moco: A Learnable Meta Optimizer for Combinatorial Optimization, Advances in Know, 2024
Research Experience
- Works as a researcher at the Information Systems and Machine Learning Lab (ISMLL) and has been involved in multiple research projects.
Background
- Research interests include information systems and machine learning. He works at the Information Systems and Machine Learning Lab (ISMLL).
